The Roy Castle Lung Cancer Research Programme, Liverpool Lung Project - University of Liverpool
University of Liverpool · Academic
In term In term in the September 2026 edition: the latest version runs to 4 May 2029.
- Reference
- DARS-NIC-147982-J7KGV
- Current version
- v9.2
- Term of current version
- 22 January 2026 to 4 May 2029
- Start date
- Before 1 March 2019
- Data controller
- Sole Data Controller
- Commercial purposes
- Yes
- Sublicensing
- No
- Files released to date
- 29
Why the data was released
Objective for processing
The University of Liverpool requires access to NHS England data for the purpose of the following research project:
The Roy Castle Lung Cancer Research Programme’s Liverpool Lung Project (LLP)
The following is a summary of the aims of the research programme provided by the University of Liverpool:
The Liverpool Lung Project (LLP) has been active since 1997 with participants providing informed consent to their involvement. This observational study investigates differences between those diagnosed with lung cancer and control subjects without lung cancer, or between different lung cancers, to identify opportunities for improving diagnosis or treatment.
The LLP is one of the largest prospective lung cancer case-control and population cohort studies in Europe.
The primary objective of the LLP is to create risk models for lung cancer and identify risk models or “biomarkers” that inform the risk of lung cancer, provide opportunities for early diagnosis, or give information on disease prognosis. The LLP achieves those objectives through a rolling portfolio of projects which are devised in response to publications and developments in science. It is an evolving process as knowledge and research practices develop (e.g. the integration of new analytical methodologies). The research agenda is ultimately determined by the Chief Investigator in conjunction with collaborative researchers at the University of Liverpool. All projects (under the LLP) are interrelated and within the overarching scope of the LLP. Projects require funding and funding applications typically take between 3 and 6 months. Funding for a project is typically for between 1 and 5 years. New ideas for projects within the LLP arise on a constant basis but the process to lead an idea to a funding grant application typically takes 6 months. As part of that process, proposals are referred to a review group including the Principal Investigator, statistical advisor and peer reviewers, and ethical opinion is obtained.
A newer aim is to facilitate the development of Multi-Cancer Early Detection (MCED) tests, including lung cancer, and additionally to provide valuable pre-diagnostic samples collected as part of LLP to researchers studying other diseases.
The following NHS England data will be accessed:
• Hospital Episode Statistics Admitted Patient Care and Outpatients – necessary to provide more detail of cancer diagnostic pathways and treatment, which have a bearing on outcome measures and inform research on potential changes to care pathways influenced by the risk models being researched, and to provide information on co-morbidities (illness arising alongside lung cancer) and predisposing illness (e.g. respiratory diseases that has shown contribute to lung cancer risk) which informs both risk model and allows the LLP to correct outcome measures for confounding factors
• Hospital Episode Statistics for Accident & Emergency were initially obtained, as it is known many lung cancers are diagnosed in this setting, and linked to the epidemiology data already gathered from participants through detailed questionnaires obtained upon recruitment into the study and from their medical notes.;
• Civil Registration Mortality – necessary to identify both lung cancer incidence (within causes of death) and the time from recruitment or treatment until death (all-cause mortality and lung cancer-specific mortality, important measures of health status and outcome);
• Cancer Registration – necessary to identify lung cancer incidence and provide additional information on timing and specific diagnosis of lung cancers (a primary outcome measure of the study) and other cancers (which may be significant confounding factors that must be taken into account during analysis);
• Demographics – necessary to inform the current status of participants (alive, dead or lost to follow-up)
• NDRS Cancer Registration and NDRS Cancer Registration (pre-1995) (added 2024 as unavailable previously through DARS) – providing greater depth of data for cancer diagnosis (e.g. stage and basis of diagnosis), which are highly relevant to studies of early diagnosis, and treatment, which is especially important of analysis of disease outcome.
• NDRS Somatic Molecular Testing (added 2024 as unavailable previously through DARS) – provides definition to the subtype of cancer and how it's related to treatment and therefore outcome analysis.
The LLP are no longer requesting HES data relating to emergency care, as all subsequent diagnosis and treatment data will be within the inpatient and outpatient care, and/or included in Cancer Registration and Civil Registration Mortality data.
Following a substantial ethics amendment (Number 56 approved June 2023), use of cancer data for LLP participants now includes research for multi-cancer early detection; consent was already in place for use of data for other diseases and basic cancer registration and mortality data is already provided. However, this amendment explicitly states the objective of using the data with the aim of identifying biomarkers for multiple different types of cancer (rather than just for lung cancer).
Furthermore, the amendment also clarifies that "gold standard" extended, collated cancer registration data, provided by the National Disease Registration Service (NDRS) and including cancer stage, is also covered, for all cancers. Data on stage at diagnosis is fundamental to early detection and improved diagnosis research.
The level of the data will be:
• Identifiable – necessary to enable linkage of the data with data collected from other sources, including the participants themselves.
Data returned is subsequently linked only via the Member Number (LLP Master Patient Index), as a pseudonymisation key.
The data will be minimised as follows:
• Limited to data for a study cohort of 14,683 participants recruited by the LLP.
Participants were recruited in one of two ways, as a population cohort, or as a hospital cohort. Between 1996 and 2009, the LLP approached over 100,000 people in certain age groups living in certain postcode areas where it was known people were at the highest risk of developing lung cancer and those people were invited to consent to participate. Similar high-risk groups were recruited in the primary care setting from 2005 until 2015. Additionally, the LLP recruited individuals in hospital settings who had been referred with suspected lung cancer or were being treated for lung cancer. Recruitment to the first subset ended in 2015 but recruitment of cancer patients and suspected cancer patients to the ‘case-control’ subset continued.
All 14,683 participants consented to allow access to their medical records. For 11,028, consent also allowed the sharing of their identifying details with NHS England to facilitate data linkage and access. For 3,655, support under Section 251 NHS Act 2006 provides the legal gateway for sharing their identifiers with NHS England.
The University of Liverpool is the data controller as the organisation responsible for ensuring that the data will only be processed for the purpose described above.
The lawful basis for processing personal data under the UK GDPR is:
Article 6(1)(e) - processing is necessary for the performance of a task carried out in the public interest or in the exercise of official authority vested in the controller;
The lawful basis for processing special category data under the UK GDPR is:
Article 9(2)(j) - processing is necessary for archiving purposes in the public interest, scientific or historical research purposes or statistical purposes in accordance with Article 89(1) based on Union or Member State law which shall be proportionate to the aim pursued, respect the essence of the right to data protection and provide for suitable and specific measures to safeguard the fundamental rights and the interests of the data subject.
This processing is in the public interest because it adheres to the UK Policy Framework for Health and Social Care Research and aims to improve understanding of disease and opportunities for improved treatment resulting in lives saved and improved health.
The funding is provided by multiple organisations (research charities and government agencies, including international bodies). Their role is to provide funding for the research to the University of Liverpool (and collaborating research centres); they also support and encourage adherence to the highest standards of governance, public dissemination of results and scientific rigour. Research staff at the University take part in collaborations with research partners, some of which are from commercial organisations (e.g. Biotech or Pharmaceutical companies: https://liverpoollungproject.org.uk/commercial-collaborations/) and those organisations may provide grants to fund University staff or cover costs associated with provision of samples for joint analysis and publication.
Individuals from the Liverpool Heart & Chest Hospital, Clatterbridge Cancer Centre and Aintree University Hospitals NHS Foundation Trust are core collaborators in the LLP. Their roles are limited to providing additional data and information to the LLP during recruitment or from case note review. If the data collected provide under this Agreement indicates something of note, the University of Liverpool may request the appropriate clinical partner to undertake additional case review. A collaborator from the Wolfson Institute of Preventive Medicine acts in an advisory role on statistical modelling, but does not require access to the primary confidential patient information under this Agreement to do this. None of those individuals have access to the data under this Agreement.
Public and Patient Engagement for the LLP included representation during study design (contributing to the ethically approved protocol) including consideration of patient confidentiality. Ongoing engagement includes representation on local research groups and funding bodies.
Where individuals have opted out of disease registration by the National Disease Registration Service (NDRS), their data has been permanently removed from the registry and therefore will not be disseminated under this Data Sharing Agreement (DSA). https://digital.nhs.uk/ndrs/patients/opting-out
Processing activities
The University of Liverpool will transfer data to NHS England. The data will consist of identifying details (specifically NHS Number, Date of Birth, Postcode, Gender and a unique person ID) for the cohort to be linked with NHS England data.
NHS England data will provide the relevant records from the Demographics, Civil Registration Mortality and NDRS Cancer Registration datasets to the University of Liverpool. The data will:
• contain directly identifying data items including: NHS Number and Date of Birth, which are required to link the data at record level with data already held by the recipient
Since 2007 and under previous versions of this Agreement, NHS England or predecessor service providers have supplied linked data about participants’ deaths (date and cause), cancer registrations, exits from or re-entries to the NHS and Hospital Episode Statistics. As it has now become available from DARS in 2024 LLP are also requesting data from the NDRS datasets; LLP already collect this type of data from case note review, so it is covered by the current Ethics approval.
The data will not be transferred to any other location.
The data will be stored on servers at the University of Liverpool.
The data will be accessed onsite at the premises of the University of Liverpool only.
Personnel are prohibited from downloading or copying data to local devices.
The data will not leave England at any time.
Access is restricted to individuals within the Liverpool Roy Castle Lung Cancer Research Programme (Liverpool Lung Project) who have authorisation from the Chief Investigator. All such individuals are substantive employees of the University of Liverpool.
All personnel accessing the data have been appropriately trained in data protection and confidentiality.
The data will be linked at person record level with epidemiology data obtained from participants through detailed questionnaires at recruitment into the study and also from their medical notes.
The identifying details will be stored in a separate database to the linked dataset used for analysis. All analyses will use the pseudonymised dataset. There will be no requirement and no attempt to reidentify individuals when using the pseudonymised dataset.
Researchers from the Liverpool Roy Castle Lung Cancer Research Programme (Liverpool Lung Project) will process the data for the purposes described above.
The data covered by this Agreement will only be accessed by researchers employed by the University of Liverpool and not shared with any third parties. The LLP clinical resources team is a subset of the LLP (which is part of the Liverpool Roy Castle Lung Cancer Research Programme). In this instance it is only the LLP clinical resources team that has access to the database with identifiable data. Derived data, anonymous to anyone outside of the LLP clinical resources team with access to the clinical database, is produced for use in research. This incorporates some data derived from data received under this Agreement, but also relies on its relationship to data independently collated by LLP (e.g. from pathology records, electronic patient records, questionnaires). It is therefore difficult to identify which data was derived only from NHS England data. The derived data does not contain direct personal identifiers but includes a unique study ID that allows the LLP clinical resources team members to link results of analysis back to individuals. Dates are removed (replaced by ages or time periods, e.g. time from diagnosis to death) or limited (e.g. year or month + year); health events are curated (e.g. classed as lifetime events rather than time dependent events) or recoded to remove granularity (e.g. grouping into less specific disease terms). The derived data does not contain identifying information or any information which would result in any shared data being identifiable as originating or deriving from the data from NHS England or possible to reverse-engineer such that it can be so identified.
The risk of reidentification via data linkage is relevant for any derived data (including if subsequently shared) but is mitigated in a number of ways. Aggregation is widely used for sharing results, in which case individual level data is not available for linkage. Where aggregation is not possible, studies are of a substantial size for a common disease, so individuals cannot easily be identified unambiguously even based on multiple parameters, e.g. disease status, gender and age. Dates are suppressed (either truncated or converted to time periods/age). Minimal relevant summary data, e.g. disease type, appropriate to the research question addressed is provided, rather than full case histories. Geographical data (e.g. postcode, collected from the subject) is only used to contact individuals or to gather other data (e.g. deprivation index, radon exposure) – in which case data for postcode alone are used with no other identifying information; the subsequent data is linked to individuals within the secure LLP clinical database and only results (not location) shared subsequently. Given the high incidence of lung cancer and associated co-morbidities, it is considered incredibly unlikely that any re-identification could occur, even with access to other data.
SHARING OF DERIVED DATA
Unprocessed data from NHS England is never provided to any third party. Anonymised, derived data (processed as described above) may be shared as part of ethically approved research collaborations with academic or industrial partners (if subjects have consented to this). Where possible data is provided in aggregate form. However, the nature of the research performed often requires individual level data (to link biomarkers or attributes to specific health outcomes), in which case data is shared under a Data Sharing Agreement or equivalent contractual arrangement. The anonymous, derived data will conform to the specification shared with NHS England (filename ‘UoL Lung projects Data sharing MD 20190218’).
Any data shared must be subject to the conditions that the collaborating organisation:
i. must not combine it with other datasets which could potentially increase the risk of reidentification for individuals in the dataset;
ii. must not attempt to re-identify individuals in the dataset;
iii. must not onwardly share the dataset;
iv. must use the dataset for a defined purpose in support of the LLP’s aims defined within this Agreement, and
v. must not publish the individual level data.
Under the terms of this Agreement, the University of Liverpool is responsible for ensuring compliance with the above conditions.
Organisations receiving derived data will all be involved in health research that furthers the aims for use of the data. Organisations include non-profit and educational establishments and commercial research organisations (e.g. biotech and pharmaceutical companies). These organisations may be in the UK or oversees. In the case of international sites and commercial organisations, data will only be shared for subjects who have explicitly consented to this as part of study recruitment informed consent procedures. Data Transfer Agreements (or Material Transfer Agreements if samples are also included) cover all such transfers of data and confer all obligations of the relevant data protection legislation.
Only derived data that is anonymous in the hands of the recipient is shared by e-mail or by portable media, in which case all files are password protected and/or encrypted during transit. Data returned by collaborating organisations, including sophisticated analysis that would otherwise not be available, is linked by LLP Master Patient Index and used for the overarching long-term LLP objectives of building a greater understanding of how to identify individuals at high risk of lung cancer, diagnose or treat lung cancer and respiratory disease.
Expected output
The expected outputs of the processing will be:
• Reports for grant awarding bodies will be produced. This will include reports in support of additional funding applications for further analysis, ensuring maximum utility and benefit from the data provided.
• Submissions to peer reviewed internationally renowned oncology, epidemiology and public health journals
• Presentations at major cancer conferences including the World Conference on Lung Cancer, the American Association for Cancer Research Annual Meeting and the National Cancer Research Institute Annual Meeting
The outputs will not contain NHS England data and will only contain aggregated information with small numbers suppressed as appropriate in line with the relevant disclosure rules for the dataset(s) from which the information was derived.
1. How will the outputs be disseminated or otherwise communicated to relevant recipients?
• The outputs will be communicated to relevant recipients through the following dissemination channels: Journals
• Workshops involving the wider scientific community (as part of conferences)
• Webinars open to members of the University of Liverpool
• Social media (through University and funding body press offices)
• Public reports (e.g. of funding bodies)
• Direct bilateral engagement with research sponsors (e.g. the Roy Castle Lung Cancer Foundation), charitable donors to supporting charities (including participants and family members), interested members of the public, during the course of open days or laboratory visits.
• Co-hosted events, including laboratory tours and charity functions
• Public events, e.g. University public engagement events, open days or laboratory tours
• Posters displayed at scientific conferences and subsequently within the University department
• Patient Information leaflets available at recruitment sites.
• Press/media engagement
• Public promotion of the research, via our own web-pages and those of supporting charities.
• Reports aimed at funding bodies
Outputs are produced and disseminated on an ongoing basis. Current plans include:
• Papers on genetic risk of lung cancer are currently submitted or in the process of being submitted as part of a multinational collaboration (5 papers published 2023).
• LLP risk score linked to a consumer classification for marketing, in order to investigate the best way to contact different risk groups; a publication is currently being prepared (2024).
• Plasma Tumour Markers with diagnostic potential have been tested in lung cancer cases and controls in order to determine their potential utility in early detection. A report to the funding body was prepared (mid 2023) and a paper is being submitted early 2024.
• An investigation of plasma protein markers of lung cancer risk has been performed, with a patent application submitted summer 2022. A paper was published July 2023, with accompanying press release. The results were presented as an invited speaker at an Olink user group meeting September 2023 and as a peer-reviewed poster at a CRUK meeting October 2023. Additional data for two other types of biomarker is available from the same samples, with a similar ranger of publications expected over the next 2 years.
• Press-releases will be used to inform the wider public of the journal articles when they are published and an update on our web-page made.
Expected measurable benefits
The findings of this research study are expected to contribute to evidence-based decision-making for policy-makers, local decision-makers such as doctors, and patients to inform best practice to improve the care, treatment and experience of health care users relevant to the subject matter of the study.
The data is used for the development of risk models and biomarkers for use nationally and internationally to identify individuals at high risk of developing lung cancer and to guide subsequent treatment.
The use of the data could:
• lead to the identification or improvement of treatments or interventions, or health and care system design to improve health and care outcomes or experience – for example, targeting screening to those most likely to benefit.
• advance understanding of the need for, or effectiveness of, preventative health and care measures for particular populations or conditions such as lung cancer and COPD.
• inform health services and programmes to improve equity of access, experience and outcomes.
• support knowledge creation or exploratory research (and the innovations and developments that might result from that exploratory work).
It is hoped that through publication of findings in appropriate media, the findings of this research will add to the body of evidence that is considered by the bodies, organisations and individual care practitioners charged with making policy decisions for or within the NHS or treatment decisions in relation to specific patients.
The risk model (output) is used as a tool to identify high risk individuals for lung cancer screening programmes.
The biomarkers will be used to potentially identify high risk individuals for earlier intervention. Other biomarkers could be used to provide prognostic information for treatment prediction.
Patients benefit from the detection of early-stage disease. Early detection of lung cancer and intervention has been proven to allow good opportunities for curative treatment.
To optimise the public benefits from the use of the data, major outputs (e.g. risk models / biomarkers) are publicised through journals but through press office at University of Liverpool and the Roy Castle Lung Cancer Foundation. The LLP is registered on the CRUK website and CRUK funded studies will be publicised through their press office.
Benefits reported so far
The Liverpool Lung Project has utilised data from NHS England to develop and validate the LLP risk model. This has been used in the UKLS lung cancer screening trial to identify a cohort of high risk individuals and half of these underwent low dose CT screening, identifying a number of lung cancer (notably the majority of which were early stage an underwent potentially curative surgery).
Similarly the risk model is being used in the Liverpool Healthy Lung Project to identify potential cancer patients in a community setting and has been adopted by similar regional trials and implementation projects. For example, the Liverpool Healthy Lung Check programme, utilised the LLP risk model to identify individuals for LDCT cancer detection. Having scanned 6826 high-risk patients (who would not otherwise have been referred for lung cancer diagnosis), 126 lung cancers were identified; notably most (67%) were early stage disease and suitable for surgery.
Of note, the NHS is funding a NHS Targeted Lung Health Check programme that will use the LLP risk score as part of identification of individuals for a low-dose CT lung cancer screen.
Other yielded benefits include a wide range of publications that have contributed to improved understanding of lung cancer and identified potential biomarkers. These outputs and benefits clearly address the primary aim and support the legitimate interest in utility of NHS England data.
The Liverpool Lung Project has contributed to over 160 research publication, including 30 since 2020.
As mentioned above, the area that has made the largest impact thus far is the LLP lung cancer risk score, used to identify those most likely to benefit from early detection (e.g. lung cancer screening): first published in 2008.
