Literature DB >> 25273821

Confirmation of genetic variants associated with lethal prostate cancer in a cohort of men from hereditary prostate cancer families.

Danielle M Karyadi1, Shanshan Zhao, Qianchuan He, Laura McIntosh, Jonathan L Wright, Elaine A Ostrander, Ziding Feng, Janet L Stanford.   

Abstract

Germline genetic variants have been suggested as prognostic biomarkers for identifying patients at high risk for lethal prostate cancer (PCa). Validation studies have confirmed the association of several single nucleotide polymorphisms (SNPs) with fatal PCa, but whether these variants affect PCa-specific mortality (PCSM) in patients with an inherited predisposition to PCa, based on familial history, is unknown. For this study, a cohort of 957 PCa patients from 270 hereditary prostate cancer families of European ancestry was genotyped for a panel of 22 PCSM-associated SNPs. Death certificates were reviewed to confirm cause of death. Mixed-effect Cox proportional hazards models were used to assess survival according to genotypes, accounting for relatedness and clinicopathological factors. Within this cohort, 98 PCa deaths were confirmed over an average follow-up period of 12.7 years after diagnosis. Variant allele carriers for three SNPs had significantly altered risk for PCSM [rs635261 at RNASEL, hazard ratio (HR), 0.35, 95% CI, 0.18-0.66; p = 0.002; rs915927 in XRCC1, HR, 1.91, 95% CI, 1.21-3.02; p = 0.009; and rs2494750 at AKT1, HR, 0.45, 95% CI, 0.23-0.90; p = 0.016). These results confirm the association of genetic variation in three genes with PCa lethality in a cohort of men with an inherited susceptibility to the disease and provide validation evidence that germline SNPs provide prognostic information for PCa patients. Development of a panel of germline biomarkers with clinical utility for distinguishing patients at detection who have an increased risk for fatal PCa is warranted.
© 2014 UICC.

Entities:  

Keywords:  AKT1; RNASEL; SNPs; XRCC1; hereditary prostate cancer; mortality

Mesh:

Year:  2014        PMID: 25273821      PMCID: PMC4331209          DOI: 10.1002/ijc.29241

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  22 in total

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