Author:

Keywords:

Science & Technology, Life Sciences & Biomedicine, Medicine, Research & Experimental, Research & Experimental Medicine, prostate cancer, association study, single nucleotide polymorphism (SNP), 17q12, meta-analysis, LOCI, MUTATION, HNF1B, TOOL, MEN, Aged, Aged, 80 and over, Case-Control Studies, Chromosomes, Human, Pair 17, Genetic Association Studies, Genetic Predisposition to Disease, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Prostatic Hyperplasia, Prostatic Neoplasms, Risk Factors, Serbia, 1102 Cardiorespiratory Medicine and Haematology, 1112 Oncology and Carcinogenesis, 1199 Other Medical and Health Sciences, General Clinical Medicine, 3201 Cardiovascular medicine and haematology, 3214 Pharmacology and pharmaceutical sciences

Abstract:

This study aimed to evaluate possible association between genotypes and alleles of two 17q12 polymorphisms (rs3760511 and rs7501939) and prostate cancer (PCa) risk and progression. Two hundred seventy-one patients with PCa, 261 patients with benign prostatic hyperplasia (BPH), and 171 controls were included in the study. Single nucleotide polymorphisms (SNPs) were genotyped by using PCR followed by restriction fragment length (PCR-RFLP) analysis. We conducted meta-analysis of published studies regarding association of these SNPs with PCa risk. Evidence of positive association between the AC genotype of the SNP rs3760511 and BPH risk for the best-fitting overdominant model of association (BPH vs. controls comparison, p = 0.026; odds ratio [OR] = 1.58; 95% confidence interval [95%CI] 1.05-2.36) were obtained. The association between T allele of rs7501939 and PCa risk was determined in PCa versus controls comparison (p = 0.0032; OR = 0.66, 95%CI 0.50-0.87) with the best-fitting model of inheritance being log-additive. This variant was also found to be associated with the risk of BPH (p = 0.0023; OR = 0.65, 95%CI 0.49-0.86). We found no association between parameters of PCa progression and the analyzed SNPs. Meta-analysis showed strong association between these variants and PCa risk. Our study shows association between SNPs at locus 17q12 and the risk of prostatic diseases in Serbian population. At the same time, results of meta-analysis suggest the association of these SNPs with PCa risk.