The LLP have now identified a lung cancer mortality reduction by low-dose CT screening in the UKLS lung cancer screening study that is of a similar magnitude as that seen for larger US and European studies and utilised the UKLS data in a meta-analysis of CT screening trials, demonstrating significant long-term gains in lung cancer mortality reduction. Furthermore, the lung cancer-related mortality was significantly better in the low-dose CT arm of UKLS than in the control arm. This was achieved in part by LLP's ability to identify those at greatest risk of lung cancer, using the LLP lung cancer risk score, with UKLS being the first randomised control trial to take this risk-based approach to recruitment.
Additional publications have provided insight into other aspects of lung cancer, e.g.:
Genetic risk - LLP contributed to major Genome Wide Association Studies (GWAS) that identified novel genetic variants contributing to an increased risk of lung cancer and more recently, the OncoArray project looking at genetic risk in the largest cross-cancer genetic analysis to date.
These genetic risk biomarkers provide insights into why cancer occurs more frequently in some individuals, potential targets for preventative medicine and may contribute to lung cancer risk prediction to identify individuals for screening.
DNA mutation - As part of the CURELUNG project and the Clinical Lung Cancer Genome Project, Next Generation Sequencing has revealed the mutational profiles of cancers collected as part of LLP and these have been used to help generate new histo-molecular classifications for different types of lung cancer. Mutations identified in these studies not only provide biological insight, but targets for novel personalised medicines.
Epigenetic Biomarkers - A panel of DNA methylation biomarkers has been shown to improve the accuracy lung cancer diagnosis based on bronchial lavage cytology.
A microRNA signature, detectable in small quantities of biopsy material can differentiate between tumour and normal tissue to help identify NSCLC.
A prognostic DNA methylation signature was identified for stage I Non-Small Cell Lung Cancer.
A study of lncRNA in lung cancer indicated frequent dysregulation in Non-small Cell Lung Cancer.
As well as providing specific insights into potential biomarkers for diagnosis, prognosis and targeted therapy, these publications contribute to the wider understanding of the lung cancer process and by comparison, the biology of cancer in general.
Further yielded benefits from LLP studies in 2025 included:
Assessing PD-L1 expression in non-small cell lung carcinoma: a prospective study of matched fine-needle aspirates, core biopsies, and resection specimens using alcohol and forming fixatives (Haragan J Pathol 2025, doi: 10.1002/2056-4538.70041)
External Validation of Plasma Glycosaminoglycans as Biomarkers to Improve Lung Cancer Risk Stratification (Davies CEBP 2025, doi: 10.1158/1055-9965.epi-24-1537)
A contribution towards better understanding or real world outcomes for patients with small cell lung cancer (Kahn JTO 2025, doi: 10.1016/j.jtho.2024.09.222 & 10.1016/j.jtho.2024.09.1286)
Assessment of the informative value of community-based indoor radon values in relation to lung cancer (Rosenberger, Cancer Medicine, 2025 doi: 10.1002/cam4.70126).
Further multinational studies on the genetic basis of lung cancer: Stratifying lung adenocarcinoma risk with multi-ancestry polygenic risk scores in East Asian never-smokers (Blechter JNCI 2025, doi: 10.1093/jnci/djaf272); Genome-wide association study of early-stage non-small cell lung cancer prognosis: a pooled analysis in the International Lung Cancer Consortium (Dong Carcinogenesis 2025, doi: 10.1093/carcin/bgaf031).
Datasets on the current version
Legal basis for provision: Health and Social Care Act 2012 - s261(5)(d); Health and Social Care Act 2012 – s261(2)(c); National Health Service Act 2006 - s251 - 'Control of patient information'.
| Dataset | Type of data | Sensitivity | Frequency | Confidential data |
|---|---|---|---|---|
| Cancer Registration Data | Identifiable | Sensitive | One-Off | Mixture of confidential data flow(s) with consent and flow(s) with support under section 251 NHS Act 2006 |
| Civil Registrations of Death | Identifiable | Sensitive | One-Off | Mixture of confidential data flow(s) with consent and flow(s) with support under section 251 NHS Act 2006 |
| Demographics | Identifiable | Sensitive | One-Off | Mixture of confidential data flow(s) with consent and flow(s) with support under section 251 NHS Act 2006 |
| Hospital Episode Statistics Accident and Emergency (HES A and E) | Identifiable | Sensitive | One-Off | Mixture of confidential data flow(s) with consent and flow(s) with support under section 251 NHS Act 2006 |
| Hospital Episode Statistics Admitted Patient Care (HES APC) | Identifiable | Non-Sensitive | One-Off | Mixture of confidential data flow(s) with consent and flow(s) with support under section 251 NHS Act 2006 |
| Hospital Episode Statistics Outpatients (HES OP) | Identifiable | Non-Sensitive | One-Off | Mixture of confidential data flow(s) with consent and flow(s) with support under section 251 NHS Act 2006 |
| MRIS - Cause of Death Report | Identifiable | Sensitive | One-Off | Mixture of confidential data flow(s) with consent and flow(s) with support under section 251 NHS Act 2006 |
| MRIS - Cohort Event Notification Report | Identifiable | Sensitive | One-Off | Mixture of confidential data flow(s) with consent and flow(s) with support under section 251 NHS Act 2006 |
| MRIS - Flagging Current Status Report | Identifiable | Sensitive | One-Off | Mixture of confidential data flow(s) with consent and flow(s) with support under section 251 NHS Act 2006 |
| NDRS Cancer registration (pre-1995) | Anonymised - ICO Code Compliant | Sensitive | One-Off | Mixture of confidential data flow(s) with consent and flow(s) with support under section 251 NHS Act 2006 |
| NDRS Cancer Registrations | Identifiable | Sensitive | One-Off | Mixture of confidential data flow(s) with consent and flow(s) with support under section 251 NHS Act 2006 |
| NDRS Somatic Molecular Dataset | Anonymised - ICO Code Compliant | Sensitive | One-Off | Mixture of confidential data flow(s) with consent and flow(s) with support under section 251 NHS Act 2006 |
Files released
Files released counts only files released externally by DARS. Access granted in NHS England's own systems, such as its Secure Data Environment, is not included.
Patient opt-outs were applied to all 29 files released under this agreement, across every version. About opt-outs
No files recorded as released under the current version. 29 were released under earlier versions, shown in the version history.
Version history
The register lists each renewal of this agreement as a separate row. This site has 6 versions — earlier versions existed before this site's records begin.
DARS-NIC-147982-J7KGV-v9.2 22 January 2026 to 4 May 2029
- Title
- The Roy Castle Lung Cancer Research Programme, Liverpool Lung Project - University of Liverpool
- Commercial
- Yes
- Sublicensing
- No
- Datasets
- 12
- Files released
- 0
Datasets: Cancer Registration Data; Civil Registrations of Death; Demographics; Hospital Episode Statistics Accident and Emergency (HES A and E); Hospital Episode Statistics Admitted Patient Care (HES APC); Hospital Episode Statistics Outpatients (HES OP); MRIS - Cause of Death Report; MRIS - Cohort Event Notification Report; MRIS - Flagging Current Status Report; NDRS Cancer registration (pre-1995); NDRS Cancer Registrations; NDRS Somatic Molecular Dataset
What changed from DARS-NIC-147982-J7KGV-v8.4
Text removed is struck through; text added is underlined. Unchanged paragraphs are summarised rather than repeated.
| Field | Was | Became |
|---|---|---|
| Start date | 2026-01-22 | |
| End date | 2029-05-04 |
Benefits reported
[16 paragraphs unchanged] Further yielded benefits from LLP studies in 2025 included: Assessing PD-L1 expression in non-small cell lung carcinoma: a prospective study of matched fine-needle aspirates, core biopsies, and resection specimens using alcohol and forming fixatives (Haragan J Pathol 2025, doi: 10.1002/2056-4538.70041) External Validation of Plasma Glycosaminoglycans as Biomarkers to Improve Lung Cancer Risk Stratification (Davies CEBP 2025, doi: 10.1158/1055-9965.epi-24-1537) A contribution towards better understanding or real world outcomes for patients with small cell lung cancer (Kahn JTO 2025, doi: 10.1016/j.jtho.2024.09.222 & 10.1016/j.jtho.2024.09.1286) Assessment of the informative value of community-based indoor radon values in relation to lung cancer (Rosenberger, Cancer Medicine, 2025 doi: 10.1002/cam4.70126). Further multinational studies on the genetic basis of lung cancer: Stratifying lung adenocarcinoma risk with multi-ancestry polygenic risk scores in East Asian never-smokers (Blechter JNCI 2025, doi: 10.1093/jnci/djaf272); Genome-wide association study of early-stage non-small cell lung cancer prognosis: a pooled analysis in the International Lung Cancer Consortium (Dong Carcinogenesis 2025, doi: 10.1093/carcin/bgaf031).
Unchanged: Objective for processing, Processing activities, Expected output, Expected measurable benefits.
DARS-NIC-147982-J7KGV-v8.4 5 May 2025 to 4 May 2026
- Title
- The Roy Castle Lung Cancer Research Programme, Liverpool Lung Project - University of Liverpool
- Commercial
- Yes
- Sublicensing
- No
- Datasets
- 12
- Files released
- 8
Datasets: Cancer Registration Data; Civil Registrations of Death; Demographics; Hospital Episode Statistics Accident and Emergency (HES A and E); Hospital Episode Statistics Admitted Patient Care (HES APC); Hospital Episode Statistics Outpatients (HES OP); MRIS - Cause of Death Report; MRIS - Cohort Event Notification Report; MRIS - Flagging Current Status Report; NDRS Cancer registration (pre-1995); NDRS Cancer Registrations; NDRS Somatic Molecular Dataset
What changed from DARS-NIC-147982-J7KGV-v7.2
Text removed is struck through; text added is underlined. Unchanged paragraphs are summarised rather than repeated.
| Field | Was | Became |
|---|---|---|
| Start date | 2025-05-05 | |
| End date | 2026-05-04 |
Datasets: + NDRS Cancer Registrations; + NDRS Cancer registration (pre-1995); + NDRS Somatic Molecular Dataset
Objective for processing
[3 paragraphs unchanged]
"The
The
Liverpool Lung Project (LLP) has been active since 1997 with participants providing
[23 words unchanged]
between different lung cancers, to identify opportunities for improving diagnosis or treatment.
"The
The
LLP is one of the largest prospective lung cancer case-control and population cohort studies in Europe.
"The
The
primary objective of the LLP is to create risk models for lung
[166 words unchanged]
the Principal Investigator, statistical advisor and peer reviewers, and ethical opinion is
obtained."
obtained.
A newer aim is to facilitate the development of Multi-Cancer Early Detection (MCED) tests, including lung cancer, and additionally to provide valuable pre-diagnostic samples collected as part of LLP to researchers studying other diseases.
[6 paragraphs unchanged]
• NDRS Cancer Registration and NDRS Cancer Registration (pre-1995) (added 2024 as unavailable previously through DARS) – providing greater depth of data for cancer diagnosis (e.g. stage and basis of diagnosis), which are highly relevant to studies of early diagnosis, and treatment, which is especially important of analysis of disease outcome.
• NDRS Somatic Molecular Testing (added 2024 as unavailable previously through DARS) – provides definition to the subtype of cancer and how it's related to treatment and therefore outcome analysis.
[2 paragraphs unchanged]
Furthermore, the amendment also clarifies that "gold standard" extended, collated cancer registration data, provided by the National Disease Registration Service (NDRS) and including cancer stage, is also covered, for all cancers. Data on stage at diagnosis is fundamental to early detection and improved diagnosis research.
[9 paragraphs unchanged]
Article 6(1)(e) - processing is necessary for the performance of a task carried out in the public interest or in the exercise of official
authority vested in the controller;
authority vested in the controller;
[3 paragraphs unchanged]
The funding is provided by multiple organisations (research charities and government agencies,
[49 words unchanged]
with research partners, some of which are from commercial organisations (e.g. Biotech
of
or
Pharmaceutical
companies)
companies: https://liverpoollungproject.org.uk/commercial-collaborations/)
and those organisations may provide grants to fund University staff or cover costs associated with provision of samples for joint analysis and publication.
[2 paragraphs unchanged]
Where individuals have opted out of disease registration by the National Disease Registration Service (NDRS), their data has been permanently removed from the registry and therefore will not be disseminated under this Data Sharing Agreement (DSA). https://digital.nhs.uk/ndrs/patients/opting-out
Processing activities
[1 paragraph unchanged]
NHS England data will provide the relevant records from the
demographics, cancer registration
Demographics, Civil Registration Mortality
and
civil registration mortality
NDRS Cancer Registration
datasets to the University of Liverpool. The data will:
[1 paragraph unchanged]
Since 2007 and under previous versions of this Agreement, NHS England or
[14 words unchanged]
registrations, exits from or re-entries to the NHS and Hospital Episode Statistics.
As it has now become available from DARS in 2024 LLP are also requesting data from the NDRS datasets; LLP already collect this type of data from case note review, so it is covered by the current Ethics approval.
[23 paragraphs unchanged]
Unchanged: Expected output, Expected measurable benefits, Benefits reported.
Objective for processing
The University of Liverpool requires access to NHS England data for the purpose of the following research project:
The Roy Castle Lung Cancer Research Programme’s Liverpool Lung Project (LLP)
The following is a summary of the aims of the research programme provided by the University of Liverpool:
The Liverpool Lung Project (LLP) has been active since 1997 with participants providing informed consent to their involvement. This observational study investigates differences between those diagnosed with lung cancer and control subjects without lung cancer, or between different lung cancers, to identify opportunities for improving diagnosis or treatment.
The LLP is one of the largest prospective lung cancer case-control and population cohort studies in Europe.
The primary objective of the LLP is to create risk models for lung cancer and identify risk models or “biomarkers” that inform the risk of lung cancer, provide opportunities for early diagnosis, or give information on disease prognosis. The LLP achieves those objectives through a rolling portfolio of projects which are devised in response to publications and developments in science. It is an evolving process as knowledge and research practices develop (e.g. the integration of new analytical methodologies). The research agenda is ultimately determined by the Chief Investigator in conjunction with collaborative researchers at the University of Liverpool. All projects (under the LLP) are interrelated and within the overarching scope of the LLP. Projects require funding and funding applications typically take between 3 and 6 months. Funding for a project is typically for between 1 and 5 years. New ideas for projects within the LLP arise on a constant basis but the process to lead an idea to a funding grant application typically takes 6 months. As part of that process, proposals are referred to a review group including the Principal Investigator, statistical advisor and peer reviewers, and ethical opinion is obtained.
A newer aim is to facilitate the development of Multi-Cancer Early Detection (MCED) tests, including lung cancer, and additionally to provide valuable pre-diagnostic samples collected as part of LLP to researchers studying other diseases.
The following NHS England data will be accessed:
• Hospital Episode Statistics Admitted Patient Care and Outpatients – necessary to provide more detail of cancer diagnostic pathways and treatment, which have a bearing on outcome measures and inform research on potential changes to care pathways influenced by the risk models being researched, and to provide information on co-morbidities (illness arising alongside lung cancer) and predisposing illness (e.g. respiratory diseases that has shown contribute to lung cancer risk) which informs both risk model and allows the LLP to correct outcome measures for confounding factors
• Hospital Episode Statistics for Accident & Emergency were initially obtained, as it is known many lung cancers are diagnosed in this setting, and linked to the epidemiology data already gathered from participants through detailed questionnaires obtained upon recruitment into the study and from their medical notes.;
• Civil Registration Mortality – necessary to identify both lung cancer incidence (within causes of death) and the time from recruitment or treatment until death (all-cause mortality and lung cancer-specific mortality, important measures of health status and outcome);
• Cancer Registration – necessary to identify lung cancer incidence and provide additional information on timing and specific diagnosis of lung cancers (a primary outcome measure of the study) and other cancers (which may be significant confounding factors that must be taken into account during analysis);
• Demographics – necessary to inform the current status of participants (alive, dead or lost to follow-up)
• NDRS Cancer Registration and NDRS Cancer Registration (pre-1995) (added 2024 as unavailable previously through DARS) – providing greater depth of data for cancer diagnosis (e.g. stage and basis of diagnosis), which are highly relevant to studies of early diagnosis, and treatment, which is especially important of analysis of disease outcome.
• NDRS Somatic Molecular Testing (added 2024 as unavailable previously through DARS) – provides definition to the subtype of cancer and how it's related to treatment and therefore outcome analysis.
The LLP are no longer requesting HES data relating to emergency care, as all subsequent diagnosis and treatment data will be within the inpatient and outpatient care, and/or included in Cancer Registration and Civil Registration Mortality data.
Following a substantial ethics amendment (Number 56 approved June 2023), use of cancer data for LLP participants now includes research for multi-cancer early detection; consent was already in place for use of data for other diseases and basic cancer registration and mortality data is already provided. However, this amendment explicitly states the objective of using the data with the aim of identifying biomarkers for multiple different types of cancer (rather than just for lung cancer).
Furthermore, the amendment also clarifies that "gold standard" extended, collated cancer registration data, provided by the National Disease Registration Service (NDRS) and including cancer stage, is also covered, for all cancers. Data on stage at diagnosis is fundamental to early detection and improved diagnosis research.
The level of the data will be:
• Identifiable – necessary to enable linkage of the data with data collected from other sources, including the participants themselves.
Data returned is subsequently linked only via the Member Number (LLP Master Patient Index), as a pseudonymisation key.
The data will be minimised as follows:
• Limited to data for a study cohort of 14,683 participants recruited by the LLP.
Participants were recruited in one of two ways, as a population cohort, or as a hospital cohort. Between 1996 and 2009, the LLP approached over 100,000 people in certain age groups living in certain postcode areas where it was known people were at the highest risk of developing lung cancer and those people were invited to consent to participate. Similar high-risk groups were recruited in the primary care setting from 2005 until 2015. Additionally, the LLP recruited individuals in hospital settings who had been referred with suspected lung cancer or were being treated for lung cancer. Recruitment to the first subset ended in 2015 but recruitment of cancer patients and suspected cancer patients to the ‘case-control’ subset continued.
All 14,683 participants consented to allow access to their medical records. For 11,028, consent also allowed the sharing of their identifying details with NHS England to facilitate data linkage and access. For 3,655, support under Section 251 NHS Act 2006 provides the legal gateway for sharing their identifiers with NHS England.
The University of Liverpool is the data controller as the organisation responsible for ensuring that the data will only be processed for the purpose described above.
The lawful basis for processing personal data under the UK GDPR is:
Article 6(1)(e) - processing is necessary for the performance of a task carried out in the public interest or in the exercise of official authority vested in the controller;
The lawful basis for processing special category data under the UK GDPR is:
Article 9(2)(j) - processing is necessary for archiving purposes in the public interest, scientific or historical research purposes or statistical purposes in accordance with Article 89(1) based on Union or Member State law which shall be proportionate to the aim pursued, respect the essence of the right to data protection and provide for suitable and specific measures to safeguard the fundamental rights and the interests of the data subject.
This processing is in the public interest because it adheres to the UK Policy Framework for Health and Social Care Research and aims to improve understanding of disease and opportunities for improved treatment resulting in lives saved and improved health.
The funding is provided by multiple organisations (research charities and government agencies, including international bodies). Their role is to provide funding for the research to the University of Liverpool (and collaborating research centres); they also support and encourage adherence to the highest standards of governance, public dissemination of results and scientific rigour. Research staff at the University take part in collaborations with research partners, some of which are from commercial organisations (e.g. Biotech or Pharmaceutical companies: https://liverpoollungproject.org.uk/commercial-collaborations/) and those organisations may provide grants to fund University staff or cover costs associated with provision of samples for joint analysis and publication.
