Prediction of clinically significant prostate cancer using polygenic risk models in Asians
송상헌, 김은애, 우은진, 권은경, 윤성로, 김중권, 이학민, 오종진, 이상철, 홍성규, 변석수,
소속 상세정보
송상헌 ( Song Sang-Hun )
Seoul National University Bundang Hospital Department of Urology
김은애 ( Kim Eun-Ae )
Procagen
우은진 ( Woo Eun-Jin )
Procagen
권은경 ( Kwon Eun-Kyung )
Seoul National University Bundang Hospital Department of Urology
윤성로 ( Yoon Sung-Roh )
Seoul National University Department of Electrical and Computer Engineering
김중권 ( Kim Jung-Kwon )
Seoul National University Bundang Hospital Department of Urology
이학민 ( Lee Hak-Min )
Seoul National University Bundang Hospital Department of Urology
오종진 ( Oh Jong-Jin )
Seoul National University Bundang Hospital Department of Urology
이상철 ( Lee Sang-Chul )
Seoul National University Bundang Hospital Department of Urology
홍성규 ( Hong Sung-Kyu )
Seoul National University Bundang Hospital Department of Urology
변석수 ( Byun Seok-Soo )
Seoul National University Bundang Hospital Department of Urology
Abstract
Purpose: To develop and evaluate the performance of a polygenic risk score (PRS) constructed in a Korean male population to predict clinically significant prostate cancer (csPCa).
Materials and Methods: Total 2,702 PCa samples and 7,485 controls were used to discover csPCa susceptible single nucleotide polymorphisms (SNPs). Males with biopsy-proven or post-radical prostatectomy Gleason score 7 or higher were included for analysis. After genotype imputation for quality control, logistic regression models were applied to test association and calculate effect size. Extracted candidate SNPs were further tested to compare predictive performance according to number of SNPs included in the PRS. The best-fit model was validated in an independent cohort of 311 cases and 822 controls.
Results: Of the 83 candidate SNPs with significant PCa association reported in previous literature, rs72725879 located in PRNCR1 showed the highest significance for PCa risk (odds ratio, 0.597; 95% confidence interval [CI], 0.555?0.641; p=4.3×10-45). Thirty-two SNPs within 26 distinct loci were further selected for PRS construction. Best performance was found with the top 29 SNPs, with AUC found to be 0.700 (95% CI, 0.667?0.734). Males with very-high PRS (above the 95th percentile) had a 4.92-fold increased risk for csPCa.
Conclusions: Ethnic-specific PRS was developed and validated in Korean males to predict csPCa susceptibility using the largest csPCa sample size in Asia. PRS can be a potential biomarker to predict individual risk. Future multi-ethnic trials are required to further validate our results.
키워드
Genome-wide association study; Multifactorial inheritance; Polymorphism, single nucleotide; Prostatic neoplasms
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SCI(E)
MEDLINE
KCI
KoreaMed
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