
Role of Genetic Polymorphisms in the Development and Prognosis of Sporadic and Familial Prostate Cancer
Author(s) -
Sabrina T. Reis,
Nayára Izabel Viana,
Kátia R. M. Leite,
Diogenes Erico,
Alberto A. Antunes,
Alexandre Iscaife,
Adriano Nesrallah,
Carlo C. Passerotti,
Victor Srougi,
José PontesJúnior,
Mary Ellen Salles,
William C. Nahas,
Miguel Srougi
Publication year - 2016
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0166380
Subject(s) - single nucleotide polymorphism , genotyping , snp , genotype , snp genotyping , medicine , allele , oncology , prostate cancer , genetic predisposition , cancer , gastroenterology , genetics , biology , disease , gene
Backgrounds Our aim was to evaluate the role of 20 genetic polymorphisms in the development and prognosis of sporadic and familial PC. A case-control study of 185 patients who underwent radical prostatectomy from 1997 to 2011. These patients were divided into two groups based on their family history. Gleason grade, PSA value and pathological TNM 2002 stage were used as prognostic factors. Blood samples from 70 men without PC were used as controls. The SNPs were genotyped using a TaqMan ® SNP Genotyping Assay Kit. Results Considering susceptibility, the polymorphic allele in the SNP rs2660753 on chromosome 3 was significantly more prevalent in controls (p = 0.01). For familial clustering, the polymorphic homozygote genotype of the SNP rs7931342 was five times more frequent in patients with familial PC compared to sporadic PC (p = 0.01). Regarding the SNP 1447295, the polymorphic homozygote genotype was more prevalent in patients with organ-confined PC (p = 0.05), and most importantly, the polymorphic allele occurred more frequently in patients without biochemical recurrence (p = 0.01). Kaplan-Meier analysis showed a median biochemical recurrence free survival of 124.2 compared to 85.6 months for patients with the wild-type allele (p = 0.007). Conclusion Our findings provide the evidence for the association of 20 recently highlighted SNPs and their susceptibility, familial clustering, staging, Gleason score and biochemical recurrence of PC. We believe that the association between these SNPs and PC may contribute to the development of alternative tools that can facilitate the early detection and prognosis of this disease.