Individuals from the Liverpool Heart & Chest Hospital, Clatterbridge Cancer Centre and Aintree University Hospitals NHS Foundation Trust are core collaborators in the LLP. Their roles are limited to providing additional data and information to the LLP during recruitment or from case note review. If the data collected provide under this Agreement indicates something of note, the University of Liverpool may request the appropriate clinical partner to undertake additional case review. A collaborator from the Wolfson Institute of Preventive Medicine acts in an advisory role on statistical modelling, but does not require access to the primary confidential patient information under this Agreement to do this. None of those individuals have access to the data under this Agreement.
Public and Patient Engagement for the LLP included representation during study design (contributing to the ethically approved protocol) including consideration of patient confidentiality. Ongoing engagement includes representation on local research groups and funding bodies.
Where individuals have opted out of disease registration by the National Disease Registration Service (NDRS), their data has been permanently removed from the registry and therefore will not be disseminated under this Data Sharing Agreement (DSA). https://digital.nhs.uk/ndrs/patients/opting-out
Expected output
The expected outputs of the processing will be:
• Reports for grant awarding bodies will be produced. This will include reports in support of additional funding applications for further analysis, ensuring maximum utility and benefit from the data provided.
• Submissions to peer reviewed internationally renowned oncology, epidemiology and public health journals
• Presentations at major cancer conferences including the World Conference on Lung Cancer, the American Association for Cancer Research Annual Meeting and the National Cancer Research Institute Annual Meeting
The outputs will not contain NHS England data and will only contain aggregated information with small numbers suppressed as appropriate in line with the relevant disclosure rules for the dataset(s) from which the information was derived.
1. How will the outputs be disseminated or otherwise communicated to relevant recipients?
• The outputs will be communicated to relevant recipients through the following dissemination channels: Journals
• Workshops involving the wider scientific community (as part of conferences)
• Webinars open to members of the University of Liverpool
• Social media (through University and funding body press offices)
• Public reports (e.g. of funding bodies)
• Direct bilateral engagement with research sponsors (e.g. the Roy Castle Lung Cancer Foundation), charitable donors to supporting charities (including participants and family members), interested members of the public, during the course of open days or laboratory visits.
• Co-hosted events, including laboratory tours and charity functions
• Public events, e.g. University public engagement events, open days or laboratory tours
• Posters displayed at scientific conferences and subsequently within the University department
• Patient Information leaflets available at recruitment sites.
• Press/media engagement
• Public promotion of the research, via our own web-pages and those of supporting charities.
• Reports aimed at funding bodies
Outputs are produced and disseminated on an ongoing basis. Current plans include:
• Papers on genetic risk of lung cancer are currently submitted or in the process of being submitted as part of a multinational collaboration (5 papers published 2023).
• LLP risk score linked to a consumer classification for marketing, in order to investigate the best way to contact different risk groups; a publication is currently being prepared (2024).
• Plasma Tumour Markers with diagnostic potential have been tested in lung cancer cases and controls in order to determine their potential utility in early detection. A report to the funding body was prepared (mid 2023) and a paper is being submitted early 2024.
• An investigation of plasma protein markers of lung cancer risk has been performed, with a patent application submitted summer 2022. A paper was published July 2023, with accompanying press release. The results were presented as an invited speaker at an Olink user group meeting September 2023 and as a peer-reviewed poster at a CRUK meeting October 2023. Additional data for two other types of biomarker is available from the same samples, with a similar ranger of publications expected over the next 2 years.
• Press-releases will be used to inform the wider public of the journal articles when they are published and an update on our web-page made.
Benefits reported
The Liverpool Lung Project has utilised data from NHS England to develop and validate the LLP risk model. This has been used in the UKLS lung cancer screening trial to identify a cohort of high risk individuals and half of these underwent low dose CT screening, identifying a number of lung cancer (notably the majority of which were early stage an underwent potentially curative surgery).
Similarly the risk model is being used in the Liverpool Healthy Lung Project to identify potential cancer patients in a community setting and has been adopted by similar regional trials and implementation projects. For example, the Liverpool Healthy Lung Check programme, utilised the LLP risk model to identify individuals for LDCT cancer detection. Having scanned 6826 high-risk patients (who would not otherwise have been referred for lung cancer diagnosis), 126 lung cancers were identified; notably most (67%) were early stage disease and suitable for surgery.
Of note, the NHS is funding a NHS Targeted Lung Health Check programme that will use the LLP risk score as part of identification of individuals for a low-dose CT lung cancer screen.
Other yielded benefits include a wide range of publications that have contributed to improved understanding of lung cancer and identified potential biomarkers. These outputs and benefits clearly address the primary aim and support the legitimate interest in utility of NHS England data.
The Liverpool Lung Project has contributed to over 160 research publication, including 30 since 2020.
As mentioned above, the area that has made the largest impact thus far is the LLP lung cancer risk score, used to identify those most likely to benefit from early detection (e.g. lung cancer screening): first published in 2008.
The LLP have now identified a lung cancer mortality reduction by low-dose CT screening in the UKLS lung cancer screening study that is of a similar magnitude as that seen for larger US and European studies and utilised the UKLS data in a meta-analysis of CT screening trials, demonstrating significant long-term gains in lung cancer mortality reduction. Furthermore, the lung cancer-related mortality was significantly better in the low-dose CT arm of UKLS than in the control arm. This was achieved in part by LLP's ability to identify those at greatest risk of lung cancer, using the LLP lung cancer risk score, with UKLS being the first randomised control trial to take this risk-based approach to recruitment.
Additional publications have provided insight into other aspects of lung cancer, e.g.:
Genetic risk - LLP contributed to major Genome Wide Association Studies (GWAS) that identified novel genetic variants contributing to an increased risk of lung cancer and more recently, the OncoArray project looking at genetic risk in the largest cross-cancer genetic analysis to date.
These genetic risk biomarkers provide insights into why cancer occurs more frequently in some individuals, potential targets for preventative medicine and may contribute to lung cancer risk prediction to identify individuals for screening.
DNA mutation - As part of the CURELUNG project and the Clinical Lung Cancer Genome Project, Next Generation Sequencing has revealed the mutational profiles of cancers collected as part of LLP and these have been used to help generate new histo-molecular classifications for different types of lung cancer. Mutations identified in these studies not only provide biological insight, but targets for novel personalised medicines.
Epigenetic Biomarkers - A panel of DNA methylation biomarkers has been shown to improve the accuracy lung cancer diagnosis based on bronchial lavage cytology.
A microRNA signature, detectable in small quantities of biopsy material can differentiate between tumour and normal tissue to help identify NSCLC.
A prognostic DNA methylation signature was identified for stage I Non-Small Cell Lung Cancer.
A study of lncRNA in lung cancer indicated frequent dysregulation in Non-small Cell Lung Cancer.
As well as providing specific insights into potential biomarkers for diagnosis, prognosis and targeted therapy, these publications contribute to the wider understanding of the lung cancer process and by comparison, the biology of cancer in general.
DARS-NIC-147982-J7KGV-v7.2 17 June 2024 to 16 June 2025
- Title
- The Roy Castle Lung Cancer Research Programme, Liverpool Lung Project - University of Liverpool
- Commercial
- Yes
- Sublicensing
- No
- Datasets
- 9
- Files released
- 0
Datasets: Cancer Registration Data; Civil Registrations of Death; Demographics; Hospital Episode Statistics Accident and Emergency (HES A and E); Hospital Episode Statistics Admitted Patient Care (HES APC); Hospital Episode Statistics Outpatients (HES OP); MRIS - Cause of Death Report; MRIS - Cohort Event Notification Report; MRIS - Flagging Current Status Report
What changed from DARS-NIC-147982-J7KGV-v6.13
Text removed is struck through; text added is underlined. Unchanged paragraphs are summarised rather than repeated.
| Field | Was | Became |
|---|---|---|
| Start date | 2024-06-17 | |
| End date | 2025-06-16 |
Objective for processing
[13 paragraphs unchanged] Following a substantial ethics amendment (Number 56 approved June 2023), use of cancer data for LLP participants now includes research for multi-cancer early detection; consent was already in place for use of data for other diseases and basic cancer registration and mortality data is already provided. However, this amendment explicitly states the objective of using the data with the aim of identifying biomarkers for multiple different types of cancer (rather than just for lung cancer). [17 paragraphs unchanged]
Processing activities
[6 paragraphs unchanged]
1. Confirm where the data will be accessed.
[21 paragraphs unchanged]
Expected output
[20 paragraphs unchanged]
• Papers on genetic risk of lung cancer are currently submitted or in the process of being submitted as part of a multinational collaboration
(multiple, ongoing throughout
(5 papers published
2023).
• A paper on the relationship between lung cancer risk and radon exposure and will be submitted early 2023.
• LLP risk score linked to a consumer classification for marketing, in order to investigate the best way to contact different risk groups; a publication is currently being prepared (2024).
• LLP risk score linked to a consumer classification for marketing, in order to investigate the best way to contact different risk groups; a publication is currently being prepared (2023).
• Plasma Tumour Markers with diagnostic potential have been tested in lung cancer cases and controls in order to determine their potential utility in early detection. A report to the funding body was prepared (mid 2023) and a paper is being submitted early 2024.
• Plasma Tumour Markers with diagnostic potential have been tested in lung cancer cases and controls in order to determine their potential utility in early detection. A report to the funding body will be prepared (spring 2023) prior to potential presentation at suitable research conference (mid 2023) and submission for peer-reviewed publication (mid 2023).
• An investigation of plasma protein markers of lung cancer risk has been performed, with a patent application submitted summer 2022. A paper was published July 2023, with accompanying press release. The results were presented as an invited speaker at an Olink user group meeting September 2023 and as a peer-reviewed poster at a CRUK meeting October 2023. Additional data for two other types of biomarker is available from the same samples, with a similar ranger of publications expected over the next 2 years.
• An investigation of plasma protein markers of lung cancer risk has been performed, with a patent application submitted summer 2022. A paper for a peer reviewed journal is in preparation (for submission early 2023). Conference presentation and press-release are likely to follow the journal publication (2023).
• Press-releases will be used to inform the wider public of the journal articles when they are published and an update on our web-page made.
• Further, similar outputs are planned for other aspects of the same risk biomarker project (2023 onwards).
A press-release will be used to inform the wider public of the journal articles when they are published and an update on our web-page made at the same time.
Benefits reported
[4 paragraphs unchanged]
The Liverpool Lung Project has contributed to over 160 research publication, including
40
30
since
2019.
2020.
[11 paragraphs unchanged]
Unchanged: Expected measurable benefits.
Objective for processing
The University of Liverpool requires access to NHS England data for the purpose of the following research project:
The Roy Castle Lung Cancer Research Programme’s Liverpool Lung Project (LLP)
The following is a summary of the aims of the research programme provided by the University of Liverpool:
"The Liverpool Lung Project (LLP) has been active since 1997 with participants providing informed consent to their involvement. This observational study investigates differences between those diagnosed with lung cancer and control subjects without lung cancer, or between different lung cancers, to identify opportunities for improving diagnosis or treatment.
"The LLP is one of the largest prospective lung cancer case-control and population cohort studies in Europe.
"The primary objective of the LLP is to create risk models for lung cancer and identify risk models or “biomarkers” that inform the risk of lung cancer, provide opportunities for early diagnosis, or give information on disease prognosis. The LLP achieves those objectives through a rolling portfolio of projects which are devised in response to publications and developments in science. It is an evolving process as knowledge and research practices develop (e.g. the integration of new analytical methodologies). The research agenda is ultimately determined by the Chief Investigator in conjunction with collaborative researchers at the University of Liverpool. All projects (under the LLP) are interrelated and within the overarching scope of the LLP. Projects require funding and funding applications typically take between 3 and 6 months. Funding for a project is typically for between 1 and 5 years. New ideas for projects within the LLP arise on a constant basis but the process to lead an idea to a funding grant application typically takes 6 months. As part of that process, proposals are referred to a review group including the Principal Investigator, statistical advisor and peer reviewers, and ethical opinion is obtained."
The following NHS England data will be accessed:
• Hospital Episode Statistics Admitted Patient Care and Outpatients – necessary to provide more detail of cancer diagnostic pathways and treatment, which have a bearing on outcome measures and inform research on potential changes to care pathways influenced by the risk models being researched, and to provide information on co-morbidities (illness arising alongside lung cancer) and predisposing illness (e.g. respiratory diseases that has shown contribute to lung cancer risk) which informs both risk model and allows the LLP to correct outcome measures for confounding factors
• Hospital Episode Statistics for Accident & Emergency were initially obtained, as it is known many lung cancers are diagnosed in this setting, and linked to the epidemiology data already gathered from participants through detailed questionnaires obtained upon recruitment into the study and from their medical notes.;
• Civil Registration Mortality – necessary to identify both lung cancer incidence (within causes of death) and the time from recruitment or treatment until death (all-cause mortality and lung cancer-specific mortality, important measures of health status and outcome);
• Cancer Registration – necessary to identify lung cancer incidence and provide additional information on timing and specific diagnosis of lung cancers (a primary outcome measure of the study) and other cancers (which may be significant confounding factors that must be taken into account during analysis);
• Demographics – necessary to inform the current status of participants (alive, dead or lost to follow-up)
The LLP are no longer requesting HES data relating to emergency care, as all subsequent diagnosis and treatment data will be within the inpatient and outpatient care, and/or included in Cancer Registration and Civil Registration Mortality data.
Following a substantial ethics amendment (Number 56 approved June 2023), use of cancer data for LLP participants now includes research for multi-cancer early detection; consent was already in place for use of data for other diseases and basic cancer registration and mortality data is already provided. However, this amendment explicitly states the objective of using the data with the aim of identifying biomarkers for multiple different types of cancer (rather than just for lung cancer).
The level of the data will be:
• Identifiable – necessary to enable linkage of the data with data collected from other sources, including the participants themselves.
Data returned is subsequently linked only via the Member Number (LLP Master Patient Index), as a pseudonymisation key.
The data will be minimised as follows:
• Limited to data for a study cohort of 14,683 participants recruited by the LLP.
Participants were recruited in one of two ways, as a population cohort, or as a hospital cohort. Between 1996 and 2009, the LLP approached over 100,000 people in certain age groups living in certain postcode areas where it was known people were at the highest risk of developing lung cancer and those people were invited to consent to participate. Similar high-risk groups were recruited in the primary care setting from 2005 until 2015. Additionally, the LLP recruited individuals in hospital settings who had been referred with suspected lung cancer or were being treated for lung cancer. Recruitment to the first subset ended in 2015 but recruitment of cancer patients and suspected cancer patients to the ‘case-control’ subset continued.
All 14,683 participants consented to allow access to their medical records. For 11,028, consent also allowed the sharing of their identifying details with NHS England to facilitate data linkage and access. For 3,655, support under Section 251 NHS Act 2006 provides the legal gateway for sharing their identifiers with NHS England.
The University of Liverpool is the data controller as the organisation responsible for ensuring that the data will only be processed for the purpose described above.
The lawful basis for processing personal data under the UK GDPR is:
Article 6(1)(e) - processing is necessary for the performance of a task carried out in the public interest or in the exercise of official
authority vested in the controller;
The lawful basis for processing special category data under the UK GDPR is:
Article 9(2)(j) - processing is necessary for archiving purposes in the public interest, scientific or historical research purposes or statistical purposes in accordance with Article 89(1) based on Union or Member State law which shall be proportionate to the aim pursued, respect the essence of the right to data protection and provide for suitable and specific measures to safeguard the fundamental rights and the interests of the data subject.
This processing is in the public interest because it adheres to the UK Policy Framework for Health and Social Care Research and aims to improve understanding of disease and opportunities for improved treatment resulting in lives saved and improved health.
The funding is provided by multiple organisations (research charities and government agencies, including international bodies). Their role is to provide funding for the research to the University of Liverpool (and collaborating research centres); they also support and encourage adherence to the highest standards of governance, public dissemination of results and scientific rigour. Research staff at the University take part in collaborations with research partners, some of which are from commercial organisations (e.g. Biotech of Pharmaceutical companies) and those organisations may provide grants to fund University staff or cover costs associated with provision of samples for joint analysis and publication.
Individuals from the Liverpool Heart & Chest Hospital, Clatterbridge Cancer Centre and Aintree University Hospitals NHS Foundation Trust are core collaborators in the LLP. Their roles are limited to providing additional data and information to the LLP during recruitment or from case note review. If the data collected provide under this Agreement indicates something of note, the University of Liverpool may request the appropriate clinical partner to undertake additional case review. A collaborator from the Wolfson Institute of Preventive Medicine acts in an advisory role on statistical modelling, but does not require access to the primary confidential patient information under this Agreement to do this. None of those individuals have access to the data under this Agreement.
Public and Patient Engagement for the LLP included representation during study design (contributing to the ethically approved protocol) including consideration of patient confidentiality. Ongoing engagement includes representation on local research groups and funding bodies.
Expected output
The expected outputs of the processing will be:
• Reports for grant awarding bodies will be produced. This will include reports in support of additional funding applications for further analysis, ensuring maximum utility and benefit from the data provided.
• Submissions to peer reviewed internationally renowned oncology, epidemiology and public health journals
• Presentations at major cancer conferences including the World Conference on Lung Cancer, the American Association for Cancer Research Annual Meeting and the National Cancer Research Institute Annual Meeting
The outputs will not contain NHS England data and will only contain aggregated information with small numbers suppressed as appropriate in line with the relevant disclosure rules for the dataset(s) from which the information was derived.
1. How will the outputs be disseminated or otherwise communicated to relevant recipients?
• The outputs will be communicated to relevant recipients through the following dissemination channels: Journals
• Workshops involving the wider scientific community (as part of conferences)
• Webinars open to members of the University of Liverpool
• Social media (through University and funding body press offices)
• Public reports (e.g. of funding bodies)
• Direct bilateral engagement with research sponsors (e.g. the Roy Castle Lung Cancer Foundation), charitable donors to supporting charities (including participants and family members), interested members of the public, during the course of open days or laboratory visits.
• Co-hosted events, including laboratory tours and charity functions
• Public events, e.g. University public engagement events, open days or laboratory tours
• Posters displayed at scientific conferences and subsequently within the University department
• Patient Information leaflets available at recruitment sites.
• Press/media engagement
• Public promotion of the research, via our own web-pages and those of supporting charities.
• Reports aimed at funding bodies
Outputs are produced and disseminated on an ongoing basis. Current plans include:
• Papers on genetic risk of lung cancer are currently submitted or in the process of being submitted as part of a multinational collaboration (5 papers published 2023).
• LLP risk score linked to a consumer classification for marketing, in order to investigate the best way to contact different risk groups; a publication is currently being prepared (2024).
• Plasma Tumour Markers with diagnostic potential have been tested in lung cancer cases and controls in order to determine their potential utility in early detection. A report to the funding body was prepared (mid 2023) and a paper is being submitted early 2024.
• An investigation of plasma protein markers of lung cancer risk has been performed, with a patent application submitted summer 2022. A paper was published July 2023, with accompanying press release. The results were presented as an invited speaker at an Olink user group meeting September 2023 and as a peer-reviewed poster at a CRUK meeting October 2023. Additional data for two other types of biomarker is available from the same samples, with a similar ranger of publications expected over the next 2 years.
• Press-releases will be used to inform the wider public of the journal articles when they are published and an update on our web-page made.
Benefits reported
The Liverpool Lung Project has utilised data from NHS England to develop and validate the LLP risk model. This has been used in the UKLS lung cancer screening trial to identify a cohort of high risk individuals and half of these underwent low dose CT screening, identifying a number of lung cancer (notably the majority of which were early stage an underwent potentially curative surgery).
Similarly the risk model is being used in the Liverpool Healthy Lung Project to identify potential cancer patients in a community setting and has been adopted by similar regional trials and implementation projects. For example, the Liverpool Healthy Lung Check programme, utilised the LLP risk model to identify individuals for LDCT cancer detection. Having scanned 6826 high-risk patients (who would not otherwise have been referred for lung cancer diagnosis), 126 lung cancers were identified; notably most (67%) were early stage disease and suitable for surgery.
Of note, the NHS is funding a NHS Targeted Lung Health Check programme that will use the LLP risk score as part of identification of individuals for a low-dose CT lung cancer screen.
Other yielded benefits include a wide range of publications that have contributed to improved understanding of lung cancer and identified potential biomarkers. These outputs and benefits clearly address the primary aim and support the legitimate interest in utility of NHS England data.
The Liverpool Lung Project has contributed to over 160 research publication, including 30 since 2020.
As mentioned above, the area that has made the largest impact thus far is the LLP lung cancer risk score, used to identify those most likely to benefit from early detection (e.g. lung cancer screening): first published in 2008.
The LLP have now identified a lung cancer mortality reduction by low-dose CT screening in the UKLS lung cancer screening study that is of a similar magnitude as that seen for larger US and European studies and utilised the UKLS data in a meta-analysis of CT screening trials, demonstrating significant long-term gains in lung cancer mortality reduction. Furthermore, the lung cancer-related mortality was significantly better in the low-dose CT arm of UKLS than in the control arm. This was achieved in part by LLP's ability to identify those at greatest risk of lung cancer, using the LLP lung cancer risk score, with UKLS being the first randomised control trial to take this risk-based approach to recruitment.
Additional publications have provided insight into other aspects of lung cancer, e.g.:
Genetic risk - LLP contributed to major Genome Wide Association Studies (GWAS) that identified novel genetic variants contributing to an increased risk of lung cancer and more recently, the OncoArray project looking at genetic risk in the largest cross-cancer genetic analysis to date.
These genetic risk biomarkers provide insights into why cancer occurs more frequently in some individuals, potential targets for preventative medicine and may contribute to lung cancer risk prediction to identify individuals for screening.
DNA mutation - As part of the CURELUNG project and the Clinical Lung Cancer Genome Project, Next Generation Sequencing has revealed the mutational profiles of cancers collected as part of LLP and these have been used to help generate new histo-molecular classifications for different types of lung cancer. Mutations identified in these studies not only provide biological insight, but targets for novel personalised medicines.
Epigenetic Biomarkers - A panel of DNA methylation biomarkers has been shown to improve the accuracy lung cancer diagnosis based on bronchial lavage cytology.
A microRNA signature, detectable in small quantities of biopsy material can differentiate between tumour and normal tissue to help identify NSCLC.
A prognostic DNA methylation signature was identified for stage I Non-Small Cell Lung Cancer.
A study of lncRNA in lung cancer indicated frequent dysregulation in Non-small Cell Lung Cancer.
As well as providing specific insights into potential biomarkers for diagnosis, prognosis and targeted therapy, these publications contribute to the wider understanding of the lung cancer process and by comparison, the biology of cancer in general.
DARS-NIC-147982-J7KGV-v6.13 10 April 2023 to 9 April 2024
- Title
- The Roy Castle Lung Cancer Research Programme, Liverpool Lung Project - University of Liverpool
- Commercial
- Yes
- Sublicensing
- No
- Datasets
- 9
- Files released
- 6
Datasets: Cancer Registration Data; Civil Registrations of Death; Demographics; Hospital Episode Statistics Accident and Emergency (HES A and E); Hospital Episode Statistics Admitted Patient Care (HES APC); Hospital Episode Statistics Outpatients (HES OP); MRIS - Cause of Death Report; MRIS - Cohort Event Notification Report; MRIS - Flagging Current Status Report
What changed from DARS-NIC-147982-J7KGV-v5.5
Text removed is struck through; text added is underlined. Unchanged paragraphs are summarised rather than repeated.
| Field | Was | Became |
|---|---|---|
| Title | The Roy Castle Lung Cancer Research Programme, Liverpool Lung Project - University of Liverpool | |
| Start date | 2023-04-10 | |
| End date | 2024-04-09 | |
| Cancer Registration Data: legal basis | Health and Social Care Act 2012 - s261(5)(d); Health and Social Care Act 2012 – s261(2)(c); National Health Service Act 2006 - s251 - 'Control of patient information'. | |
| Civil Registrations of Death: legal basis | Health and Social Care Act 2012 - s261(5)(d); Health and Social Care Act 2012 – s261(2)(c); National Health Service Act 2006 - s251 - 'Control of patient information'. | |
| Demographics: legal basis | Health and Social Care Act 2012 - s261(5)(d); Health and Social Care Act 2012 – s261(2)(c); National Health Service Act 2006 - s251 - 'Control of patient information'. | |
| Hospital Episode Statistics Accident and Emergency (HES A and E): legal basis | Health and Social Care Act 2012 - s261(5)(d); Health and Social Care Act 2012 – s261(2)(c); National Health Service Act 2006 - s251 - 'Control of patient information'. | |
| Hospital Episode Statistics Admitted Patient Care (HES APC): legal basis | Health and Social Care Act 2012 - s261(5)(d); Health and Social Care Act 2012 – s261(2)(c); National Health Service Act 2006 - s251 - 'Control of patient information'. | |
| Hospital Episode Statistics Outpatients (HES OP): legal basis | Health and Social Care Act 2012 - s261(5)(d); Health and Social Care Act 2012 – s261(2)(c); National Health Service Act 2006 - s251 - 'Control of patient information'. | |
| MRIS - Cause of Death Report: legal basis | Health and Social Care Act 2012 - s261(5)(d); Health and Social Care Act 2012 – s261(2)(c); National Health Service Act 2006 - s251 - 'Control of patient information'. | |
| MRIS - Cohort Event Notification Report: legal basis | Health and Social Care Act 2012 - s261(5)(d); Health and Social Care Act 2012 – s261(2)(c); National Health Service Act 2006 - s251 - 'Control of patient information'. | |
| MRIS - Flagging Current Status Report: legal basis | Health and Social Care Act 2012 - s261(5)(d); Health and Social Care Act 2012 – s261(2)(c); National Health Service Act 2006 - s251 - 'Control of patient information'. |
Objective for processing
Over the years, the Roy Castle Lung Cancer Research Programme (RCLCRP) has been at the forefront of research in early detection of lung cancer.
The University of Liverpool requires access to NHS England data for the purpose of the following research project:
The RCLCRP’s Liverpool Lung Project (LLP) is a large, prospective, population-based study of lung cancer, together with a case-control cohort collecting data and samples from diagnostic and surgical patients.
The Roy Castle Lung Cancer Research Programme’s Liverpool Lung Project (LLP)
The University of Liverpool requires follow-up data for the Liverpool Lung Project, a longitudinal observational study aimed at identification of risk factors and biomarkers that will allow improved early detection and treatment of lung cancer and respiratory disease. Hence it is a task in the public interest, leading to improved understanding of disease and opportunities for improved treatment resulting in lives saved and improved health.
The following is a summary of the aims of the research programme provided by the University of Liverpool:
The University of Liverpool is the sole Data Controller and also processes the data for this study. No other organisations process the data for this purpose. The study protocol names core collaborators from the Wolfson Institute of Preventive Medicine, Liverpool Heart & Chest Hospital, Clatterbridge Cancer Centre and Aintree University Hospitals NHS Foundation Trust. These individuals do not have any bearing on the data under this Agreement. Their roles are limited to providing data and information to the LLP. If the data collected by the University of Liverpool indicates something of note, the University of Liverpool will request the appropriate clinical partner to undertake a case review. A collaborator from the Wolfson Institute of Preventive Medicine has additionally acting in an advisory role on statistical modelling but has not required access to the data under this Agreement to do this.
"The Liverpool Lung Project (LLP) has been active since 1997 with participants providing informed consent to their involvement. This observational study investigates differences between those diagnosed with lung cancer and control subjects without lung cancer, or between different lung cancers, to identify opportunities for improving diagnosis or treatment.
The LLP, which is based at the University of Liverpool, includes one of the largest collections of data and samples in the UK and Europe from a population cohort at high risk of lung cancer (approximately 9000 individuals from the Liverpool area, recruited whilst healthy 1996 - 2014). By determining which of these individuals get lung cancer, the LLP can perform scientific studies to integrate risk factors into its ongoing risk prediction modelling research, building on the LLP Lung Cancer Risk Model.
"The LLP is one of the largest prospective lung cancer case-control and population cohort studies in Europe.
The LLP also includes patients referred for “query lung cancer” investigations and continues to recruit these patients at different times in their diagnostic pathway. In addition, the LLP recruits patients undergoing treatment for lung cancer, predominantly surgical patients. To date the LLP has recruited over 4000 of these diagnostic and surgical patients into its “hospital cohort”, the majority at the Liverpool Heart & Chest Hospital (LHCH).
"The primary objective of the LLP is to create risk models for lung cancer and identify risk models or “biomarkers” that inform the risk of lung cancer, provide opportunities for early diagnosis, or give information on disease prognosis. The LLP achieves those objectives through a rolling portfolio of projects which are devised in response to publications and developments in science. It is an evolving process as knowledge and research practices develop (e.g. the integration of new analytical methodologies). The research agenda is ultimately determined by the Chief Investigator in conjunction with collaborative researchers at the University of Liverpool. All projects (under the LLP) are interrelated and within the overarching scope of the LLP. Projects require funding and funding applications typically take between 3 and 6 months. Funding for a project is typically for between 1 and 5 years. New ideas for projects within the LLP arise on a constant basis but the process to lead an idea to a funding grant application typically takes 6 months. As part of that process, proposals are referred to a review group including the Principal Investigator, statistical advisor and peer reviewers, and ethical opinion is obtained."
Samples and data from these patients, together with controls from the population cohort, are primarily used in scientific studies to discover new genetic risk factors and potential biomarkers – i.e. substances that can be measured in samples of blood, sputum or tissue that can tell something useful about the disease.
The following NHS England data will be accessed:
This may be, for example, differences or changes in a patient’s DNA (mutation or methylation) when detected in biopsy samples or blood, which can potentially indicate the person’s risk of lung cancer, can confirm the presence of lung cancer or indicate what type of lung cancer a person has (which may lead to personalised treatment).
• Hospital Episode Statistics Admitted Patient Care and Outpatients – necessary to provide more detail of cancer diagnostic pathways and treatment, which have a bearing on outcome measures and inform research on potential changes to care pathways influenced by the risk models being researched, and to provide information on co-morbidities (illness arising alongside lung cancer) and predisposing illness (e.g. respiratory diseases that has shown contribute to lung cancer risk) which informs both risk model and allows the LLP to correct outcome measures for confounding factors
The aims of the LLP are to:
• Hospital Episode Statistics for Accident & Emergency were initially obtained, as it is known many lung cancers are diagnosed in this setting, and linked to the epidemiology data already gathered from participants through detailed questionnaires obtained upon recruitment into the study and from their medical notes.;
i. determine factors associated with the risk of lung cancer (to help identify ways to select people for screening);
• Civil Registration Mortality – necessary to identify both lung cancer incidence (within causes of death) and the time from recruitment or treatment until death (all-cause mortality and lung cancer-specific mortality, important measures of health status and outcome);
ii. identify better ways to detect lung cancer earlier (to improve diagnosis, which will save lives);
• Cancer Registration – necessary to identify lung cancer incidence and provide additional information on timing and specific diagnosis of lung cancers (a primary outcome measure of the study) and other cancers (which may be significant confounding factors that must be taken into account during analysis);
iii. to better understand the biology of lung cancer (leading to potential new therapies);
• Demographics – necessary to inform the current status of participants (alive, dead or lost to follow-up)
iv. identify ways of selecting patients for the best current and future treatment;
The LLP are no longer requesting HES data relating to emergency care, as all subsequent diagnosis and treatment data will be within the inpatient and outpatient care, and/or included in Cancer Registration and Civil Registration Mortality data.
v. contribute to improving patients' outcome and ultimately save lives.
The level of the data will be:
To this end, a documentation of previous history of diseases is essential for exploring the impact of comorbidity on lung cancer. A rich source of data for exploring the potential role of comorbidity in lung cancer pathogenesis is the Hospital Episode Statistics (HES).
• Identifiable – necessary to enable linkage of the data with data collected from other sources, including the participants themselves.
The University of Liverpool requires NHS Digital data to inform the current status (alive/dead) and dates and causes of death; this data specifically informs the prime question of the study, helping to identify both lung cancer incidence (within causes of death) and the time from recruitment or treatment until death (all-cause mortality, an important measure of health status and outcome). This data needs to be provided for specific individuals (by linkage through NHS number with verification by month/year of birth) to allow appropriate data for personal level risk model development and evaluation. As a longitudinal study, it is important to follow as many subjects as possible until death, so the LLP plan to ask for data on all available years (including retention of data already provided and incremental updates). Although the study was based in Liverpool, recruited individuals at local hospitals included those who had travelled from out of area for specialist care and individuals may have moved subsequent to recruitment, therefore all UK data is requested. Alternative methods of assessing mortality status (e.g. re-contacting individuals) would be either more intrusive (likely to cause harm/distress), less informative or incomplete.
Data returned is subsequently linked only via the Member Number (LLP Master Patient Index), as a pseudonymisation key.
NHS Digital will also provide cancer registry data, identifying all cancer diagnosis, with dates (where available). The justification for this is broadly the same as for cause of death, but this data provides additional information on timing and specific diagnosis of lung cancers (a primary outcome measure of the study) and other cancers (which may be significant confounding factors that must be taken into account during analysis). Again, this must be at the individual level, for all dates available and all geographical areas to provide the best dataset of personalised prognostic prediction. Alternative methods (e.g. case-note review) are likely more intrusive, less efficient and incomplete.
The data will be minimised as follows:
Health Episode Statistics (HES) for inpatient and outpatient care data is required to provide more detail of cancer diagnostic pathways and treatment, which have a bearing on outcome measures and informs research on potential changes to care pathways influenced by the risk models being researched. However, the main reason for accessing this data is that information is provided on co-morbidities (illness arising alongside lung cancer) and predisposing illness (e.g. respiratory diseases that has shown contribute to lung cancer risk); this data will help inform both risk model and allow the LLP to correct outcome measures for confounding factors. The same considerations on individualised data, data timing, geographical spread and alternative methods apply.
• Limited to data for a study cohort of 14,683 participants recruited by the LLP.
Data requirements have been limited to those health-related events that directly impact the aims of the study and address the public interest justification. The LLP has collected patient identifying information used for linkage directly from subjects; for quality assurance purposes, they ask that NHS number, name, DoB, gender and postcode are returned by NHS Digital (to ensure unequivocal matching). Data returned is subsequently linked only via the Member Number (LLP Master Patient Index), as a pseudonymisation key.
Participants were recruited in one of two ways, as a population cohort, or as a hospital cohort. Between 1996 and 2009, the LLP approached over 100,000 people in certain age groups living in certain postcode areas where it was known people were at the highest risk of developing lung cancer and those people were invited to consent to participate. Similar high-risk groups were recruited in the primary care setting from 2005 until 2015. Additionally, the LLP recruited individuals in hospital settings who had been referred with suspected lung cancer or were being treated for lung cancer. Recruitment to the first subset ended in 2015 but recruitment of cancer patients and suspected cancer patients to the ‘case-control’ subset continued.
The LLP previously obtained the HES data (inpatient, outpatient and emergency care) of consented participants from NHS Digital and linked this to the epidemiology data already gathered from the participant through detailed questionnaires obtained upon recruitment into the study and from their medical notes.
All 14,683 participants consented to allow access to their medical records. For 11,028, consent also allowed the sharing of their identifying details with NHS England to facilitate data linkage and access. For 3,655, support under Section 251 NHS Act 2006 provides the legal gateway for sharing their identifiers with NHS England.
The LLP are no longer requesting HES data relating to emergency care, as all subsequent diagnosis and treatment data will be within the inpatient and outpatient care.
The University of Liverpool is the data controller as the organisation responsible for ensuring that the data will only be processed for the purpose described above.
In addition, all information gathered is linked to the mortality data obtained from NHS Digital to study the mortality patterns of participants in the LLP.
The lawful basis for processing personal data under the UK GDPR is:
Data obtained from Cancer Registries via NHS Digital is also linked to such participants in order to record date of cancer incidence and type of cancer.
Article 6(1)(e) - processing is necessary for the performance of a task carried out in the public interest or in the exercise of official
The study investigators are not aware of any moral or ethical issues raised by the proposed dissemination of NHS Digital data to the University of Liverpool, nor the dissemination of the aggregated study results to the wider public. The study investigators are unaware of any risk of potential harm to the public by the dissemination. The potential for harm has been assessed by University of Liverpool (Data Protection and Study Sponsor), by NRES ethical approval and by the Confidentiality Advisory Group (CAG).
authority vested in the controller;
Safeguards are in place that protect the interests of the data subject, these have been judged as proportional to the substantial public interest, including approval by CAG under section 251 of the NHS Act 2006 (which together with informed consent also safeguards the common law duty of confidentiality). Safeguards include physical and operational barriers protecting privacy and allowing processing of personal identifying and sensitive data only by staff contractually obliged to fulfil the requirements set out by the University of Liverpool Data Protection Policy, compliant with all laws and approvals.
The lawful basis for processing special category data under the UK GDPR is:
Processing activity and storage of personal and sensitive (special category) data is limited according to best practice (both in terms of scope and timing), but recognising that longitudinal studies require long-term data linkage and that research studies require anonymised and pseudonymised data to be available for a significant amount of time. These issues have been explained to participants during informed consent and are covered in a publicly accessible Privacy Notice.
Article 9(2)(j) - processing is necessary for archiving purposes in the public interest, scientific or historical research purposes or statistical purposes in accordance with Article 89(1) based on Union or Member State law which shall be proportionate to the aim pursued, respect the essence of the right to data protection and provide for suitable and specific measures to safeguard the fundamental rights and the interests of the data subject.
The research project is part of a wider international effort to address the critical issue of earlier detection of lung cancer, required to address the single largest cause of cancer-related mortality. As such, the University of Liverpool share processed data with other research groups, but do so in a controlled way, bound by Data Sharing Agreements that confer the same level of adherence to protecting the rights of individuals involved in research and specifically covered by informed consent of subjects. All such data shared is either aggregate (as in publication), anonymous, or pseudonymised (such that additional data provided by the collaboration can be added to the sum of knowledge about subjects within the LLP, but not allowing others to link data and risk re-identification – this includes measures to suppress rare events).
This processing is in the public interest because it adheres to the UK Policy Framework for Health and Social Care Research and aims to improve understanding of disease and opportunities for improved treatment resulting in lives saved and improved health.
The
work undertaken by the LLP
funding
is
funded
provided
by multiple organisations (research charities and government agencies, including international bodies). Their
[24 words unchanged]
the highest standards of governance, public dissemination of results and scientific rigour.
Research staff at the University take part in collaborations with research partners, some of which are from commercial organisations (e.g. Biotech of Pharmaceutical companies) and those organisations may provide grants to fund University staff or cover costs associated with provision of samples for joint analysis and publication.
As a University using health data for research purposes, “task in the public interest” is the legal basis for processing personal and sensitive information under the General Data Protection Regulations [Article 6 (1) (e)]. As the study is for scientific research purposes, the University also rely on Article 9 (2) (j) of the General Data Protection Regulation.
Individuals from the Liverpool Heart & Chest Hospital, Clatterbridge Cancer Centre and Aintree University Hospitals NHS Foundation Trust are core collaborators in the LLP. Their roles are limited to providing additional data and information to the LLP during recruitment or from case note review. If the data collected provide under this Agreement indicates something of note, the University of Liverpool may request the appropriate clinical partner to undertake additional case review. A collaborator from the Wolfson Institute of Preventive Medicine acts in an advisory role on statistical modelling, but does not require access to the primary confidential patient information under this Agreement to do this. None of those individuals have access to the data under this Agreement.
Public and Patient Engagement for the LLP included representation during study design (contributing to the ethically approved protocol) including consideration of patient confidentiality. Ongoing engagement includes representation on local research groups and funding bodies.
Processing activities
All organisations party to this agreement must comply with the Data Sharing Framework Contract requirements, including those regarding the use (and purposes of that use) by “Personnel” (as defined within the Data Sharing Framework Contract i.e: employees, agents and contractors of the Data Recipient who may have access to that data).
The University of Liverpool will transfer data to NHS England. The data will consist of identifying details (specifically NHS Number, Date of Birth, Postcode, Gender and a unique person ID) for the cohort to be linked with NHS England data.
Since 2007, the LLP has periodically provided identifying details of consented participants to NHS Digital or predecessor service providers (ONS, the NHS Information Centre and the Health & Social Care Information Centre). LLP has been provided with the linked data about participants’ deaths (date and cause), cancer registrations, exits from or re-entries to the NHS and, subsequently, Hospital Episode Statistics.
NHS England data will provide the relevant records from the demographics, cancer registration and civil registration mortality datasets to the University of Liverpool. The data will:
The flow of data into NHS Digital is limited to personal identifying information required for linkage (NHS number) and for verification of that linkage: unique cohort MPI No. (Master Patient Index), Name, Date Of Birth, Gender, NHS Number and Postcode.
• contain directly identifying data items including: NHS Number and Date of Birth, which are required to link the data at record level with data already held by the recipient
This data subjects all gave informed consent to take part in the study, including for access to their health records. Where consent taken in the past was deemed not to meet current standards, the LLP have obtained support under section 251 of the NHS Act 2006 from CAG to permit the processing of confidential data without fully informed consent.
Since 2007 and under previous versions of this Agreement, NHS England or predecessor service providers have supplied linked data about participants’ deaths (date and cause), cancer registrations, exits from or re-entries to the NHS and Hospital Episode Statistics.
The flow of data out of NHS Digital consists of a download of data files containing the data initially supplied, plus matching fields from NHS Digital and the requested health care and outcome data, the majority of which can be considered as special category data: specifically race/ethnic origin and health data. As previously, identifying data other than the minimum required for basic data linkage, are provided to ensure quality assurance of matching (i.e. latest name/gender/DoB/postcode).
The data will not be transferred to any other location.
The data files are transferred to an encrypted drive on a dedicated University of Liverpool virtual server. This is only accessible to a limited number of qualified staff and is password protected within a managed environment.
The data will be stored on servers at the University of Liverpool.
Data supplied by NHS Digital is processed for inclusion into the LLP clinical database, to enable its use for the approved legitimate purpose. The data is linked at patient level with data in the LLP clinical database using the subject specific MPI number only. The data within this database are pseudonymised as much as practically possible but include health data and event dates. Event dates are required for calculation of time periods in relation to other events both within the data provided by NHS Digital and to events collected by other means, e.g. directly from the subject or by review of hospital records.
1. Confirm where the data will be accessed.
Data processing is performed within a University of Liverpool managed environment (password protected) and limited to specific folders accessible only to qualified staff associated with the LLP study. In addition the clinical database on which the data resides is separately managed with additional controls on staff access.
The data will be accessed onsite at the premises of the University of Liverpool only.
Data flow outside of the clinical database (but remaining within the managed network) may include both personal identifying information and special category data (ethnicity and health data). This will only happen as required for data cleaning or collation of data from other sources (e.g. confidential provision of patient lists for case-note review by study-associated clinical staff with the approval of local Caldicott Guardians – in this case NHS Digital data is used to identify subjects, but the data itself is not shared).
Personnel are prohibited from downloading or copying data to local devices.
The data will only be accessed by researchers employed by the University of Liverpool and not shared with any third parties.
The data will not leave England at any time.
Subsets of data from the clinical database including information derived from the data under this Agreement may be extracted and shared with collaborating organisations. Any data that is shared with these collaborative organisations will be pseudonymised with a unique study ID that allows the LLP to link results of analysis back to individuals. Dates are removed (replaced by ages or time periods, e.g. time form diagnosis to death) or limited (e.g. year or month + year); health events are curated (e.g. classed as lifetime events rather than time dependent events) or recoded to remove granularity (e.g. grouping into less specific terms such as “lung disease”). The derived data will be shared in combination with data from other sources (e.g. pathology records, electronic patient records, questionnaires) but this data will not contain identifying information or any information which would result in any shared data being identifiable as originating or deriving from the data from NHS Digital or possible to reverse-engineer such that it can be so identified. The combined data will conform to the specification shared with NHS Digital (filename ‘UoL Lung projects Data sharing MD209180218’) which NHS Digital has approved.
Access is restricted to individuals within the Liverpool Roy Castle Lung Cancer Research Programme (Liverpool Lung Project) who have authorisation from the Chief Investigator. All such individuals are substantive employees of the University of Liverpool.
Given the high incidence of lung cancer and associated co-morbidities, it is considered incredibly unlikely that any re-identification could occur, even with access to other data.
All personnel accessing the data have been appropriately trained in data protection and confidentiality.
Where possible data is provided in aggregate form, although the nature of the research performed often requires individual level data (to link biomarkers or attributes to specific health outcomes). In most cases the data is combined with new data produced from biological or biochemical assays (in associated samples provided from the LLP biobank) or from algorithms based on risk data provided by subjects via questionnaire. Having combined the data an assessment is made as to whether the new data allows the LLP to predict specific health outcomes (e.g. diagnosis, specific disease sub-type related, disease severity or outcome) – providing a risk score or diagnostic algorithm that may help the LLP guide future treatment. Additionally correlations are made between data that help the LLP understand the biology of lung cancer, which provides new opportunities for alternative treatments.
The data will be linked at person record level with epidemiology data obtained from participants through detailed questionnaires at recruitment into the study and also from their medical notes.
The identifying details will be stored in a separate database to the linked dataset used for analysis. All analyses will use the pseudonymised dataset. There will be no requirement and no attempt to reidentify individuals when using the pseudonymised dataset.
Researchers from the Liverpool Roy Castle Lung Cancer Research Programme (Liverpool Lung Project) will process the data for the purposes described above.
The data covered by this Agreement will only be accessed by researchers employed by the University of Liverpool and not shared with any third parties. The LLP clinical resources team is a subset of the LLP (which is part of the Liverpool Roy Castle Lung Cancer Research Programme). In this instance it is only the LLP clinical resources team that has access to the database with identifiable data. Derived data, anonymous to anyone outside of the LLP clinical resources team with access to the clinical database, is produced for use in research. This incorporates some data derived from data received under this Agreement, but also relies on its relationship to data independently collated by LLP (e.g. from pathology records, electronic patient records, questionnaires). It is therefore difficult to identify which data was derived only from NHS England data. The derived data does not contain direct personal identifiers but includes a unique study ID that allows the LLP clinical resources team members to link results of analysis back to individuals. Dates are removed (replaced by ages or time periods, e.g. time from diagnosis to death) or limited (e.g. year or month + year); health events are curated (e.g. classed as lifetime events rather than time dependent events) or recoded to remove granularity (e.g. grouping into less specific disease terms). The derived data does not contain identifying information or any information which would result in any shared data being identifiable as originating or deriving from the data from NHS England or possible to reverse-engineer such that it can be so identified.
The risk of reidentification via data linkage is relevant for any derived data (including if subsequently shared) but is mitigated in a number of ways. Aggregation is widely used for sharing results, in which case individual level data is not available for linkage. Where aggregation is not possible, studies are of a substantial size for a common disease, so individuals cannot easily be identified unambiguously even based on multiple parameters, e.g. disease status, gender and age. Dates are suppressed (either truncated or converted to time periods/age). Minimal relevant summary data, e.g. disease type, appropriate to the research question addressed is provided, rather than full case histories. Geographical data (e.g. postcode, collected from the subject) is only used to contact individuals or to gather other data (e.g. deprivation index, radon exposure) – in which case data for postcode alone are used with no other identifying information; the subsequent data is linked to individuals within the secure LLP clinical database and only results (not location) shared subsequently. Given the high incidence of lung cancer and associated co-morbidities, it is considered incredibly unlikely that any re-identification could occur, even with access to other data.
SHARING OF DERIVED DATA
Unprocessed data from NHS England is never provided to any third party. Anonymised, derived data (processed as described above) may be shared as part of ethically approved research collaborations with academic or industrial partners (if subjects have consented to this). Where possible data is provided in aggregate form. However, the nature of the research performed often requires individual level data (to link biomarkers or attributes to specific health outcomes), in which case data is shared under a Data Sharing Agreement or equivalent contractual arrangement. The anonymous, derived data will conform to the specification shared with NHS England (filename ‘UoL Lung projects Data sharing MD 20190218’).
[5 paragraphs unchanged]
v. must not publish the
individual level
data.
Under the terms of this Agreement, the University of Liverpool is responsible for ensuring compliance with the above
conditions and for confirming destruction of the data by any collaborating organisation once the data is no longer required for the purpose for which it was shared.
conditions.
Organisations receiving
derived
data will all be involved in health research that furthers the aims for use of the data.
This includes
Organisations include
non-profit and educational establishments and commercial research organisations (e.g. biotech and pharmaceutical
[48 words unchanged]
samples are also included) cover all such transfers of data and confer
the same standards of care as specified for receipt of data from NHS Digital, meeting
all obligations of the relevant data protection legislation.
The ultimate flow of data is into publications made publicly available for the benefit of the wider research community. Special care is taken to ensure confidentiality is maintained and re-identification is not possible; data is in aggregate form in publications.
Only derived data that is anonymous in the hands of the recipient is shared by e-mail or by portable media, in which case all files are password protected and/or encrypted during transit. Data returned by collaborating organisations, including sophisticated analysis that would otherwise not be available, is linked by LLP Master Patient Index and used for the overarching long-term LLP objectives of building a greater understanding of how to identify individuals at high risk of lung cancer, diagnose or treat lung cancer and respiratory disease.
The risk of reidentification via data linkage is relevant for any data subsequently shared but is mitigated in a number of ways. Aggregation is widely used for sharing results, in which case individual level data is not available for linkage. Where aggregation is not possible, studies are of a substantial size for a common disease, so individuals cannot easily be identified unambiguously even based on multiple parameters, e.g. disease status, gender and age. Dates are supressed (either truncated or converted to time periods /age). Minimal relevant summary data, e.g. disease type, appropriate to the research question addressed is provided, rather than full case histories. Geographical data (e.g. postcode, collected form the subject, not provided by NHS Digital) is only used to contact individuals or to gather other data (e.g. deprivation index, radon exposure) – in which case data for postcode alone are shared with no other identifying information; the subsequent data is linked to individuals within the secure LLP clinical database and only results (not location) shared subsequently.
The data from NHS Digital is linked with other information collected from or about the participants including questionnaire responses and information derived from samples of blood, sputum or tissue. The data are then pseudonymised for analysis.
National patient opt-outs will be applied to all data released by NHS Digital under this Agreement. The opt-out policy does not require opt-outs to be applied for individuals who gave sufficiently informed consent for their data to be processed but the University of Liverpool has chosen for opt-outs to be applied for the whole cohort having given due consideration to the following factors:
i. The cohort comprises a mixture of participants recruited prior to 2003 whose consent in relation to the specific data processing described in this Agreement was not sufficiently informed and for whom support under the NHS Act 2006 section 251 allows the processing of their data without consent, and participants who gave sufficiently informed consent since 2003. The majority of participants were recruited prior to 2003.
ii. The participants are based in geographical areas with comparatively lower uptakes of patient opt-outs.
iii. The LLP actively seek to re-consent existing participants using the latest versions of consent materials whenever there is a suitable opportunity and this would create practical challenges in managing which participants are deemed to have given sufficiently informed consent (and therefore are exempt from opt outs for the purpose of the LLP) and which have not. The overhead of managing which participants belong to which group was considered to outweigh the risk of losing consented participants who have registered an opt-out.
iv. Consent is permissive but does not oblige the LLP to use participants' data in the programme.
The data is received and stored at the University of Liverpool. All data processing of the data supplied by NHS Digital takes place at The University of Liverpool and is carried out by the University of Liverpool Roy Castle Lung Cancer Research Programme (Liverpool Lung Project) staff, holding substantive contracts of employment at the University of Liverpool and having received appropriate Data Protection and Good Clinical Practice (GCP) training.
Staff are based within The William Henry Duncan Building with data held on secure servers within the University of Liverpool (in compliance with the IG toolkit).
NHS Digital data, prior to processing and transfer to the LLP clinical database, is only accessed on University of Liverpool premises across a secure data network (password protected) from a BitLocker) encrypted virtual server (by approved LLP study staff); the secure server is firewall protected and accessible only from 3 designated PCs (with unique IP addresses).
After processing, data is stored on a System Builder database located on a secure data network at the University of Liverpool; this network is only accessible to staff and is password protected. Data is located in folders that are limited to named staff. The System Builder database has additional access control including different usernames and passwords.
All hardware is in secure environments: servers within the Computer Services Department and PCs within research building with swipe-access control. Procedural control ensures that PCs are never left accessible. All data is stored on servers (rather than individual PCs) and is backed-up routinely with the same level of protection (i.e. the encrypted server has an encrypted back-up).
Only data that is anonymised or pseudonymised is shared by e-mail or by portable media, in which case all files are password protected and/or encrypted during transit.
The data are used for the overarching long-term objective of building a greater understanding of how to identify individuals at high risk of lung cancer. The data are added to the LLP’s risk model. The exact uses of the data evolve over time as science moves forward. For example, as new scientific technical emerge, the data are used in different ways but always within the scope of the overarching objective. The data will only be processed for the purposes described in this document.
Data received from NHS Digital will not be shared with any third parties.
Expected output
All outputs are aggregate with small number suppressed in line with the HES analysis guide.
The expected outputs of the processing will be:
Outputs will include;
• Reports for grant awarding bodies will be produced. This will include reports in support of additional funding applications for further analysis, ensuring maximum utility and benefit from the data provided.
1. Reports:
• Submissions to peer reviewed internationally renowned oncology, epidemiology and public health journals
Reports for grant awarding bodies will be produced. This will include reports in support of additional funding applications for further analysis, ensuring maximum utility and benefit from the data provided.
• Presentations at major cancer conferences including the World Conference on Lung Cancer, the American Association for Cancer Research Annual Meeting and the National Cancer Research Institute Annual Meeting
2. Publications:
The outputs will not contain NHS England data and will only contain aggregated information with small numbers suppressed as appropriate in line with the relevant disclosure rules for the dataset(s) from which the information was derived.
It is anticipated that the analysis from this study will be included in internationally renowned oncology, epidemiology and public health journals. Publications will be prepared for 2020 and subsequent years. Journals for consideration will include:
1. How will the outputs be disseminated or otherwise communicated to relevant recipients?
Thorax
• The outputs will be communicated to relevant recipients through the following dissemination channels: Journals
Journal of Thoracic Oncology
• Workshops involving the wider scientific community (as part of conferences)
Lung Cancer
• Webinars open to members of the University of Liverpool
British Journal of Cancer
• Social media (through University and funding body press offices)
Cancer epidemiology, biomarkers & prevention
• Public reports (e.g. of funding bodies)
Scientific Reports
• Direct bilateral engagement with research sponsors (e.g. the Roy Castle Lung Cancer Foundation), charitable donors to supporting charities (including participants and family members), interested members of the public, during the course of open days or laboratory visits.
Oncology Letters
• Co-hosted events, including laboratory tours and charity functions
Nature Genetics
• Public events, e.g. University public engagement events, open days or laboratory tours
Nature Communications
• Posters displayed at scientific conferences and subsequently within the University department
Lancet
• Patient Information leaflets available at recruitment sites.
Lancet Oncology
• Press/media engagement
More information on publications can be found on the on the web-pages of the Principal Investigator, Prof. John Field:
• Public promotion of the research, via our own web-pages and those of supporting charities.
https://www.liverpool.ac.uk/translational-medicine/staff/john-field/publications/
• Reports aimed at funding bodies
3. Presentations:
Outputs are produced and disseminated on an ongoing basis. Current plans include:
In accordance with previous years it is expected that presentations will be given at major cancer conferences. These presentations will provide dissemination of results from studies primarily to scientific audiences.
• Papers on genetic risk of lung cancer are currently submitted or in the process of being submitted as part of a multinational collaboration (multiple, ongoing throughout 2023).
Conferences are expected to include:
• A paper on the relationship between lung cancer risk and radon exposure and will be submitted early 2023.
World Conference on Lung Cancer
• LLP risk score linked to a consumer classification for marketing, in order to investigate the best way to contact different risk groups; a publication is currently being prepared (2023).
American Association for Cancer Research Annual Meeting
• Plasma Tumour Markers with diagnostic potential have been tested in lung cancer cases and controls in order to determine their potential utility in early detection. A report to the funding body will be prepared (spring 2023) prior to potential presentation at suitable research conference (mid 2023) and submission for peer-reviewed publication (mid 2023).
National Cancer Research Institute Annual Meeting
• An investigation of plasma protein markers of lung cancer risk has been performed, with a patent application submitted summer 2022. A paper for a peer reviewed journal is in preparation (for submission early 2023). Conference presentation and press-release are likely to follow the journal publication (2023).
Results will also be presented to lay audiences at outreach events and during laboratory tours or via web-pages (including University of Liverpool and funding bodies, e.g. Roy Castle Lung Cancer Foundation).
• Further, similar outputs are planned for other aspects of the same risk biomarker project (2023 onwards).
A press-release will be used to inform the wider public of the journal articles when they are published and an update on our web-page made at the same time.
Expected measurable benefits
Lung cancer is the leading cause of cancer-related death in most developed countries, with mortality rates exceeding that of colon, breast and prostate cancer combined. The benefits of this research are linked clearly to its aims - namely to find ways to screen for and diagnose cancer earlier to improve the outcomes for patients.
The findings of this research study are expected to contribute to evidence-based decision-making for policy-makers, local decision-makers such as doctors, and patients to inform best practice to improve the care, treatment and experience of health care users relevant to the subject matter of the study.
Lung cancer is predominantly a disease of the elderly, with an average age at diagnosis of around 60-70 years, and often presented very late at an advanced stage.
The data is used for the development of risk models and biomarkers for use nationally and internationally to identify individuals at high risk of developing lung cancer and to guide subsequent treatment.
Given that more than 94% of the patients diagnosed with lung cancer in the UK die of the disease within five years, the primary objective is to detect lung cancer at an earlier, potentially more curable stage (5-year survival rate of stage IA tumour is ~70%).
The use of the data could:
The primary aim of this research is to improve the early detection of lung cancer. Changes likely to have happened as a result of the LLP outputs include: introduction of risk models to identify those most at risk of lung cancer for early detection initiatives (such as screening); identification of biomarkers that aid detection or clinical management of lung cancer; identification of novel targets for cancer treatment.
