Comprehensive assessment of the association between DNA repair gene XRCC3 rs861539 C/T polymorphism and lung cancer risk
Tumor Biology(2013)
Abstract
A few case–control studies were performed to assess the association between X-ray repair cross-complementing group 3 ( XR CC3) rs861539 C/T polymorphism and lung cancer susceptibility, but no consistent finding was reported. In the present study, we performed a meta-analysis of 14 case–control studies with a total of 7,869 lung cancer cases and 10,778 controls to provide a comprehensive assessment of the association between XR CC3 rs861539 C/T polymorphism and lung cancer risk. Pooled odds ratios (ORs) and corresponding 95 % confidence intervals (95 % CIs) were calculated to assess the strength of the association. Overall, there was no significant association between XRCC3 rs861539 C/T polymorphism and lung cancer risk under all genetic models [OR (95 % CI) for T versus C , 1.00 (0.89–1.13), P = 0.99; OR (95 % CI) for TT versus CC, 1.07 (0.81–1.41), P = 0.62; OR (95 % CI) for TT/CT versus CC, 0.95 (0.84–1.07), P = 0.39; OR (95 % CI) for TT versus CT/CC, 1.10 (0.86–1.39), P = 0.62]. In the subgroup analyses of both Asians and Caucasians, there was still no significant association between XRCC3 rs861539 C/T polymorphism and lung cancer risk under all genetic models (All P values were more than 0.05). However, there was an obvious association between XRCC3 rs861539 C/T polymorphism and decreased risk of lung cancer in the subgroup analysis of the mixed population (All P values were less than 0.05). In addition, there was some risk of publication bias in the meta-analysis, and there was obvious discrepancy in the findings between studies with large sample size and studies with small sample size in the meta-analysis. The meta-analysis indicates that the association between XRCC3 rs861539 C/T polymorphism and lung cancer risk is still uncertain owing to the obvious discrepancy in the findings between studies with large sample size and studies with small sample size. More studies with large sample size are needed to further assess the association.
MoreTranslated text
Key words
Lung cancer,XRCC3,Association,Meta-analysis
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined