학술논문
How Well do Polygenic Risk Scores Identify Men at High Risk for Prostate Cancer? Systematic Review and Meta-Analysis
Document Type
Article
Author
Siltari, Aino; Lönnerbro, Ragnar; Pang, Karl; Shiranov, Kirill; Asiimwe, Alex; Evans-Axelsson, Susan; Franks, Billy; Kiran, Amit; Murtola, Teemu J.; Schalken, Jack; Steinbeisser, Carl; Bjartell, Anders; Auvinen, Anssi; N’Dow, J.; Smith, E.J.; Shepherd, R.; Ribal, M.; Mottet, N.; Moris, L.; Lardas, M.; Willemse, P-P.; Gandaglia, G.; Campi, R.; Nicoletti, Rossella; Gacci, M.; Briganti, A.; Ratti, M.M.; Alleva, E.; Leardini, L.; Sisca, E.S.; Bangma, R.; Roobol, M.; Remmers, S.; Tilki, D.; Visakorpi, T.; Talala, K.; Tammela, T.; van Hemelrijck, M.; Bayer, K.; Lejeune, S.; Byrne, S.; Fialho, L.; De Meulder, P. Palaiologou B.; Auffray, C.; Hijazy, A.; Power, S.; Kermani, N. Zounemat; van Bochove, K.; Kalafati, M.; Moinat, M.; Voss, E.; Horgan, D.; Fullwood, L.; Holtorf, M.; Lancet, D.; Bernstein, G.; Omar, I.; MacLennan, S.; Maclennan, S.; Tripathee, S.; Wirth, M.; Froehner, M.; Brenner, B.; Borkowetz, A.; Thomas, C.; Horn, F.; Reiche, K.; Kreux, M.; Josefsson, A.; Tandefekt, D. Gasi; Hugosson, J.; Huisman, H.; Schalken, J.; Hofmacher, T.; Lindgren, P.; Andersson, E.; Fridhammar, A.; Zong, J.; Butler-Ransohoff, J-E.; Herrera, R.; Maass, M.; Torremante, P.; Voss, M.D.; Devecseri, Z.; Abbott, T.; Dau, C.; Papineni, K.; Snijder, R.; Lambrecht, M.; Wolfinger, R.; Rogiers, S.; Servan, A.; Antoni, L.; Pacoe, K.; Robinson, P.; Jaton, B.; Bakkard, D.; Turunen, H.; Kilkku, O.; Pohjanjousi, P.; Voima, O.; Nevalaita, L.; Reich, C.; Araujo, S.; Longden-Chapman, E.; Burke, D.; Agapow, P.; Derkits, S.; Licour, M.; McCrea, C.; Payne, S.; Yong, A.; Thompson, L.; Mare, S. Le; Bussmann, M; Kotik, D.
Source
Clinical Genitourinary Cancer; April 2023, Vol. 21 Issue: 2 p316.e1-316.e11, 28451p
Subject
Language
ISSN
15587673
Abstract
•Polygenic risk scores (PRS) can be used to predict risk of prostate cancer (PCa).•Based on meta-analysis, the ability of PRS to identify PCa was modest (AUC 0.63).•Combining PRS with clinical variables increased the pooled AUC to 0.74 (0.68-0.81).•PRS accuracy is comparable to PSA or family history.