• lead to the identification or improvement of treatments or interventions, or health and care system design to improve health and care outcomes or experience – for example, targeting screening to those most likely to benefit.
The magnitude of the impact for improved early detection is considered to be great, as lung cancer is the biggest cause of cancer mortality and this is largely because of detection at late stage when treatments are less effective.
• advance understanding of the need for, or effectiveness of, preventative health and care measures for particular populations or conditions such as lung cancer and COPD.
One of the benefits of using a risk-based approach is in cost-saving by improved targeting of screening to those most likely to benefit. Further analysis of trials is ongoing to provide evidence for mortality improvement, but regional initiatives are already adopting the LLP risk score and delivering early detection opportunities to thousands of individuals.
• inform health services and programmes to improve equity of access, experience and outcomes.
Biomarkers that allow early detection (e.g. from blood samples) or improve screening results (by stratifying risk for those with small potentially pre-cancerous lesions) are also likely to provide a large benefit in terms of numbers of individuals benefiting and efficiency savings (e.g. reducing the need for follow-up scans). These benefits are likely to take longer to achieve as this work provides only discovery and preliminary validation, clinical trials will need to be performed before implementation.
• support knowledge creation or exploratory research (and the innovations and developments that might result from that exploratory work).
Similarly insights into lung cancer biology (e.g. identifying molecular signatures of cancers that have poor outcomes) will have a long lead time to improved treatment. However the potential benefits are great, given the incidence of lung cancer and the relatively low effectiveness of current treatments.
It is hoped that through publication of findings in appropriate media, the findings of this research will add to the body of evidence that is considered by the bodies, organisations and individual care practitioners charged with making policy decisions for or within the NHS or treatment decisions in relation to specific patients.
The primary beneficiaries of the research will be the general population, through improved health and lower mortality. The NHS will benefit from lower costs or improved efficiency. Research funders are primarily non-profit, but may benefit from royalties paid if any intellectual property is developed and exploited. Those funders that are commercial enterprises aim to benefit by generation or exploitation of intellectual property (e.g. biomarkers and drugs); although it should be noted that the University of Liverpool and other funders have protected intellectual property in order to share these benefits. Given that the LLP plan to publish their research findings it is possible that third parties will benefit, although to do so they will have to extend the work.
The risk model (output) is used as a tool to identify high risk individuals for lung cancer screening programmes.
This research will be of direct benefit for patients in developing those early detection technologies and techniques.
The biomarkers will be used to potentially identify high risk individuals for earlier intervention. Other biomarkers could be used to provide prognostic information for treatment prediction.
Although the pathogenesis of lung cancer is not yet fully understood, researchers have suggested the potential role of the occurrence of concomitant diseases (conditions that occur at the same time) in the aetiology (cause/s) of lung cancer.
Patients benefit from the detection of early-stage disease. Early detection of lung cancer and intervention has been proven to allow good opportunities for curative treatment.
Due to increasing longevity and rapid ageing populations, the number of people with more than one comorbid conditions is expected to increase sharply in the coming decades. This increase might lead to an increase in the incidence of lung cancer and the comorbidity burden might lead to increase overall and/or lung cancer-specific mortality.
To optimise the public benefits from the use of the data, major outputs (e.g. risk models / biomarkers) are publicised through journals but through press office at University of Liverpool and the Roy Castle Lung Cancer Foundation. The LLP is registered on the CRUK website and CRUK funded studies will be publicised through their press office.
This research will allow for these co-morbidity links and contributory factors to be investigated, analysed and reported on and ultimately benefit the patient.
In order to explain long term benefits to society from cancer research, one needs to consider this as an iterative process, which includes a sequence of events: gene/ protein discovery which impacts on the disease, development of the assays, validation of the assay in a separate population, testing in a clinical trial setting and then developing the biological assay under approved conditions before general release. The number of new diagnostic / treatment modalities successfully proceeding through this sequence is very small, as there are many hurdles. This development chain may fail at any of the above points. The successful development of a new biological biomarker/ treatment intervention process may take anywhere between 10-20 years, before it is ready to be released into the public domain and change clinical practice across England/ Wales. Over the years the LLP has been involved in a number of forefront research areas at several different stages.
The area that has made the largest impact thus far is the LLP lung cancer risk score: first published in 2008 (Cassidy et al., British Journal of Cancer 2008, 98(2):270-6); subject to validation 2012 (Raji et al., Annals of Internal Medicine 2012, 157(4):242-50); used in UKLS (Field et al., Health Technol Assess 2016, 20(40):1-146; Field et al., Thorax 2016, 71(2):161-70), used in local implementation LHLP (Ghimire et al., Lung Cancer 2019, 134:66-71) and has recently been updated to provide more accurate assessment (publication due this year) to be used in NHS Targeted Lung Health Checks.
The establishment of the Liverpool Lung Project (LLP) cohort has provided an important resource that is internationally recognised and will continue to provide benefits in the future. The ongoing update of associated NHS Digital data will further enhance the utility of this research resource, for example:
1. The University of Liverpool Roy Castle Lung Cancer Research Programme aims to utilise bronchial washings and/or sputum and/or blood to develop molecular assays for early diagnosis of lung cancer. The integration of HES, Cancer Registry and mortality data with the molecular data will allow the researchers to improve the LLP Risk Model tool for application of personalised risk assessment alongside the development of future molecular assays (either targeting those at highest risk, or attenuating the results to account for known confounding factors). The earlier lung cancer can be diagnosed the better the outcome for the patient.
2. Characterisation of risk factors for lung cancer is of considerable health and economic importance, as they can be used to inform prevention, screening and treatment policy. The researchers will continue to develop the LLP risk model for lung cancer and is identifying epigenetic and genetic biomarkers for early detection and prognosis of lung cancer in order to improve outcomes for patients.
Benefits reported
The Liverpool Lung Project has utilised data from NHS
Digital
England
to develop and validate the LLP risk model. This has been used
[31 words unchanged]
the majority of which were early stage an underwent potentially curative surgery).
Similarly the risk model is being used in the Liverpool Healthy Lung
[9 words unchanged]
setting and has been adopted by similar regional trials and implementation projects.
For example, the Liverpool Healthy Lung Check programme, utilised the LLP risk model to identify individuals for LDCT cancer detection. Having scanned 6826 high-risk patients (who would not otherwise have been referred for lung cancer diagnosis), 126 lung cancers were identified; notably most (67%) were early stage disease and suitable for surgery.
Of note, the NHS is funding a NHS
Targeted
Lung Health Check programme that will use the LLP risk score as part of identification of individuals for a low-dose CT lung cancer screen.
Other yielded benefits include a wide range of publications that have contributed
[16 words unchanged]
the primary aim and support the legitimate interest in utility of NHS
Digital
England
data.
The Liverpool Lung Project has contributed to over
150
160
research publication, including
11 during 2019 (Further details in Outputs section).
40 since 2019.
As mentioned above, the area that has made the largest impact thus
[14 words unchanged]
to benefit from early detection (e.g. lung cancer screening): first published in
2008 (Cassidy et al., British Journal of Cancer 2008, 98(2):270-6); subject to validation 2012 (Raji et al., Annals of Internal Medicine 2012, 157(4):242-50); used in UKLS (Field et al., Health Technol Assess 2016, 20(40):1-146; Field et al., Thorax 2016, 71(2):161-70), used in local implementation LHLP (Ghimire et al., Lung Cancer 2019, 134:66-71) and has recently been updated to provide more accurate assessment (publication due this year) to be used in NHS Targeted Lung Health Checks.
2008.
The LLP have now identified a lung cancer mortality reduction by low-dose CT screening in the UKLS lung cancer screening study that is of a similar magnitude as that seen for larger US and European studies and utilised the UKLS data in a meta-analysis of CT screening trials, demonstrating significant long-term gains in lung cancer mortality reduction. Furthermore, the lung cancer-related mortality was significantly better in the low-dose CT arm of UKLS than in the control arm. This was achieved in part by LLP's ability to identify those at greatest risk of lung cancer, using the LLP lung cancer risk score, with UKLS being the first randomised control trial to take this risk-based approach to recruitment.
[1 paragraph unchanged]
Genetic risk - LLP contributed to major Genome Wide Association Studies (GWAS) that identified novel genetic variants contributing to an increased risk of lung cancer
(McKay et al., Nature Genetics 2008, 40(12), 1404-1406)
and more recently, the OncoArray project looking at genetic risk in the largest cross-cancer genetic analysis to
date (McKay et al., Nature Genetics 2017, 49(7):1126-1132 ). These genetic risk biomarkers provide insights into why cancer occurs more frequently in some individuals, potential targets for preventative medicine and may contribute to lung cancer risk prediction to identify individuals for screening.
date.
DNA mutation - As part of the CURELUNG project and the Clinical Lung Cancer Genome Project, Next Generation Sequencing has revealed the mutational profiles of cancers collected as part of LLP and these have been used to help generate new histo-molecular classifications for different types of lung cancer (Fernandez-Cuesta et al., Nature Communications 2014, 5:3518 , Clinical Lung Cancer Genome Project & Network Genomic Medicine, Science Translational Medicine 2013, 5(209):209ra153). Mutations identified in these studies not only provide biological insight, but targets for novel personalised medicines.
These genetic risk biomarkers provide insights into why cancer occurs more frequently in some individuals, potential targets for preventative medicine and may contribute to lung cancer risk prediction to identify individuals for screening.
Epigenetic Biomarkers - A panel of DNA methylation biomarkers has been shown to improve the accuracy lung cancer diagnosis based on bronchial lavage cytology (Nikolaidis et al., Cancer Research 2012, 72(22):5692-5701).
DNA mutation - As part of the CURELUNG project and the Clinical Lung Cancer Genome Project, Next Generation Sequencing has revealed the mutational profiles of cancers collected as part of LLP and these have been used to help generate new histo-molecular classifications for different types of lung cancer. Mutations identified in these studies not only provide biological insight, but targets for novel personalised medicines.
A microRNA signature, detectable in small quantities of biopsy material can differentiate between tumour and normal tissue to help identify NSCLC (Bediaga et al., British Journal of Cancer 2013, 109(9):2404-2411).
Epigenetic Biomarkers - A panel of DNA methylation biomarkers has been shown to improve the accuracy lung cancer diagnosis based on bronchial lavage cytology.
A prognostic DNA methylation signature was identified for stage I Non-Small Cell Lung Cancer (Sandoval et al., Journal of Clinical Oncology 2013, 31(32):4140-4147)
A microRNA signature, detectable in small quantities of biopsy material can differentiate between tumour and normal tissue to help identify NSCLC.
A study of lncRNA in lung cancer indicated frequent dysregulationin Non-small Cell Lung Cancer (Acha-Sagredo et al., British Journal of Cancer 2020, 122(7):1050-1058)
A prognostic DNA methylation signature was identified for stage I Non-Small Cell Lung Cancer.
A study of lncRNA in lung cancer indicated frequent dysregulation in Non-small Cell Lung Cancer.
[1 paragraph unchanged]
Objective for processing
The University of Liverpool requires access to NHS England data for the purpose of the following research project:
The Roy Castle Lung Cancer Research Programme’s Liverpool Lung Project (LLP)
The following is a summary of the aims of the research programme provided by the University of Liverpool:
"The Liverpool Lung Project (LLP) has been active since 1997 with participants providing informed consent to their involvement. This observational study investigates differences between those diagnosed with lung cancer and control subjects without lung cancer, or between different lung cancers, to identify opportunities for improving diagnosis or treatment.
"The LLP is one of the largest prospective lung cancer case-control and population cohort studies in Europe.
"The primary objective of the LLP is to create risk models for lung cancer and identify risk models or “biomarkers” that inform the risk of lung cancer, provide opportunities for early diagnosis, or give information on disease prognosis. The LLP achieves those objectives through a rolling portfolio of projects which are devised in response to publications and developments in science. It is an evolving process as knowledge and research practices develop (e.g. the integration of new analytical methodologies). The research agenda is ultimately determined by the Chief Investigator in conjunction with collaborative researchers at the University of Liverpool. All projects (under the LLP) are interrelated and within the overarching scope of the LLP. Projects require funding and funding applications typically take between 3 and 6 months. Funding for a project is typically for between 1 and 5 years. New ideas for projects within the LLP arise on a constant basis but the process to lead an idea to a funding grant application typically takes 6 months. As part of that process, proposals are referred to a review group including the Principal Investigator, statistical advisor and peer reviewers, and ethical opinion is obtained."
The following NHS England data will be accessed:
• Hospital Episode Statistics Admitted Patient Care and Outpatients – necessary to provide more detail of cancer diagnostic pathways and treatment, which have a bearing on outcome measures and inform research on potential changes to care pathways influenced by the risk models being researched, and to provide information on co-morbidities (illness arising alongside lung cancer) and predisposing illness (e.g. respiratory diseases that has shown contribute to lung cancer risk) which informs both risk model and allows the LLP to correct outcome measures for confounding factors
• Hospital Episode Statistics for Accident & Emergency were initially obtained, as it is known many lung cancers are diagnosed in this setting, and linked to the epidemiology data already gathered from participants through detailed questionnaires obtained upon recruitment into the study and from their medical notes.;
• Civil Registration Mortality – necessary to identify both lung cancer incidence (within causes of death) and the time from recruitment or treatment until death (all-cause mortality and lung cancer-specific mortality, important measures of health status and outcome);
• Cancer Registration – necessary to identify lung cancer incidence and provide additional information on timing and specific diagnosis of lung cancers (a primary outcome measure of the study) and other cancers (which may be significant confounding factors that must be taken into account during analysis);
• Demographics – necessary to inform the current status of participants (alive, dead or lost to follow-up)
The LLP are no longer requesting HES data relating to emergency care, as all subsequent diagnosis and treatment data will be within the inpatient and outpatient care, and/or included in Cancer Registration and Civil Registration Mortality data.
The level of the data will be:
• Identifiable – necessary to enable linkage of the data with data collected from other sources, including the participants themselves.
Data returned is subsequently linked only via the Member Number (LLP Master Patient Index), as a pseudonymisation key.
The data will be minimised as follows:
• Limited to data for a study cohort of 14,683 participants recruited by the LLP.
Participants were recruited in one of two ways, as a population cohort, or as a hospital cohort. Between 1996 and 2009, the LLP approached over 100,000 people in certain age groups living in certain postcode areas where it was known people were at the highest risk of developing lung cancer and those people were invited to consent to participate. Similar high-risk groups were recruited in the primary care setting from 2005 until 2015. Additionally, the LLP recruited individuals in hospital settings who had been referred with suspected lung cancer or were being treated for lung cancer. Recruitment to the first subset ended in 2015 but recruitment of cancer patients and suspected cancer patients to the ‘case-control’ subset continued.
All 14,683 participants consented to allow access to their medical records. For 11,028, consent also allowed the sharing of their identifying details with NHS England to facilitate data linkage and access. For 3,655, support under Section 251 NHS Act 2006 provides the legal gateway for sharing their identifiers with NHS England.
The University of Liverpool is the data controller as the organisation responsible for ensuring that the data will only be processed for the purpose described above.
The lawful basis for processing personal data under the UK GDPR is:
Article 6(1)(e) - processing is necessary for the performance of a task carried out in the public interest or in the exercise of official
authority vested in the controller;
The lawful basis for processing special category data under the UK GDPR is:
Article 9(2)(j) - processing is necessary for archiving purposes in the public interest, scientific or historical research purposes or statistical purposes in accordance with Article 89(1) based on Union or Member State law which shall be proportionate to the aim pursued, respect the essence of the right to data protection and provide for suitable and specific measures to safeguard the fundamental rights and the interests of the data subject.
This processing is in the public interest because it adheres to the UK Policy Framework for Health and Social Care Research and aims to improve understanding of disease and opportunities for improved treatment resulting in lives saved and improved health.
The funding is provided by multiple organisations (research charities and government agencies, including international bodies). Their role is to provide funding for the research to the University of Liverpool (and collaborating research centres); they also support and encourage adherence to the highest standards of governance, public dissemination of results and scientific rigour. Research staff at the University take part in collaborations with research partners, some of which are from commercial organisations (e.g. Biotech of Pharmaceutical companies) and those organisations may provide grants to fund University staff or cover costs associated with provision of samples for joint analysis and publication.
Individuals from the Liverpool Heart & Chest Hospital, Clatterbridge Cancer Centre and Aintree University Hospitals NHS Foundation Trust are core collaborators in the LLP. Their roles are limited to providing additional data and information to the LLP during recruitment or from case note review. If the data collected provide under this Agreement indicates something of note, the University of Liverpool may request the appropriate clinical partner to undertake additional case review. A collaborator from the Wolfson Institute of Preventive Medicine acts in an advisory role on statistical modelling, but does not require access to the primary confidential patient information under this Agreement to do this. None of those individuals have access to the data under this Agreement.
Public and Patient Engagement for the LLP included representation during study design (contributing to the ethically approved protocol) including consideration of patient confidentiality. Ongoing engagement includes representation on local research groups and funding bodies.
Expected output
The expected outputs of the processing will be:
• Reports for grant awarding bodies will be produced. This will include reports in support of additional funding applications for further analysis, ensuring maximum utility and benefit from the data provided.
• Submissions to peer reviewed internationally renowned oncology, epidemiology and public health journals
• Presentations at major cancer conferences including the World Conference on Lung Cancer, the American Association for Cancer Research Annual Meeting and the National Cancer Research Institute Annual Meeting
The outputs will not contain NHS England data and will only contain aggregated information with small numbers suppressed as appropriate in line with the relevant disclosure rules for the dataset(s) from which the information was derived.
1. How will the outputs be disseminated or otherwise communicated to relevant recipients?
• The outputs will be communicated to relevant recipients through the following dissemination channels: Journals
• Workshops involving the wider scientific community (as part of conferences)
• Webinars open to members of the University of Liverpool
• Social media (through University and funding body press offices)
• Public reports (e.g. of funding bodies)
• Direct bilateral engagement with research sponsors (e.g. the Roy Castle Lung Cancer Foundation), charitable donors to supporting charities (including participants and family members), interested members of the public, during the course of open days or laboratory visits.
• Co-hosted events, including laboratory tours and charity functions
• Public events, e.g. University public engagement events, open days or laboratory tours
• Posters displayed at scientific conferences and subsequently within the University department
• Patient Information leaflets available at recruitment sites.
• Press/media engagement
• Public promotion of the research, via our own web-pages and those of supporting charities.
• Reports aimed at funding bodies
Outputs are produced and disseminated on an ongoing basis. Current plans include:
• Papers on genetic risk of lung cancer are currently submitted or in the process of being submitted as part of a multinational collaboration (multiple, ongoing throughout 2023).
• A paper on the relationship between lung cancer risk and radon exposure and will be submitted early 2023.
• LLP risk score linked to a consumer classification for marketing, in order to investigate the best way to contact different risk groups; a publication is currently being prepared (2023).
• Plasma Tumour Markers with diagnostic potential have been tested in lung cancer cases and controls in order to determine their potential utility in early detection. A report to the funding body will be prepared (spring 2023) prior to potential presentation at suitable research conference (mid 2023) and submission for peer-reviewed publication (mid 2023).
• An investigation of plasma protein markers of lung cancer risk has been performed, with a patent application submitted summer 2022. A paper for a peer reviewed journal is in preparation (for submission early 2023). Conference presentation and press-release are likely to follow the journal publication (2023).
• Further, similar outputs are planned for other aspects of the same risk biomarker project (2023 onwards).
