, and - polymorphisms in association with lung cancer susceptibility: a meta-analysis.

Numerous studies have examined the association between interleukin-10 (, and -) gene polymorphisms and risk of lung cancer, but these have revealed inconsistent results. The aim of this study was to clarify the relationship between these polymorphisms and the risk of lung cancer by performing a meta-analysis. The published literature concerning IL-10 polymorphisms and lung cancer risk were retrieved by systematically searching PubMed, Embase, Web of Science, China National Knowledge Infrastructure, WanFang, and Database of Chinese Scientific and Technical Periodicals (VIP) database. Statistical analysis was conducted with Stata 12.0 software. A total of ten published articles comprising of 19 studies were selected, including seven studies (1,960 controls and 1,321 cases) for , seven studies (2,613 controls and 1,839 cases) for , and five studies (1,558 controls and 926 cases) for . This study found that the and - polymorphisms were significantly associated with the risk of lung cancer in the overall analysis. When stratified by ethnicity, significantly increased risks were observed for , and - polymorphisms in Asians (for -1082A/G, AA vs [AG + GG]: odds ratio [OR] =1.20, confidence interval [CI] =1.05-1.39, <0.05; for C-592A, C vs A, OR =1.36, CI =1.20-1.53, <0.05; CC vs AA, OR =1.85, CI =1.45-2.37, <0.05; CC vs [CA + AA], OR =1.36, CI =1.15-1.61, <0.05; for -, T vs C: OR =1.21, CI =1.06-1.38, <0.05; TT vs CC, OR =1.54, CI =1.18-2.01, <0.05; [TT + TC] vs CC, OR =1.51, CI =1.17-1.95, <0.05). Moreover, the data indicated that there was a significant association between polymorphism and non-small-cell lung cancer risk. No significant publication bias was detected under the four genetic models (allele model, homozygous model, dominant model, and recessive model) in this meta-analysis. On the basis of these 19 studies, this study found that the and - polymorphisms might have a significant association with risk of lung cancer in Asian populations.