Meta-Analysis Reveals no Significant Association between ERCC6 Polymorphisms and Bladder Cancer Risk. Issue 1 (January 2017)

• Record Type: Journal Article
• Authors: Hong, Zhengdong; Wu, Jinxian; Li, Qiang; Zhang, Shouhua; Shi, Zimin
• Is Part Of: International journal of biological markers. Volume 32:Issue 1(2017)
• Page Start: 113
• Page End: 117
• Publication Date: 2017-01
• Subjects: Bladder cancer -- ERCC6 -- Meta-analysis -- Polymorphism; Cell receptors -- Periodicals; Histochemistry -- Periodicals; Tumor markers -- Periodicals; Tumor antigens -- Periodicals; 616.99407582
• DOI: 10.5301/jbm.5000236
• Languages: English
• ISSNs: 0393-6155

Abstract

Background: Numerous studies have been conducted to evaluate the association between excision repair cross-complementing group 6 (ERCC6) gene polymorphisms and bladder cancer risk, but their findings have been inconsistent. Here we performed a meta-analysis to attempt to clarify this association. Methods: Studies were retrieved from the PubMed and China National Knowledge Infrastructure databases up to October 1, 2015, with strict selection and exclusion criteria. A total of 5, 032 samples, comprising samples from 2, 475 bladder cancer patients and 2, 557 controls from 5 studies, were included in the meta-analysis. The odds ratio (OR) with 95% confidence interval (CI) was used to evaluate the strength of the associations. Results: Regarding the Met1097Val polymorphism, no significant association with bladder cancer risk was found in any of the genetic models evaluated (Val vs. Met: OR = 1.10, 95% CI, 0.97-1.25; Val/Val vs. Met/Met: OR = 1.23, 95% CI, 0.86-1.75; Val/Val + Val/Met vs. Met/Met: OR = 1.12, 95% CI, 0.96-1.30; Val/Val vs. Met/Met + Val/Met: OR = 0.81, 95% CI, 0.57-1.14). Similarly, as regards the Arg1230Pro polymorphism, we also found no positive results. Conclusions: According to the results of our meta-analysis, there is no evidence of a link between the ERCC6 gene polymorphisms and bladder cancer risk. Well-designed further studies, with larger sample sizes and adjustment for confounders such as smoking status, are needed to confirm these conclusions.