A press-release will be used to inform the wider public of the journal articles when they are published and an update on our web-page made at the same time.
Benefits reported
The Liverpool Lung Project has utilised data from NHS England to develop and validate the LLP risk model. This has been used in the UKLS lung cancer screening trial to identify a cohort of high risk individuals and half of these underwent low dose CT screening, identifying a number of lung cancer (notably the majority of which were early stage an underwent potentially curative surgery).
Similarly the risk model is being used in the Liverpool Healthy Lung Project to identify potential cancer patients in a community setting and has been adopted by similar regional trials and implementation projects. For example, the Liverpool Healthy Lung Check programme, utilised the LLP risk model to identify individuals for LDCT cancer detection. Having scanned 6826 high-risk patients (who would not otherwise have been referred for lung cancer diagnosis), 126 lung cancers were identified; notably most (67%) were early stage disease and suitable for surgery.
Of note, the NHS is funding a NHS Targeted Lung Health Check programme that will use the LLP risk score as part of identification of individuals for a low-dose CT lung cancer screen.
Other yielded benefits include a wide range of publications that have contributed to improved understanding of lung cancer and identified potential biomarkers. These outputs and benefits clearly address the primary aim and support the legitimate interest in utility of NHS England data.
The Liverpool Lung Project has contributed to over 160 research publication, including 40 since 2019.
As mentioned above, the area that has made the largest impact thus far is the LLP lung cancer risk score, used to identify those most likely to benefit from early detection (e.g. lung cancer screening): first published in 2008.
The LLP have now identified a lung cancer mortality reduction by low-dose CT screening in the UKLS lung cancer screening study that is of a similar magnitude as that seen for larger US and European studies and utilised the UKLS data in a meta-analysis of CT screening trials, demonstrating significant long-term gains in lung cancer mortality reduction. Furthermore, the lung cancer-related mortality was significantly better in the low-dose CT arm of UKLS than in the control arm. This was achieved in part by LLP's ability to identify those at greatest risk of lung cancer, using the LLP lung cancer risk score, with UKLS being the first randomised control trial to take this risk-based approach to recruitment.
Additional publications have provided insight into other aspects of lung cancer, e.g.:
Genetic risk - LLP contributed to major Genome Wide Association Studies (GWAS) that identified novel genetic variants contributing to an increased risk of lung cancer and more recently, the OncoArray project looking at genetic risk in the largest cross-cancer genetic analysis to date.
These genetic risk biomarkers provide insights into why cancer occurs more frequently in some individuals, potential targets for preventative medicine and may contribute to lung cancer risk prediction to identify individuals for screening.
DNA mutation - As part of the CURELUNG project and the Clinical Lung Cancer Genome Project, Next Generation Sequencing has revealed the mutational profiles of cancers collected as part of LLP and these have been used to help generate new histo-molecular classifications for different types of lung cancer. Mutations identified in these studies not only provide biological insight, but targets for novel personalised medicines.
Epigenetic Biomarkers - A panel of DNA methylation biomarkers has been shown to improve the accuracy lung cancer diagnosis based on bronchial lavage cytology.
A microRNA signature, detectable in small quantities of biopsy material can differentiate between tumour and normal tissue to help identify NSCLC.
A prognostic DNA methylation signature was identified for stage I Non-Small Cell Lung Cancer.
A study of lncRNA in lung cancer indicated frequent dysregulation in Non-small Cell Lung Cancer.
As well as providing specific insights into potential biomarkers for diagnosis, prognosis and targeted therapy, these publications contribute to the wider understanding of the lung cancer process and by comparison, the biology of cancer in general.
DARS-NIC-147982-J7KGV-v5.5 29 February 2020 to 28 February 2021
- Title
- MR1025 - The Roy Castle Lung Cancer Research Programme, Liverpool Lung Project - University of Liverpool
- Commercial
- Yes
- Sublicensing
- No
- Datasets
- 9
- Files released
- 0
Datasets: Cancer Registration Data; Civil Registrations of Death; Demographics; Hospital Episode Statistics Accident and Emergency (HES A and E); Hospital Episode Statistics Admitted Patient Care (HES APC); Hospital Episode Statistics Outpatients (HES OP); MRIS - Cause of Death Report; MRIS - Cohort Event Notification Report; MRIS - Flagging Current Status Report
What changed from DARS-NIC-147982-J7KGV-v4.3
Text removed is struck through; text added is underlined. Unchanged paragraphs are summarised rather than repeated.
| Field | Was | Became |
|---|---|---|
| Start date | 2020-02-29 | |
| End date | 2021-02-28 | |
| Commercial purposes | Yes | |
| Hospital Episode Statistics Accident and Emergency (HES A and E): sensitivity | Sensitive | |
| Hospital Episode Statistics Outpatients (HES OP): legal basis | Health and Social Care Act 2012 – s261(2)(c); Health and Social Care Act 2012 – s261(7); National Health Service Act 2006 - s251 - 'Control of patient information'. |
Datasets: + Cancer Registration Data; + Civil Registrations of Death; + Demographics
Objective for processing
Over the years, the Roy Castle Lung Cancer Research Programme (RCLCRP) has been at the forefront of
ground breaking
research in early detection of lung cancer.
[27 paragraphs unchanged]
As a University using health data for research purposes, “task in the public interest” is the legal basis for processing personal and sensitive information under the General Data Protection Regulations [Article 6 (1) (e)]. As the study is for scientific research purposes, the University also rely on Article 9 (2) (j) of the General Data Protection Regulation.
Processing activities
All organisations party to this agreement must comply with the Data Sharing Framework Contract requirements, including those regarding the use (and purposes of that use) by “Personnel” (as defined within the Data Sharing Framework Contract i.e: employees, agents and contractors of the Data Recipient who may have access to that data). [36 paragraphs unchanged]
Expected output
[4 paragraphs unchanged]
Annual Report(s) for funding body, e.g. The Roy Castle Lung Cancer Foundation (RCLCF) to identify type of research undertaken, recruitment statistics and specific research developments within the funding period. This report is seen by the Roy Castle Lung Cancer Foundation Executive and Scientific Committee and its Trustees to inform policy and quantify the benefit of future funding of the research programme.
[1 paragraph unchanged]
It is anticipated that the analysis from this study will be included in internationally renowned oncology, epidemiology and public health journals. Publications will be prepared for
2017, 2018, 2019
2020
and
2020.
subsequent years.
Journals for consideration will
include;
include:
[11 paragraphs unchanged]
More information on
past
publications can be found on the
study website - http://www.liverpoollungproject.co.uk/publications
on the web-pages of the Principal Investigator, Prof. John Field:
https://www.liverpool.ac.uk/translational-medicine/staff/john-field/publications/
[1 paragraph unchanged]
In accordance with previous years it is expected that presentations will be given at major cancer conferences. These presentations will provide dissemination of results from
ongoing
studies
of LLP Risk Modelling, Methylation, MicroRNA, Sequencing, etc.
primarily to scientific audiences.
[4 paragraphs unchanged]
Results will also be presented to lay audiences at outreach events and during laboratory tours or via web-pages (including University of Liverpool and funding bodies, e.g. Roy Castle Lung Cancer Foundation).
Expected measurable benefits
Lung cancer is the leading cause of cancer-related death in most developed
[10 words unchanged]
prostate cancer combined. The benefits of this research are linked clearly to
it's aims,
its aims -
namely to find ways to screen for and diagnose cancer earlier to improve the outcomes for patients.
[4 paragraphs unchanged]
Screening by low dose CT has already been proved to be of benefit and has been adopted in the USA; a UK randomised control trial that utilised the LLP risk score that has come directly from their use of NHS health data. One of
One of the benefits of using a risk-based approach is in cost-saving by improved targeting of screening to those most likely to benefit. Further analysis of trials is ongoing to provide evidence for mortality improvement, but regional initiatives are already adopting the LLP risk score and delivering early detection opportunities to thousands of individuals.
the benefits of using a risk-based approach is in cost-saving by improved targeting of screening to those most likely to benefit. Further analysis of trials is ongoing to provide evidence for mortality improvement, but regional initiatives are already adopting the LLP risk score and delivering early detection opportunities to thousands of individuals.
[7 paragraphs unchanged]
In order to explain long term benefits to society from cancer research, one needs to consider this as an iterative process, which includes a sequence of events: gene/ protein discovery which impacts on the disease, development of the assays, validation of the assay in a separate population, testing in a clinical trial setting and then developing the biological assay under approved conditions before general release. The number of new diagnostic / treatment modalities successfully proceeding through this sequence is very small, as there are many hurdles. This development chain may fail at any of the above points. The successful development of a new biological biomarker/ treatment intervention process may take anywhere between 10-20 years, before it is ready to be released into the public domain and change clinical practice across England/ Wales. Over the years the LLP has been involved in a number of forefront research areas at several different stages.
The area that has made the largest impact thus far is the LLP lung cancer risk score: first published in 2008 (Cassidy et al., British Journal of Cancer 2008, 98(2):270-6); subject to validation 2012 (Raji et al., Annals of Internal Medicine 2012, 157(4):242-50); used in UKLS (Field et al., Health Technol Assess 2016, 20(40):1-146; Field et al., Thorax 2016, 71(2):161-70), used in local implementation LHLP (Ghimire et al., Lung Cancer 2019, 134:66-71) and has recently been updated to provide more accurate assessment (publication due this year) to be used in NHS Targeted Lung Health Checks.
[1 paragraph unchanged]
1. The University of Liverpool Roy Castle Lung Cancer Research Programme
aim
aims
to utilise bronchial washings and/or sputum and/or blood to develop molecular assays
[61 words unchanged]
lung cancer can be diagnosed the better the outcome for the patient.
[1 paragraph unchanged]
Benefits reported
The Liverpool Lung Project has utilised data from NHS Digital to develop and validate the LLP risk model. This has been used
un
in
the UKLS lung cancer screening trial to identify a cohort of high
[18 words unchanged]
the majority of which were early stage an underwent potentially curative surgery).
Similarly the risk model is being used in the Liverpool Healthy Lung Project to identify potential cancer patients in a community setting and has been adopted by similar trials and implementation projects. Other yielded benefits include a wide range of publications that have contributed to improved understanding of lung cancer and identified potential biomarkers. These outputs and benefits clearly address the primary aim and support the legitimate interest in utility of NHS Digital data.
Similarly the risk model is being used in the Liverpool Healthy Lung Project to identify potential cancer patients in a community setting and has been adopted by similar regional trials and implementation projects.
Of note, the NHS is funding a NHS Lung Health Check programme that will use the LLP risk score as part of identification of individuals for a low-dose CT lung cancer screen.
Other yielded benefits include a wide range of publications that have contributed to improved understanding of lung cancer and identified potential biomarkers. These outputs and benefits clearly address the primary aim and support the legitimate interest in utility of NHS Digital data.
The Liverpool Lung Project has contributed to over 150 research publication, including 11 during 2019 (Further details in Outputs section).
As mentioned above, the area that has made the largest impact thus far is the LLP lung cancer risk score, used to identify those most likely to benefit from early detection (e.g. lung cancer screening): first published in 2008 (Cassidy et al., British Journal of Cancer 2008, 98(2):270-6); subject to validation 2012 (Raji et al., Annals of Internal Medicine 2012, 157(4):242-50); used in UKLS (Field et al., Health Technol Assess 2016, 20(40):1-146; Field et al., Thorax 2016, 71(2):161-70), used in local implementation LHLP (Ghimire et al., Lung Cancer 2019, 134:66-71) and has recently been updated to provide more accurate assessment (publication due this year) to be used in NHS Targeted Lung Health Checks.
Additional publications have provided insight into other aspects of lung cancer, e.g.:
Genetic risk - LLP contributed to major Genome Wide Association Studies (GWAS) that identified novel genetic variants contributing to an increased risk of lung cancer (McKay et al., Nature Genetics 2008, 40(12), 1404-1406) and more recently, the OncoArray project looking at genetic risk in the largest cross-cancer genetic analysis to date (McKay et al., Nature Genetics 2017, 49(7):1126-1132 ). These genetic risk biomarkers provide insights into why cancer occurs more frequently in some individuals, potential targets for preventative medicine and may contribute to lung cancer risk prediction to identify individuals for screening.
DNA mutation - As part of the CURELUNG project and the Clinical Lung Cancer Genome Project, Next Generation Sequencing has revealed the mutational profiles of cancers collected as part of LLP and these have been used to help generate new histo-molecular classifications for different types of lung cancer (Fernandez-Cuesta et al., Nature Communications 2014, 5:3518 , Clinical Lung Cancer Genome Project & Network Genomic Medicine, Science Translational Medicine 2013, 5(209):209ra153). Mutations identified in these studies not only provide biological insight, but targets for novel personalised medicines.
Epigenetic Biomarkers - A panel of DNA methylation biomarkers has been shown to improve the accuracy lung cancer diagnosis based on bronchial lavage cytology (Nikolaidis et al., Cancer Research 2012, 72(22):5692-5701).
A microRNA signature, detectable in small quantities of biopsy material can differentiate between tumour and normal tissue to help identify NSCLC (Bediaga et al., British Journal of Cancer 2013, 109(9):2404-2411).
A prognostic DNA methylation signature was identified for stage I Non-Small Cell Lung Cancer (Sandoval et al., Journal of Clinical Oncology 2013, 31(32):4140-4147)
A study of lncRNA in lung cancer indicated frequent dysregulationin Non-small Cell Lung Cancer (Acha-Sagredo et al., British Journal of Cancer 2020, 122(7):1050-1058)
As well as providing specific insights into potential biomarkers for diagnosis, prognosis and targeted therapy, these publications contribute to the wider understanding of the lung cancer process and by comparison, the biology of cancer in general.
Objective for processing
Over the years, the Roy Castle Lung Cancer Research Programme (RCLCRP) has been at the forefront of research in early detection of lung cancer.
The RCLCRP’s Liverpool Lung Project (LLP) is a large, prospective, population-based study of lung cancer, together with a case-control cohort collecting data and samples from diagnostic and surgical patients.
The University of Liverpool requires follow-up data for the Liverpool Lung Project, a longitudinal observational study aimed at identification of risk factors and biomarkers that will allow improved early detection and treatment of lung cancer and respiratory disease. Hence it is a task in the public interest, leading to improved understanding of disease and opportunities for improved treatment resulting in lives saved and improved health.
The University of Liverpool is the sole Data Controller and also processes the data for this study. No other organisations process the data for this purpose. The study protocol names core collaborators from the Wolfson Institute of Preventive Medicine, Liverpool Heart & Chest Hospital, Clatterbridge Cancer Centre and Aintree University Hospitals NHS Foundation Trust. These individuals do not have any bearing on the data under this Agreement. Their roles are limited to providing data and information to the LLP. If the data collected by the University of Liverpool indicates something of note, the University of Liverpool will request the appropriate clinical partner to undertake a case review. A collaborator from the Wolfson Institute of Preventive Medicine has additionally acting in an advisory role on statistical modelling but has not required access to the data under this Agreement to do this.
The LLP, which is based at the University of Liverpool, includes one of the largest collections of data and samples in the UK and Europe from a population cohort at high risk of lung cancer (approximately 9000 individuals from the Liverpool area, recruited whilst healthy 1996 - 2014). By determining which of these individuals get lung cancer, the LLP can perform scientific studies to integrate risk factors into its ongoing risk prediction modelling research, building on the LLP Lung Cancer Risk Model.
The LLP also includes patients referred for “query lung cancer” investigations and continues to recruit these patients at different times in their diagnostic pathway. In addition, the LLP recruits patients undergoing treatment for lung cancer, predominantly surgical patients. To date the LLP has recruited over 4000 of these diagnostic and surgical patients into its “hospital cohort”, the majority at the Liverpool Heart & Chest Hospital (LHCH).
Samples and data from these patients, together with controls from the population cohort, are primarily used in scientific studies to discover new genetic risk factors and potential biomarkers – i.e. substances that can be measured in samples of blood, sputum or tissue that can tell something useful about the disease.
This may be, for example, differences or changes in a patient’s DNA (mutation or methylation) when detected in biopsy samples or blood, which can potentially indicate the person’s risk of lung cancer, can confirm the presence of lung cancer or indicate what type of lung cancer a person has (which may lead to personalised treatment).
The aims of the LLP are to:
i. determine factors associated with the risk of lung cancer (to help identify ways to select people for screening);
ii. identify better ways to detect lung cancer earlier (to improve diagnosis, which will save lives);
iii. to better understand the biology of lung cancer (leading to potential new therapies);
iv. identify ways of selecting patients for the best current and future treatment;
v. contribute to improving patients' outcome and ultimately save lives.
To this end, a documentation of previous history of diseases is essential for exploring the impact of comorbidity on lung cancer. A rich source of data for exploring the potential role of comorbidity in lung cancer pathogenesis is the Hospital Episode Statistics (HES).
The University of Liverpool requires NHS Digital data to inform the current status (alive/dead) and dates and causes of death; this data specifically informs the prime question of the study, helping to identify both lung cancer incidence (within causes of death) and the time from recruitment or treatment until death (all-cause mortality, an important measure of health status and outcome). This data needs to be provided for specific individuals (by linkage through NHS number with verification by month/year of birth) to allow appropriate data for personal level risk model development and evaluation. As a longitudinal study, it is important to follow as many subjects as possible until death, so the LLP plan to ask for data on all available years (including retention of data already provided and incremental updates). Although the study was based in Liverpool, recruited individuals at local hospitals included those who had travelled from out of area for specialist care and individuals may have moved subsequent to recruitment, therefore all UK data is requested. Alternative methods of assessing mortality status (e.g. re-contacting individuals) would be either more intrusive (likely to cause harm/distress), less informative or incomplete.
NHS Digital will also provide cancer registry data, identifying all cancer diagnosis, with dates (where available). The justification for this is broadly the same as for cause of death, but this data provides additional information on timing and specific diagnosis of lung cancers (a primary outcome measure of the study) and other cancers (which may be significant confounding factors that must be taken into account during analysis). Again, this must be at the individual level, for all dates available and all geographical areas to provide the best dataset of personalised prognostic prediction. Alternative methods (e.g. case-note review) are likely more intrusive, less efficient and incomplete.
Health Episode Statistics (HES) for inpatient and outpatient care data is required to provide more detail of cancer diagnostic pathways and treatment, which have a bearing on outcome measures and informs research on potential changes to care pathways influenced by the risk models being researched. However, the main reason for accessing this data is that information is provided on co-morbidities (illness arising alongside lung cancer) and predisposing illness (e.g. respiratory diseases that has shown contribute to lung cancer risk); this data will help inform both risk model and allow the LLP to correct outcome measures for confounding factors. The same considerations on individualised data, data timing, geographical spread and alternative methods apply.
Data requirements have been limited to those health-related events that directly impact the aims of the study and address the public interest justification. The LLP has collected patient identifying information used for linkage directly from subjects; for quality assurance purposes, they ask that NHS number, name, DoB, gender and postcode are returned by NHS Digital (to ensure unequivocal matching). Data returned is subsequently linked only via the Member Number (LLP Master Patient Index), as a pseudonymisation key.
The LLP previously obtained the HES data (inpatient, outpatient and emergency care) of consented participants from NHS Digital and linked this to the epidemiology data already gathered from the participant through detailed questionnaires obtained upon recruitment into the study and from their medical notes.
The LLP are no longer requesting HES data relating to emergency care, as all subsequent diagnosis and treatment data will be within the inpatient and outpatient care.
In addition, all information gathered is linked to the mortality data obtained from NHS Digital to study the mortality patterns of participants in the LLP.
