BackgroundNumerous epidemiological studies have been conducted to explore the association between the Lys939Gln polymorphism of Xeroderma pigmentosum group C (XPC) gene and urinary bladder cancer susceptibility. However, the results remain inconclusive. In order to derive a more precise estimation of this relationship, a large and update meta-analysis was performed in this study.MethodsA comprehensive search was conducted through researching MEDLINE, EMBASE, PubMed, Web of Science, China Biomedical Literature database (CBM) and China National Knowledge Infrastructure (CNKI) databases before June 2013. Crude odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to estimate the strength of the association.ResultsA total of 12 studies with 4828 cases and 4890 controls for evaluating the XPC Lys939Gln polymorphism and urinary bladder cancer were included. Overall, there was significant associations between the XPC Lys939Gln polymorphism and urinary bladder cancer risk were found for homozygous model (OR = 1.352, 95% CL = 1.088-1.681), heterozygous model (OR = 1.354, 95% CL = 1.085-1.688), and allele comparison (OR = 1.109, 95% CL = 1.013-1.214). In subgroup analysis by ethnicity and source of controls, there were still significant associations detected in some genetic models.ConclusionOur meta-analysis suggested that the XPC Lys939Gln polymorphism contributed to the risk of urinary bladder cancer.Virtual slidesThe virtual slide(s) for this article can be found here: .

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The methylenetetrahydrofolate dehydrogenase 1 (MTHFD1) polymorphism G1958A has been extensively investigated as a potential risk factor for prostate cancer (PCa), but the results have thus far been inconclusive. This meta-analysis was performed to derive a more precise estimation of the association. A comprehensive search was conducted to identify all case-control studies of MTHFD1 G1958A polymorphism and PCa risk. We used odds ratios (ORs) to assess the strength of the association, and 95% confidence intervals (CIs) give a sense of the precision of the estimate. Statistical analyses were performed using Review Manage version 5.0 and Stata 10.0. A total of six available studies were considered in the present meta-analysis, with 7,493 patients and 36,941 controls. When all groups were pooled, there was no evidence that G1958A had significant association with PCa under additive, recessive, dominant, and allelic models. This meta-analysis suggests that MTHFD1 G1958A polymorphism might not be a risk factor for PCa. However, further large-scale and well-designed case-control studies are necessary to validate the risk identified in the present meta-analysis.

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