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Updated: Jun 23, 2026

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
Published on: November 2, 2013
Joint Biochemical and Genetic Prostate Cancer Risk Stratification
Nicole Zeltser1,2, Roni Haas1,2, Christine Ibilibor3
1Department of Human Genetics, University of California, Los Angeles, California.
Purpose:
Overdiagnosis of prostate cancer (PC) through PSA testing at short intervals remains common. While baseline serum PSA abundance < 1 ng/mL warrants infrequent screening, it is critical to foster advanced diagnostic practices for men with baseline serum PSA ≥ 1 ng/mL, who are at higher risk for clinically significant disease. We investigated whether common germline variants could enhance screening recommendations in men with PSA ≥ 1 ng/mL.
Materials And Methods:
Polygenic hazard scores (PHS) for the risk of PC diagnosis (PHS290) were computed in a diverse, matched, prospective cohort of 310 men with baseline PSA ≥ 1 ng/mL with or without PC. Regression models were used to predict PC clinical risk groups with PHS290, while incorporating clinical covariates and an existing 5-year risk calculator score.
Results:
PHS290 stratified individuals with PSA ≥ 1 ng/mL into risk groups and identified men with intermediate-risk and high-risk PC. Adding PHS290 to our model for predicting time to intermediate-risk and high-risk PC improved predictions over an existing prebiopsy 5-year risk calculator.
Conclusions:
Our study demonstrates the potential of genetic scores to advance screening guidance. The PC risk stratification capabilities of molecular biomarkers in tiered screening strategies merit further study in large cohorts.
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