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Clinical Utility of Five Genetic Variants for Predicting Prostate Cancer Risk and Mortality


Salinas, CA and Koopmeiners, JS and Kwon, EM and Fitzgerald, LM and Lin, DW and Ostrander, EA and Feng, Z and Stanford, JL, Clinical Utility of Five Genetic Variants for Predicting Prostate Cancer Risk and Mortality, The Prostate, 69, (4) pp. 363-372. ISSN 0270-4137 (2009) [Refereed Article]

Copyright Statement

Copyright 2008 Wiley-Liss,Inc.

DOI: doi:10.1002/pros.20887


Background: A recent report suggests that the combination of five single-nucleotide polymorphisms (SNPs) at 8q24, 17q12, 17q24.3 and a family history of the disease may predict risk of prostate cancer. The present study tests the performance of these factors in prediction models for prostate cancer risk and prostate cancer-specific mortality.

Methods: SNPs were genotyped in population-based samples from Caucasians in King County, Washington. Incident cases (n=1308), aged 3574, were compared to age-matched controls (n=1266) using logistic regression to estimate odds ratios (OR) associated with genotypes and family history. Cox proportional hazards models estimated hazard ratios for prostate cancer-specific mortality according to genotypes.

Results: The combination of SNP genotypes and family history was significantly associated with prostate cancer risk (ptrend=1.5 10−20). Men with ≥ five risk factors had an OR of 4.9 (95% CI 1.6 to 18.5) compared to men with none. However, this combination of factors did not improve the ROC curve after accounting for known risk predictors (i.e., age, serum PSA, family history). Neither the individual nor combined risk factors was associated with prostate cancer-specific mortality.

Conclusion: Genotypes for five SNPs plus family history are associated with a significant elevation in risk for prostate cancer and may explain up to 45% of prostate cancer in our population. However, they do not improve prediction models for assessing who is at risk of getting or dying from the disease, once known risk or prognostic factors are taken into account. Thus, this SNP panel may have limited clinical utility.

Item Details

Item Type:Refereed Article
Keywords:Prostate Cancer
Research Division:Biomedical and Clinical Sciences
Research Group:Oncology and carcinogenesis
Research Field:Cancer genetics
Objective Division:Health
Objective Group:Clinical health
Objective Field:Clinical health not elsewhere classified
UTAS Author:Fitzgerald, LM (Dr Liesel Fitzgerald)
ID Code:104113
Year Published:2009
Web of Science® Times Cited:70
Deposited By:Menzies Institute for Medical Research
Deposited On:2015-11-03
Last Modified:2015-12-11

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