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

被引:34
|
作者
Huntley, Catherine [1 ,2 ]
Torr, Bethany [1 ]
Sud, Amit [1 ,3 ]
Rowlands, Charlie F. [1 ]
Way, Rosalind [1 ]
Snape, Katie [4 ,5 ]
Hanson, Helen [1 ,5 ]
Swanton, Charles [6 ,7 ]
Broggio, John [2 ]
Lucassen, Anneke [8 ,9 ]
McCartney, Margaret [10 ]
Houlston, Richard S. [1 ,11 ]
Hingorani, Aroon D. [12 ,13 ,14 ,15 ]
Jones, Michael E. [1 ]
Turnbull, Clare [1 ,2 ,11 ,16 ]
机构
[1] Inst Canc Res, Div Genet & Epidemiol, London, England
[2] Natl Hlth Serv NHS England, Natl Canc Registrat & Anal Serv, London, England
[3] Royal Marsden Hosp NHS Fdn Trust, Haemato Oncol Unit, Sutton, England
[4] St Georges Univ London, London, England
[5] St George Hosp, South West Thames Reg Genet Serv, London, England
[6] Francis Crick Inst, Canc Evolut & Genome Instabil Lab, London, England
[7] UCL, Canc Evolut & Genome Instabil Lab, Canc Inst, London, England
[8] Univ Oxford, Wellcome Ctr Human Genet, Oxford, England
[9] Univ Oxford, Ctr Personalised Med, Oxford, England
[10] Univ St Andrews, Sch Med, Populat & Behav Sci Div, St Andrews, Scotland
[11] Royal Marsden NHS Fdn Trust, Canc Genet Unit, London, England
[12] UCL, British Heart Fdn Res Accelerator Ctr, London, England
[13] Hlth Data Res UK, London, England
[14] UCL, Natl Inst Hlth Res, Biomed Res Ctr, Fac Populat Hlth, London, England
[15] UCL, Inst Cardiovasc Sci, Fac Populat Hlth, London, England
[16] Inst Canc Res, Div Genet & Epidemiol, London SM2 5NG, England
来源
LANCET ONCOLOGY | 2023年 / 24卷 / 06期
基金
英国惠康基金;
关键词
BREAST-CANCER; PERFORMANCE; OVARIAN;
D O I
10.1016/S1470-2045(23)00156-0
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
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.Copyright & COPY; 2023 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.
引用
收藏
页码:658 / 668
页数:11
相关论文
共 50 条
  • [1] Polygenic Risk Scores in Prostate Cancer Risk Assessment and Screening
    Byrne, Lindsey
    Toland, Amanda Ewart
    UROLOGIC CLINICS OF NORTH AMERICA, 2021, 48 (03) : 387 - 399
  • [2] Towards clinical utility of polygenic risk scores
    Lambert, Samuel A.
    Abraham, Gad
    Inouye, Michael
    HUMAN MOLECULAR GENETICS, 2019, 28 (R2) : R133 - R142
  • [3] The personal and clinical utility of polygenic risk scores
    Torkamani, Ali
    Wineinger, Nathan E.
    Topol, Eric J.
    NATURE REVIEWS GENETICS, 2018, 19 (09) : 581 - 590
  • [4] The personal and clinical utility of polygenic risk scores
    Ali Torkamani
    Nathan E. Wineinger
    Eric J. Topol
    Nature Reviews Genetics, 2018, 19 : 581 - 590
  • [5] Polygenic scores and cancer risk
    Jordan, Bertrand
    M S-MEDECINE SCIENCES, 2020, 36 (05): : 535 - 537
  • [6] Evaluating the utility of screening human IVF embryos with polygenic risk scores for complex diseases
    Carmi, S.
    Backenroth, D.
    Green, A.
    Weissbrod, O.
    Zuk, O.
    Lencz, T.
    HUMAN REPRODUCTION, 2021, 36 : 64 - 65
  • [7] Polygenic risk scores and prostate cancer screening: a recipe for more overdiagnosis?
    Klein, Robert J.
    BJU INTERNATIONAL, 2022, 129 (03) : 271 - 271
  • [8] Risk Stratification and Clinical Utility of Polygenic Risk Scores in Ophthalmology
    Qassim, Ayub
    Souzeau, Emmanuelle
    Hollitt, Georgie
    Hassall, Mark M.
    Siggs, Owen M.
    Craig, Jamie E.
    TRANSLATIONAL VISION SCIENCE & TECHNOLOGY, 2021, 10 (06):
  • [9] Polygenic risk scores for genomics and population screening
    Perrott, Sarah L.
    Kar, Siddhartha P.
    LANCET, 2024, 404 (10456): : 935 - 936
  • [10] Assessing the Current Clinical Utility of Polygenic Risk Scores
    Ramos, Paola
    CLINICAL CHEMISTRY, 2023, 69 (09) : 1094 - 1094