作者: Yao Zhu , Cheng-Tao Han , Hai-Tao Chen , Fang Liu , Gui-Ming Zhang
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摘要: // Yao Zhu 1, 2, * , Cheng-Tao Han Hai-Tao Chen 3, 4, 5 Fang Liu Gui-Ming Zhang 2 Wei-Yi Yang Jian-Feng Xu 5, 6 Ding-Wei Ye 1 Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, China Oncology, Medical Colleague, University, 3 Institute Huashan Hospital, 4 State Key Laboratory Genetic Engineering, School Life Sciences, Center for Epidemiology, Genomics, Wake Forest Medicine, Winston-Salem, NC, USA These authors have contributed equally to this work Correspondence to: Ye, e-mail: yedingwei1963@126.com Keywords: prostate cancer, age, genetic score, predictive performance, multivariate model Received: February 06, 2015 Accepted: May 07, Published: 15, 2015 ABSTRACT Background: We investigated whether age influences the predictiveness risk score (GRS) cancer (PCa) in a Chinese hospital-based biopsy cohort. Methods: included consecutive patients who underwent biopsies two tertiary centers between 2012 and 2014. GRS was calculated using 24 PCa-associated variants its assessed by area under curve (AUC). Results: Of 1120 men tested, 724 with prostate-specific antigen (PSA) < 20 ng/ml were selected further analysis. Patients divided into groups cutoffs at 60 70 years. significantly predicted PCa all (AUC: 0.561; 95% CI: 0.514–0.609) an independent predictor analysis 60–70 year-olds 0.612, 0.541–0.684), but not aged years or ≥70 For Gleason ≥7, discriminative ability 0.582 (95% CI=0.527–0.637) patients, 0.647 0.541–0.684) year-old group. Conclusion: increased clinical prediction high-grade disease years, which implies that group would benefit most from testing.