Data obtained from Cancer Registries via NHS Digital is also linked to such participants in order to record date of cancer incidence and type of cancer.
The study investigators are not aware of any moral or ethical issues raised by the proposed dissemination of NHS Digital data to the University of Liverpool, nor the dissemination of the aggregated study results to the wider public. The study investigators are unaware of any risk of potential harm to the public by the dissemination. The potential for harm has been assessed by University of Liverpool (Data Protection and Study Sponsor), by NRES ethical approval and by the Confidentiality Advisory Group (CAG).
Safeguards are in place that protect the interests of the data subject, these have been judged as proportional to the substantial public interest, including approval by CAG under section 251 of the NHS Act 2006 (which together with informed consent also safeguards the common law duty of confidentiality). Safeguards include physical and operational barriers protecting privacy and allowing processing of personal identifying and sensitive data only by staff contractually obliged to fulfil the requirements set out by the University of Liverpool Data Protection Policy, compliant with all laws and approvals.
Processing activity and storage of personal and sensitive (special category) data is limited according to best practice (both in terms of scope and timing), but recognising that longitudinal studies require long-term data linkage and that research studies require anonymised and pseudonymised data to be available for a significant amount of time. These issues have been explained to participants during informed consent and are covered in a publicly accessible Privacy Notice.
The research project is part of a wider international effort to address the critical issue of earlier detection of lung cancer, required to address the single largest cause of cancer-related mortality. As such, the University of Liverpool share processed data with other research groups, but do so in a controlled way, bound by Data Sharing Agreements that confer the same level of adherence to protecting the rights of individuals involved in research and specifically covered by informed consent of subjects. All such data shared is either aggregate (as in publication), anonymous, or pseudonymised (such that additional data provided by the collaboration can be added to the sum of knowledge about subjects within the LLP, but not allowing others to link data and risk re-identification – this includes measures to suppress rare events).
The work undertaken by the LLP is funded by multiple organisations (research charities and government agencies, including international bodies). Their role is to provide funding for the research to the University of Liverpool (and collaborating research centres); they also support and encourage adherence to the highest standards of governance, public dissemination of results and scientific rigour.
As a University using health data for research purposes, “task in the public interest” is the legal basis for processing personal and sensitive information under the General Data Protection Regulations [Article 6 (1) (e)]. As the study is for scientific research purposes, the University also rely on Article 9 (2) (j) of the General Data Protection Regulation.
Expected output
All outputs are aggregate with small number suppressed in line with the HES analysis guide.
Outputs will include;
1. Reports:
Reports for grant awarding bodies will be produced. This will include reports in support of additional funding applications for further analysis, ensuring maximum utility and benefit from the data provided.
2. Publications:
It is anticipated that the analysis from this study will be included in internationally renowned oncology, epidemiology and public health journals. Publications will be prepared for 2020 and subsequent years. Journals for consideration will include:
Thorax
Journal of Thoracic Oncology
Lung Cancer
British Journal of Cancer
Cancer epidemiology, biomarkers & prevention
Scientific Reports
Oncology Letters
Nature Genetics
Nature Communications
Lancet
Lancet Oncology
More information on publications can be found on the on the web-pages of the Principal Investigator, Prof. John Field:
https://www.liverpool.ac.uk/translational-medicine/staff/john-field/publications/
3. Presentations:
In accordance with previous years it is expected that presentations will be given at major cancer conferences. These presentations will provide dissemination of results from studies primarily to scientific audiences.
Conferences are expected to include:
World Conference on Lung Cancer
American Association for Cancer Research Annual Meeting
National Cancer Research Institute Annual Meeting
Results will also be presented to lay audiences at outreach events and during laboratory tours or via web-pages (including University of Liverpool and funding bodies, e.g. Roy Castle Lung Cancer Foundation).
Benefits reported
The Liverpool Lung Project has utilised data from NHS Digital to develop and validate the LLP risk model. This has been used in the UKLS lung cancer screening trial to identify a cohort of high risk individuals and half of these underwent low dose CT screening, identifying a number of lung cancer (notably the majority of which were early stage an underwent potentially curative surgery).
Similarly the risk model is being used in the Liverpool Healthy Lung Project to identify potential cancer patients in a community setting and has been adopted by similar regional trials and implementation projects.
Of note, the NHS is funding a NHS Lung Health Check programme that will use the LLP risk score as part of identification of individuals for a low-dose CT lung cancer screen.
Other yielded benefits include a wide range of publications that have contributed to improved understanding of lung cancer and identified potential biomarkers. These outputs and benefits clearly address the primary aim and support the legitimate interest in utility of NHS Digital data.
The Liverpool Lung Project has contributed to over 150 research publication, including 11 during 2019 (Further details in Outputs section).
As mentioned above, the area that has made the largest impact thus far is the LLP lung cancer risk score, used to identify those most likely to benefit from early detection (e.g. lung cancer screening): first published in 2008 (Cassidy et al., British Journal of Cancer 2008, 98(2):270-6); subject to validation 2012 (Raji et al., Annals of Internal Medicine 2012, 157(4):242-50); used in UKLS (Field et al., Health Technol Assess 2016, 20(40):1-146; Field et al., Thorax 2016, 71(2):161-70), used in local implementation LHLP (Ghimire et al., Lung Cancer 2019, 134:66-71) and has recently been updated to provide more accurate assessment (publication due this year) to be used in NHS Targeted Lung Health Checks.
Additional publications have provided insight into other aspects of lung cancer, e.g.:
Genetic risk - LLP contributed to major Genome Wide Association Studies (GWAS) that identified novel genetic variants contributing to an increased risk of lung cancer (McKay et al., Nature Genetics 2008, 40(12), 1404-1406) and more recently, the OncoArray project looking at genetic risk in the largest cross-cancer genetic analysis to date (McKay et al., Nature Genetics 2017, 49(7):1126-1132 ). These genetic risk biomarkers provide insights into why cancer occurs more frequently in some individuals, potential targets for preventative medicine and may contribute to lung cancer risk prediction to identify individuals for screening.
DNA mutation - As part of the CURELUNG project and the Clinical Lung Cancer Genome Project, Next Generation Sequencing has revealed the mutational profiles of cancers collected as part of LLP and these have been used to help generate new histo-molecular classifications for different types of lung cancer (Fernandez-Cuesta et al., Nature Communications 2014, 5:3518 , Clinical Lung Cancer Genome Project & Network Genomic Medicine, Science Translational Medicine 2013, 5(209):209ra153). Mutations identified in these studies not only provide biological insight, but targets for novel personalised medicines.
Epigenetic Biomarkers - A panel of DNA methylation biomarkers has been shown to improve the accuracy lung cancer diagnosis based on bronchial lavage cytology (Nikolaidis et al., Cancer Research 2012, 72(22):5692-5701).
A microRNA signature, detectable in small quantities of biopsy material can differentiate between tumour and normal tissue to help identify NSCLC (Bediaga et al., British Journal of Cancer 2013, 109(9):2404-2411).
A prognostic DNA methylation signature was identified for stage I Non-Small Cell Lung Cancer (Sandoval et al., Journal of Clinical Oncology 2013, 31(32):4140-4147)
A study of lncRNA in lung cancer indicated frequent dysregulationin Non-small Cell Lung Cancer (Acha-Sagredo et al., British Journal of Cancer 2020, 122(7):1050-1058)
As well as providing specific insights into potential biomarkers for diagnosis, prognosis and targeted therapy, these publications contribute to the wider understanding of the lung cancer process and by comparison, the biology of cancer in general.
DARS-NIC-147982-J7KGV-v4.3 1 March 2019 to 28 February 2020
- Title
- MR1025 - The Roy Castle Lung Cancer Research Programme, Liverpool Lung Project - University of Liverpool
- Commercial
- No
- Sublicensing
- No
- Datasets
- 6
- Files released
- 15
Datasets: Hospital Episode Statistics Accident and Emergency (HES A and E); Hospital Episode Statistics Admitted Patient Care (HES APC); Hospital Episode Statistics Outpatients (HES OP); MRIS - Cause of Death Report; MRIS - Cohort Event Notification Report; MRIS - Flagging Current Status Report
Objective for processing
Over the years, the Roy Castle Lung Cancer Research Programme (RCLCRP) has been at the forefront of ground breaking research in early detection of lung cancer.
The RCLCRP’s Liverpool Lung Project (LLP) is a large, prospective, population-based study of lung cancer, together with a case-control cohort collecting data and samples from diagnostic and surgical patients.
The University of Liverpool requires follow-up data for the Liverpool Lung Project, a longitudinal observational study aimed at identification of risk factors and biomarkers that will allow improved early detection and treatment of lung cancer and respiratory disease. Hence it is a task in the public interest, leading to improved understanding of disease and opportunities for improved treatment resulting in lives saved and improved health.
The University of Liverpool is the sole Data Controller and also processes the data for this study. No other organisations process the data for this purpose. The study protocol names core collaborators from the Wolfson Institute of Preventive Medicine, Liverpool Heart & Chest Hospital, Clatterbridge Cancer Centre and Aintree University Hospitals NHS Foundation Trust. These individuals do not have any bearing on the data under this Agreement. Their roles are limited to providing data and information to the LLP. If the data collected by the University of Liverpool indicates something of note, the University of Liverpool will request the appropriate clinical partner to undertake a case review. A collaborator from the Wolfson Institute of Preventive Medicine has additionally acting in an advisory role on statistical modelling but has not required access to the data under this Agreement to do this.
The LLP, which is based at the University of Liverpool, includes one of the largest collections of data and samples in the UK and Europe from a population cohort at high risk of lung cancer (approximately 9000 individuals from the Liverpool area, recruited whilst healthy 1996 - 2014). By determining which of these individuals get lung cancer, the LLP can perform scientific studies to integrate risk factors into its ongoing risk prediction modelling research, building on the LLP Lung Cancer Risk Model.
The LLP also includes patients referred for “query lung cancer” investigations and continues to recruit these patients at different times in their diagnostic pathway. In addition, the LLP recruits patients undergoing treatment for lung cancer, predominantly surgical patients. To date the LLP has recruited over 4000 of these diagnostic and surgical patients into its “hospital cohort”, the majority at the Liverpool Heart & Chest Hospital (LHCH).
Samples and data from these patients, together with controls from the population cohort, are primarily used in scientific studies to discover new genetic risk factors and potential biomarkers – i.e. substances that can be measured in samples of blood, sputum or tissue that can tell something useful about the disease.
This may be, for example, differences or changes in a patient’s DNA (mutation or methylation) when detected in biopsy samples or blood, which can potentially indicate the person’s risk of lung cancer, can confirm the presence of lung cancer or indicate what type of lung cancer a person has (which may lead to personalised treatment).
The aims of the LLP are to:
i. determine factors associated with the risk of lung cancer (to help identify ways to select people for screening);
ii. identify better ways to detect lung cancer earlier (to improve diagnosis, which will save lives);
iii. to better understand the biology of lung cancer (leading to potential new therapies);
iv. identify ways of selecting patients for the best current and future treatment;
v. contribute to improving patients' outcome and ultimately save lives.
To this end, a documentation of previous history of diseases is essential for exploring the impact of comorbidity on lung cancer. A rich source of data for exploring the potential role of comorbidity in lung cancer pathogenesis is the Hospital Episode Statistics (HES).
The University of Liverpool requires NHS Digital data to inform the current status (alive/dead) and dates and causes of death; this data specifically informs the prime question of the study, helping to identify both lung cancer incidence (within causes of death) and the time from recruitment or treatment until death (all-cause mortality, an important measure of health status and outcome). This data needs to be provided for specific individuals (by linkage through NHS number with verification by month/year of birth) to allow appropriate data for personal level risk model development and evaluation. As a longitudinal study, it is important to follow as many subjects as possible until death, so the LLP plan to ask for data on all available years (including retention of data already provided and incremental updates). Although the study was based in Liverpool, recruited individuals at local hospitals included those who had travelled from out of area for specialist care and individuals may have moved subsequent to recruitment, therefore all UK data is requested. Alternative methods of assessing mortality status (e.g. re-contacting individuals) would be either more intrusive (likely to cause harm/distress), less informative or incomplete.
NHS Digital will also provide cancer registry data, identifying all cancer diagnosis, with dates (where available). The justification for this is broadly the same as for cause of death, but this data provides additional information on timing and specific diagnosis of lung cancers (a primary outcome measure of the study) and other cancers (which may be significant confounding factors that must be taken into account during analysis). Again, this must be at the individual level, for all dates available and all geographical areas to provide the best dataset of personalised prognostic prediction. Alternative methods (e.g. case-note review) are likely more intrusive, less efficient and incomplete.
Health Episode Statistics (HES) for inpatient and outpatient care data is required to provide more detail of cancer diagnostic pathways and treatment, which have a bearing on outcome measures and informs research on potential changes to care pathways influenced by the risk models being researched. However, the main reason for accessing this data is that information is provided on co-morbidities (illness arising alongside lung cancer) and predisposing illness (e.g. respiratory diseases that has shown contribute to lung cancer risk); this data will help inform both risk model and allow the LLP to correct outcome measures for confounding factors. The same considerations on individualised data, data timing, geographical spread and alternative methods apply.
Data requirements have been limited to those health-related events that directly impact the aims of the study and address the public interest justification. The LLP has collected patient identifying information used for linkage directly from subjects; for quality assurance purposes, they ask that NHS number, name, DoB, gender and postcode are returned by NHS Digital (to ensure unequivocal matching). Data returned is subsequently linked only via the Member Number (LLP Master Patient Index), as a pseudonymisation key.
The LLP previously obtained the HES data (inpatient, outpatient and emergency care) of consented participants from NHS Digital and linked this to the epidemiology data already gathered from the participant through detailed questionnaires obtained upon recruitment into the study and from their medical notes.
The LLP are no longer requesting HES data relating to emergency care, as all subsequent diagnosis and treatment data will be within the inpatient and outpatient care.
In addition, all information gathered is linked to the mortality data obtained from NHS Digital to study the mortality patterns of participants in the LLP.
Data obtained from Cancer Registries via NHS Digital is also linked to such participants in order to record date of cancer incidence and type of cancer.
The study investigators are not aware of any moral or ethical issues raised by the proposed dissemination of NHS Digital data to the University of Liverpool, nor the dissemination of the aggregated study results to the wider public. The study investigators are unaware of any risk of potential harm to the public by the dissemination. The potential for harm has been assessed by University of Liverpool (Data Protection and Study Sponsor), by NRES ethical approval and by the Confidentiality Advisory Group (CAG).
Safeguards are in place that protect the interests of the data subject, these have been judged as proportional to the substantial public interest, including approval by CAG under section 251 of the NHS Act 2006 (which together with informed consent also safeguards the common law duty of confidentiality). Safeguards include physical and operational barriers protecting privacy and allowing processing of personal identifying and sensitive data only by staff contractually obliged to fulfil the requirements set out by the University of Liverpool Data Protection Policy, compliant with all laws and approvals.
Processing activity and storage of personal and sensitive (special category) data is limited according to best practice (both in terms of scope and timing), but recognising that longitudinal studies require long-term data linkage and that research studies require anonymised and pseudonymised data to be available for a significant amount of time. These issues have been explained to participants during informed consent and are covered in a publicly accessible Privacy Notice.
The research project is part of a wider international effort to address the critical issue of earlier detection of lung cancer, required to address the single largest cause of cancer-related mortality. As such, the University of Liverpool share processed data with other research groups, but do so in a controlled way, bound by Data Sharing Agreements that confer the same level of adherence to protecting the rights of individuals involved in research and specifically covered by informed consent of subjects. All such data shared is either aggregate (as in publication), anonymous, or pseudonymised (such that additional data provided by the collaboration can be added to the sum of knowledge about subjects within the LLP, but not allowing others to link data and risk re-identification – this includes measures to suppress rare events).
The work undertaken by the LLP is funded by multiple organisations (research charities and government agencies, including international bodies). Their role is to provide funding for the research to the University of Liverpool (and collaborating research centres); they also support and encourage adherence to the highest standards of governance, public dissemination of results and scientific rigour.
Expected output
All outputs are aggregate with small number suppressed in line with the HES analysis guide.
Outputs will include;
1. Reports:
Reports for grant awarding bodies will be produced. This will include reports in support of additional funding applications for further analysis, ensuring maximum utility and benefit from the data provided.
Annual Report(s) for funding body, e.g. The Roy Castle Lung Cancer Foundation (RCLCF) to identify type of research undertaken, recruitment statistics and specific research developments within the funding period. This report is seen by the Roy Castle Lung Cancer Foundation Executive and Scientific Committee and its Trustees to inform policy and quantify the benefit of future funding of the research programme.
2. Publications:
It is anticipated that the analysis from this study will be included in internationally renowned oncology, epidemiology and public health journals. Publications will be prepared for 2017, 2018, 2019 and 2020. Journals for consideration will include;
Thorax
Journal of Thoracic Oncology
Lung Cancer
British Journal of Cancer
Cancer epidemiology, biomarkers & prevention
Scientific Reports
Oncology Letters
Nature Genetics
Nature Communications
Lancet
Lancet Oncology
More information on past publications can be found on the study website - http://www.liverpoollungproject.co.uk/publications
3. Presentations:
In accordance with previous years it is expected that presentations will be given at major cancer conferences. These presentations will provide dissemination of results from ongoing studies of LLP Risk Modelling, Methylation, MicroRNA, Sequencing, etc.
Conferences are expected to include:
World Conference on Lung Cancer
American Association for Cancer Research Annual Meeting
National Cancer Research Institute Annual Meeting
Benefits reported
The Liverpool Lung Project has utilised data from NHS Digital to develop and validate the LLP risk model. This has been used un the UKLS lung cancer screening trial to identify a cohort of high risk individuals and half of these underwent low dose CT screening, identifying a number of lung cancer (notably the majority of which were early stage an underwent potentially curative surgery). Similarly the risk model is being used in the Liverpool Healthy Lung Project to identify potential cancer patients in a community setting and has been adopted by similar trials and implementation projects. Other yielded benefits include a wide range of publications that have contributed to improved understanding of lung cancer and identified potential biomarkers. These outputs and benefits clearly address the primary aim and support the legitimate interest in utility of NHS Digital data.
Register history
When this agreement appeared in, or was edited in, each monthly edition of the register. Built by comparing every edition this site holds, the earliest of which is July 2021.
-
July 2021 —
already listed in the earliest edition this site holds, so it may be older. 2 versions: DARS-NIC-147982-J7KGV-v4.3, DARS-NIC-147982-J7KGV-v5.5
-
May 2023
1 version added: DARS-NIC-147982-J7KGV-v6.13
-
July 2024
1 version added: DARS-NIC-147982-J7KGV-v7.2
-
June 2025
1 version added: DARS-NIC-147982-J7KGV-v8.4
-
February 2026
1 version added: DARS-NIC-147982-J7KGV-v9.2
Cite this page
NHS England (2026) Data Uses Register, September 2026 edition, agreement DARS-NIC-147982-J7KGV, “The Roy Castle Lung Cancer Research Programme, Liverpool Lung Project - University of Liverpool”. Read via NHS Data Access Explorer (unofficial), https://healthdatauses.uk/agreements/dars-nic-147982-j7kgv/ (accessed [date]).
This address stays the same, but the page is rebuilt with each monthly edition, so the citation names the edition it shows. Every edition's data is kept in the facts store.
Source: datausesregister_september2026.xlsx, September 2026 edition of the NHS England Data Uses Register. Search that workbook for DARS-NIC-147982-J7KGV to see the original rows.