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Meta-Analysis
. 2014 May;35(5):4545-50.
doi: 10.1007/s13277-013-1598-x. Epub 2014 Jan 17.

Lack of association of XRCC1 rs1799782 genetic polymorphism with risk of pancreatic cancer: a meta-analysis

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Meta-Analysis

Lack of association of XRCC1 rs1799782 genetic polymorphism with risk of pancreatic cancer: a meta-analysis

Gengsheng He et al. Tumour Biol. 2014 May.
Free article

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Abstract

Emerging evidence suggests that genetic polymorphisms in X-ray repair cross-complementation group 1 (XRCC1) gene could be associated with pancreatic cancer risk. However, previous published studies on the association between XRCC1 rs1799782 genetic polymorphism and pancreatic cancer risk reported inconsistent results. For better understanding of the effects of XRCC1 rs1799782 genetic polymorphism on pancreatic cancer risk, we conducted a meta-analysis of previous published studies by calculating the pooled odds ratio (OR) with a 95% confidence interval (95% CI). A total of five eligible studies with 1,144 pancreatic cancer cases and 2,925 controls were eventually enrolled. Overall, we found that the XRCC1 rs1799782 genetic polymorphism was not associated with pancreatic cancer risk in total population under all genetic models (TT vs. CC: OR = 1.11, 95% CI 0.76-1.63, P = 0.583; CT vs. CC: OR = 1.39, 95% CI 0.92-2.10, P = 0.118; TT/CT vs. CC: OR = 1.39, 95% CI 0.92-2.10, P = 0.121; TT vs.

Ct/cc: OR = 1.07, 95% CI 0.73-1.55, P = 0.743; T vs. C: OR = 1.31, 95% CI 0.93-1.86, P = 0.125). In the subgroup analysis based on ethnicity, there was no statistically significant association between XRCC1 rs1799782 genetic polymorphism and pancreatic cancer risk in Asians/Caucasians under all genetic models (all P values > 0.05). No publication bias was detected in this study. Our meta-analysis suggests that the XRCC1 rs1799782 genetic polymorphism is not significantly associated with pancreatic cancer risk. Considering the limited sample size and ethnicity enrolled in this meta-analysis, further larger scaled studies are needed to provide a more precise estimation on the association.

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