title: Influence of age on predictiveness of genetic risk score for prostate cancer in a Chinese hospital-based biopsy cohort.
abstract: BACKGROUND
  We investigated whether age influences the predictiveness of genetic risk score (GRS) for prostate cancer (PCa) in a Chinese hospital-based biopsy cohort.
  
  
  METHODS
  We included consecutive patients who underwent prostate biopsies in two tertiary centers between 2012 and 2014. GRS was calculated using 24 PCa-associated genetic variants and its predictiveness was assessed by area under curve (AUC).
  
  
  RESULTS
  Of 1120 men tested, 724 with prostate-specific antigen (PSA) < 20 ng/ml were selected for further analysis. Patients were divided into 3 groups by age cutoffs at 60 and 70 years. GRS significantly predicted PCa for all patients (AUC: 0.561; 95% CI: 0.514-0.609) and was an independent predictor in multivariate analysis for the 60-70 year-olds (AUC: 0.612, 95% CI: 0.541-0.684), but not for patients aged < 60 years or ≥ 70 years. For PCa with Gleason score ≥ 7, GRS discriminative ability was 0.582 (95% CI=0.527-0.637) for all patients, and 0.647 (95% CI: 0.541-0.684) for the 60-70 year-old group.
  
  
  CONCLUSIONS
  GRS significantly increased clinical prediction of PCa and high-grade disease in Chinese men aged 60-70 years, which implies that men in this age group would benefit most from genetic testing.
authors.affiliation: Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.|Department of Oncology, Shanghai Medical Colleague, Fudan University, Shanghai, China.
authors.forename: Yao
authors.initials: Y
authors.lastname: Zhu
authors.affiliation: Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.|Department of Oncology, Shanghai Medical Colleague, Fudan University, Shanghai, China.
authors.forename: Cheng-Tao
authors.initials: CT
authors.lastname: Han
authors.affiliation: Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, China.|State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China.|Center for Genetic Epidemiology, School of Life Sciences, Fudan University, Shanghai, China.
authors.forename: Hai-Tao
authors.initials: HT
authors.lastname: Chen
authors.affiliation: Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, China.|State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China.|Center for Genetic Epidemiology, School of Life Sciences, Fudan University, Shanghai, China.
authors.forename: Fang
authors.initials: F
authors.lastname: Liu
authors.affiliation: Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.|Department of Oncology, Shanghai Medical Colleague, Fudan University, Shanghai, China.
authors.forename: Gui-Ming
authors.initials: GM
authors.lastname: Zhang
authors.affiliation: Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.|Department of Oncology, Shanghai Medical Colleague, Fudan University, Shanghai, China.
authors.forename: Wei-Yi
authors.initials: WY
authors.lastname: Yang
authors.affiliation: Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, China.|State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China.|Center for Genetic Epidemiology, School of Life Sciences, Fudan University, Shanghai, China.|Center for Cancer Genomics, Wake Forest School of Medicine, Winston-Salem, NC, USA.
authors.forename: Jian-Feng
authors.initials: JF
authors.lastname: Xu
authors.affiliation: Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.|Department of Oncology, Shanghai Medical Colleague, Fudan University, Shanghai, China.
authors.forename: Ding-Wei
authors.initials: DW
authors.lastname: Ye
mesh_terms: D000367:Age Factors; D000368:Aged; D044466:Asian People / Q000235:genetics; D001706:Biopsy; D002681:China / Q000453:epidemiology; D015331:Cohort Studies; D020022:Genetic Predisposition to Disease; D005820:Genetic Testing; D006801:Humans; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D011471:Prostatic Neoplasms / Q000453:epidemiology / Q000235:genetics* / Q000473:pathology; D012307:Risk Factors
keywords: age; genetic score; multivariate model; predictive performance; prostate cancer