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Oh JJ, Park S, Lee SE, Hong SK, Lee S, Kim TJ, Lee IJ, Ho JN, Yoon S, Byun SS. Genetic risk score to predict biochemical recurrence after radical prostatectomy in prostate cancer: prospective cohort study. Oncotarget 2017; 8:75979-75988. [PMID: 29100285 PMCID: PMC5652679 DOI: 10.18632/oncotarget.18275] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2017] [Accepted: 05/07/2017] [Indexed: 12/28/2022] Open
Abstract
Purpose To investigate the genetic risk score (GRS) from a large-scale exome-wide association study as a tool of prediction for biochemical recurrence (BCR) after radical prostatectomy (RP) in prostate cancer (PCa). Results The 16 SNPs were selected as significant predictors of BCR. The GRS in men experiencing BCR was -1.21, significantly higher than in non-BCR patients (–2.43) (p < 0.001). The 10-year BCR-free survival rate was 46.3% vs. 81.8% in the high-versus low GRS group, respectively (p < 0.001). The GRS was a significant factor after adjusting for other variables in Cox proportional hazard models (HR:1.630, p < 0.001). The predictive ability of the multivariate model without GRS was 84.4%, increased significantly to 88.0% when GRS was included (p = 0.0026). Materials and Methods Total 912 PCa patients were enrolled who had received RP and genotype analysis using Exome chip (HumanExome BeadChip). Genetic results were obtained by the methods of logistic regression analysis which measured the odds ratio (OR) to BCR. The GRS was calculated by the sum of each weighted-risk allele count multiplied by the natural logarithm of the respective ORs. Survival analyses were performed using the GRS. We compared the accuracy of separate multivariate models incorporating clinicopathological factors that either included or excluded the GRS. Conclusions GRS had additional predictive gain of BCR after RP in PCa. The addition of personally calculated GRS significantly increased the BCR prediction rate. After validation of these results, GRS of BCR could be potential biomarker to predict clinical outcomes.
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Affiliation(s)
- Jong Jin Oh
- Department of Urology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Seunghyun Park
- Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea.,School of Electrical Engineering, Korea University, Seoul, Korea
| | - Sang Eun Lee
- Department of Urology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Sung Kyu Hong
- Department of Urology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Sangchul Lee
- Department of Urology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Tae Jin Kim
- Department of Urology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea
| | - In Jae Lee
- Department of Urology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Jin-Nyoung Ho
- Department of Urology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.,Biomedical Research Institute, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Sungroh Yoon
- Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea
| | - Seok-Soo Byun
- Department of Urology, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Korea
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