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dc.contributor.authorHuntley, C
dc.contributor.authorTorr, B
dc.contributor.authorSud, A
dc.contributor.authorRowlands, CF
dc.contributor.authorWay, R
dc.contributor.authorSnape, K
dc.contributor.authorHanson, H
dc.contributor.authorSwanton, C
dc.contributor.authorBroggio, J
dc.contributor.authorLucassen, A
dc.contributor.authorMcCartney, M
dc.contributor.authorHoulston, RS
dc.contributor.authorHingorani, AD
dc.contributor.authorJones, ME
dc.contributor.authorTurnbull, C
dc.coverage.spatialEngland
dc.date.accessioned2023-05-24T15:04:29Z
dc.date.available2023-05-24T15:04:29Z
dc.date.issued2023-05-10
dc.identifierS1470-2045(23)00156-0
dc.identifier.citationThe Lancet Oncology, 2023,
dc.identifier.issn1470-2045
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/5801
dc.identifier.eissn1474-5488
dc.identifier.eissn1474-5488
dc.identifier.doi10.1016/S1470-2045(23)00156-0
dc.description.abstractBACKGROUND: It is proposed that, through restriction to individuals delineated as high risk, polygenic risk scores (PRSs) might enable more efficient targeting of existing cancer screening programmes and enable extension into new age ranges and disease types. To address this proposition, we present an overview of the performance of PRS tools (ie, models and sets of single nucleotide polymorphisms) alongside harms and benefits of PRS-stratified cancer screening for eight example cancers (breast, prostate, colorectal, pancreas, ovary, kidney, lung, and testicular cancer). METHODS: For this modelling analysis, we used age-stratified cancer incidences for the UK population from the National Cancer Registration Dataset (2016-18) and published estimates of the area under the receiver operating characteristic curve for current, future, and optimised PRS for each of the eight cancer types. For each of five PRS-defined high-risk quantiles (ie, the top 50%, 20%, 10%, 5%, and 1%) and according to each of the three PRS tools (ie, current, future, and optimised) for the eight cancers, we calculated the relative proportion of cancers arising, the odds ratios of a cancer arising compared with the UK population average, and the lifetime cancer risk. We examined maximal attainable rates of cancer detection by age stratum from combining PRS-based stratification with cancer screening tools and modelled the maximal impact on cancer-specific survival of hypothetical new UK programmes of PRS-stratified screening. FINDINGS: The PRS-defined high-risk quintile (20%) of the population was estimated to capture 37% of breast cancer cases, 46% of prostate cancer cases, 34% of colorectal cancer cases, 29% of pancreatic cancer cases, 26% of ovarian cancer cases, 22% of renal cancer cases, 26% of lung cancer cases, and 47% of testicular cancer cases. Extending UK screening programmes to a PRS-defined high-risk quintile including people aged 40-49 years for breast cancer, 50-59 years for colorectal cancer, and 60-69 years for prostate cancer has the potential to avert, respectively, a maximum of 102, 188, and 158 deaths annually. Unstratified screening of the full population aged 48-49 years for breast cancer, 58-59 years for colorectal cancer, and 68-69 years for prostate cancer would use equivalent resources and avert, respectively, an estimated maximum of 80, 155, and 95 deaths annually. These maximal modelled numbers will be substantially attenuated by incomplete population uptake of PRS profiling and cancer screening, interval cancers, non-European ancestry, and other factors. INTERPRETATION: Under favourable assumptions, our modelling suggests modest potential efficiency gain in cancer case detection and deaths averted for hypothetical new PRS-stratified screening programmes for breast, prostate, and colorectal cancer. Restriction of screening to high-risk quantiles means many or most incident cancers will arise in those assigned as being low-risk. To quantify real-world clinical impact, costs, and harms, UK-specific cluster-randomised trials are required. FUNDING: The Wellcome Trust.
dc.languageeng
dc.language.isoeng
dc.publisherELSEVIER SCIENCE INC
dc.relation.ispartofThe Lancet Oncology
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleUtility of polygenic risk scores in UK cancer screening: a modelling analysis.
dc.typeJournal Article
dcterms.dateAccepted2023-03-30
dc.date.updated2023-05-24T13:50:20Z
rioxxterms.versionVoR
rioxxterms.versionofrecord10.1016/S1470-2045(23)00156-0
rioxxterms.licenseref.startdate2023-05-10
rioxxterms.typeJournal Article/Review
pubs.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/37178708
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Breast Cancer Research
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Breast Cancer Research/Aetiological Epidemiology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Genetics and Epidemiology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Genetics and Epidemiology/Aetiological Epidemiology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Genetics and Epidemiology/Cancer Genomics
pubs.organisational-group/ICR/Students
pubs.organisational-group/ICR/Students/PhD and MPhil
pubs.organisational-group/ICR/Students/PhD and MPhil/20/21 Starting Cohort
pubs.organisational-group/ICR/Students/PhD and MPhil/21/22 Starting Cohort
pubs.organisational-group/ICR/Students/PhD and MPhil/14/15 Starting Cohort
pubs.publication-statusPublished online
pubs.publisher-urlhttp://dx.doi.org/10.1016/s1470-2045(23)00156-0
icr.researchteamTranslational Genetics
icr.researchteamCancer Genomics
icr.researchteamAetiological Epidemiology
dc.contributor.icrauthorHuntley, Catherine
dc.contributor.icrauthorPemberton - Whiteley, Bethany
dc.contributor.icrauthorSud, Amit
dc.contributor.icrauthorWay, Rosalind April
dc.contributor.icrauthorHoulston, Richard
dc.contributor.icrauthorJones, Michael
dc.contributor.icrauthorTurnbull, Clare
icr.provenanceDeposited by Dr Amit Sud on 2023-05-24. Deposit type is initial. No. of files: 1. Files: PIIS1470204523001560.pdf


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