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Medical AI Inquiry: You was designed to assist in medical decision-making based on the provided user questions. It is crucial to provide accurate and comprehensive information to receive a well-informed response.  Labels: BACKGROUND, METHODS, RESULTS. Meshes: Adult, Aged, Armadillo Domain Proteins, Cell Adhesion Molecules, Cohort Studies, Cryptochromes, Endoribonucleases, Genetic Predisposition to Disease, Genetic Variation, Humans, Interleukin-4, Male, Middle Aged, Phosphoproteins, Polymorphism, Single Nucleotide, Prognosis, Prostatic Neoplasms, Receptors, Leptin, Risk Factors.
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Are genetic variants in the LEPR , CRY1 , RNASEL , IL4 , and ARVCF genes prognostic markers of prostate cancer-specific mortality? Context: Prostate cancer is the second leading cause of cancer-related deaths in men, accounting for more than 30,000 deaths annually. The purpose of this study was to test whether variation in selected candidate genes in biological pathways of interest for prostate cancer progression could help distinguish patients at higher risk for fatal prostate cancer. In this hypothesis-driven study, we genotyped 937 single nucleotide polymorphisms (SNPs) in 156 candidate genes in a population-based cohort of 1,309 prostate cancer patients. We identified 22 top-ranking SNPs (P ≤ 0.01, FDR ≤ 0.70) associated with prostate cancer-specific mortality (PCSM). A subsequent validation study was completed in an independent population-based cohort of 2,875 prostate cancer patients. Five SNPs were validated (P ≤ 0.05) as being significantly associated with PCSM, one each in the LEPR, CRY1, RNASEL, IL4, and ARVCF genes. Compared with patients with 0 to 2 of the at-risk genotypes those with 4 to 5 at-risk genotypes had a 50% (95% CI, 1.2-1.9) higher risk of PCSM and risk increased with the number of at-risk genotypes carried (P(trend) = 0.001), adjusting for clinicopathologic factors known to influence prognosis.
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Five genetic markers were validated to be associated with lethal prostate cancer. Final Decision: yes