Prostate cancer risk prediction using a polygenic risk score

被引:0
|
作者
Csilla Sipeky
Kirsi M. Talala
Teuvo L. J. Tammela
Kimmo Taari
Anssi Auvinen
Johanna Schleutker
机构
[1] University of Turku,Institute of Biomedicine
[2] Mass Screening Registry,Finnish Cancer Registry
[3] Tampere University,Department of Urology, Tampere University Hospital and Faculty of Medicine and Health Technology
[4] University of Helsinki and Helsinki University Hospital,Department of Urology
[5] Tampere University,Unit of Health Sciences, Faculty of Social Sciences
[6] Turku University Hospital,Department of Medical Genetics, Genomics, Laboratory Division
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Hereditary factors have a strong influence on prostate cancer (PC) risk and poorer outcomes, thus stratification by genetic factors addresses a critical need for targeted PC screening and risk-adapted follow-up. In this Finnish population-based retrospective study 2283 clinically diagnosed and 455 screen-detected patients from the Finnish Randomised Study of Screening for Prostate Cancer (FinRSPC), 2400 healthy individuals have been involved. Individual genetic risk through establishment of a polygenic risk score based on 55 PC risk SNPs identified through the Finnish subset of the Collaborative Oncological Gene-Environment Study was assessed. Men with PC had significantly higher median polygenic risk score compared to the controls (6.59 vs. 3.83, P < 0.0001). The polygenic risk score above the control median was a significant predictor of PC (OR 2.13, 95% CI 1.90–2.39). The polygenic risk score predicted the risk of PC with an AUC of 0.618 (95% CI 0.60–0.63). Men in the highest polygenic risk score quartile were 2.8—fold (95% CI 2.4–3.30) more likely to develop PC compared with men in the lowest quartile. In the FinRSPC cohort, a significantly higher percentage of men had a PSA level of ≥ 4 ng/mL in polygenic risk score quartile four compared to quartile one (18.7% vs 8.3%, P < 0.00001). Adding the PRS to a PSA-only model contributed additional information in predicting PC in the FinRSPC model. Results strongly suggest that use of the polygenic risk score would facilitate the identification of men at increased risk for PC.
引用
收藏
相关论文
共 50 条
  • [21] Integration of risk factor polygenic risk score with disease polygenic risk score for disease prediction
    Hyein Jung
    Hae-Un Jung
    Eun Ju Baek
    Shin Young Kwon
    Ji-One Kang
    Ji Eun Lim
    Bermseok Oh
    Communications Biology, 7
  • [22] Incorporation of Polygenic Risk Score into Guidelines for Inherited Risk Assessment for Prostate Cancer
    Xu, Jianfeng
    Isaacs, William B.
    EUROPEAN UROLOGY, 2021, 80 (02) : 139 - 141
  • [23] Genetic risk assessment of lethal prostate cancer using polygenic risk score and hereditary cancer susceptibility genes
    Xiaohao Ruan
    Da Huang
    Jingyi Huang
    James Hok-Leung Tsu
    Rong Na
    Journal of Translational Medicine, 21
  • [24] Genetic risk assessment of lethal prostate cancer using polygenic risk score and hereditary cancer susceptibility genes
    Ruan, Xiaohao
    Huang, Da
    Huang, Jingyi
    Tsu, James Hok-Leung
    Na, Rong
    JOURNAL OF TRANSLATIONAL MEDICINE, 2023, 21 (01)
  • [25] Evaluation of a Multiethnic Polygenic Risk Score Model for Prostate Cancer
    Plym, Anna
    Penney, Kathryn L.
    Kalia, Sarah
    Kraft, Peter
    Conti, David, V
    Haiman, Christopher
    Mucci, Lorelei A.
    Kibel, Adam S.
    JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE, 2022, 114 (05): : 771 - 774
  • [26] Prediction of Individual Genetic Risk to Prostate Cancer Using a Polygenic Score (vol 75, pg 1467, 2015)
    Lin, H. Y.
    PROSTATE, 2015, 75 (16): : 1972 - 1972
  • [27] Utilizing polygenic risk score for breast cancer risk prediction in a Taiwanese population
    Lin, Yi-Hsuan
    Hung, Chih-Chiang
    Lin, Guan-Cheng
    Tsai, I. -Chen
    Lum, Chih Yean
    Hsiao, Tzu-Hung
    CANCER EPIDEMIOLOGY, 2025, 94
  • [28] Polygenic Risk Score Prediction for Endometriosis
    Kloeve-Mogensen, Kirstine
    Rohde, Palle Duun
    Twisttmann, Simone
    Nygaard, Marianne
    Koldby, Kristina Magaard
    Steffensen, Rudi
    Dahl, Christian Moller
    Rytter, Dorte
    Overgaard, Michael Toft
    Forman, Axel
    Christiansen, Lene
    Nyegaard, Mette
    FRONTIERS IN REPRODUCTIVE HEALTH, 2021, 3
  • [29] Polygenic Risk Score: An Application to the Prediction of Asthma Risk
    Ricard, Jasmin
    Li, Zhonglin
    Theriault, Sebastien
    Bosse, Yohan
    Eslami, Aida
    GENETIC EPIDEMIOLOGY, 2021, 45 (07) : 785 - 785
  • [30] A polygenic risk score for multiple myeloma risk prediction
    Canzian, Federico
    Piredda, Chiara
    Macauda, Angelica
    Zawirska, Daria
    Andersen, Niels Frost
    Nagler, Arnon
    Zaucha, Jan Maciej
    Mazur, Grzegorz
    Dumontet, Charles
    Watek, Marzena
    Jamroziak, Krzysztof
    Sainz, Juan
    Varkonyi, Judit
    Butrym, Aleksandra
    Beider, Katia
    Abildgaard, Niels
    Lesueur, Fabienne
    Dudzinski, Marek
    Vangsted, Annette Juul
    Pelosini, Matteo
    Subocz, Edyta
    Petrini, Mario
    Buda, Gabriele
    Razny, Malgorzata
    Gemignani, Federica
    Marques, Herlander
    Orciuolo, Enrico
    Kadar, Katalin
    Jurczyszyn, Artur
    Druzd-Sitek, Agnieszka
    Vogel, Ulla
    Andersen, Vibeke
    Reis, Rui Manuel
    Suska, Anna
    Avet-Loiseau, Herve
    Kruszewski, Marcin
    Tomczak, Waldemar
    Rymko, Marcin
    Minvielle, Stephane
    Campa, Daniele
    EUROPEAN JOURNAL OF HUMAN GENETICS, 2022, 30 (04) : 474 - 479