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Utility of polygenic risk scores in UK cancer screening: a modelling analysis.

Huntley, C; Torr, B; Sud, A; Rowlands, CF; Way, R; Snape, K; Hanson, H; Swanton, C; Broggio, J; Lucassen, A; et al. Huntley, C; Torr, B; Sud, A; Rowlands, CF; Way, R; Snape, K; Hanson, H; Swanton, C; Broggio, J; Lucassen, A; McCartney, M; Houlston, RS; Hingorani, AD; Jones, ME; Turnbull, C (2023) Utility of polygenic risk scores in UK cancer screening: a modelling analysis. Lancet Oncol, 24 (6). pp. 658-668. ISSN 1474-5488 https://doi.org/10.1016/S1470-2045(23)00156-0
SGUL Authors: Snape, Katie Mairwen Greenwood

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Abstract

BACKGROUND: 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.

Item Type: Article
Additional Information: Copyright © 2023 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.
Keywords: Male, Humans, Testicular Neoplasms, Early Detection of Cancer, Risk Factors, Breast Neoplasms, Prostatic Neoplasms, Colorectal Neoplasms, United Kingdom, Genetic Predisposition to Disease, Humans, Breast Neoplasms, Colorectal Neoplasms, Testicular Neoplasms, Prostatic Neoplasms, Genetic Predisposition to Disease, Risk Factors, Male, Early Detection of Cancer, United Kingdom, 1112 Oncology and Carcinogenesis, Oncology & Carcinogenesis
SGUL Research Institute / Research Centre: Academic Structure > Institute of Medical & Biomedical Education (IMBE)
Journal or Publication Title: Lancet Oncol
ISSN: 1474-5488
Language: eng
Dates:
DateEvent
31 May 2023Published
10 May 2023Published Online
30 March 2023Accepted
Publisher License: Creative Commons: Attribution 4.0
Projects:
Project IDFunderFunder ID
203924/Z/16/ZWellcome Trusthttp://dx.doi.org/10.13039/100004440
C1298/A8362Cancer Research UKhttp://dx.doi.org/10.13039/501100000289
214388Wellcome Trusthttp://dx.doi.org/10.13039/100004440
UNSPECIFIEDDepartment of Healthhttp://dx.doi.org/10.13039/501100000276
C8620/A8372Cancer Research UKhttp://dx.doi.org/10.13039/501100000289
PubMed ID: 37178708
Web of Science ID: WOS:001029670700001
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/115707
Publisher's version: https://doi.org/10.1016/S1470-2045(23)00156-0

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