Meta-Analysis of P73 Polymorphism and Risk of Non-Small Cell Lung Cancer

Abstract

Background: The relationship between p73 gene G4C14-to-A4T14 polymorphism and non-small cell lung cancer risk is unclear. Now we performed a meta-analysis to clarify the association of p73 polymorphism with nonsmall cell lung cancer.Methods: To assess the association between p73 polymorphism and non-small cell lung cancer deeply, we searched Pubmed, Embase, CNKI, Wanfang and CBM databases. All analyses were done using RevMan 5.3 software which provided by the Cochrane Collaboration and Stata version 12.0. The statistical heterogeneity among studies was assessed with the chi-square-based Q test. We used the random effects model as well as the fixed effects model to calculate the pooled ORs.Results: Our meta-analysis included 6 studies with a total of 1658 patients with non-small lung cancer and 2328 cancer-free control subjects. In all comparisons, we find none of genetic models shows significant relation with the risk of non-small lung cancer (recessive model: OR: 1.16, 95%CI: 0.94-1.43; dominant model: OR: 0.63, 95%CI: 0.37-1.06; co-dominant model: OR: 1.63, 95%CI: 0.94-2.83; allelic model: OR: 1.20, 95%CI: 0.98-1.48). However, when we proceeded to subgroup analysis according country, significantly increased risk was observed in a recessive models (OR: 1.35, 95%CI: 1.15-1.59), in a co-dominant model: (OR: 2.49, 95%CI: 1.76-3.53), in an allelic model (OR, 1.41, 95%CI, 1.24-1.61). Significantly decreased risk was observed in a dominant model (OR: 0.42, 95%CI: 0.30-0.59).Conclusions: Our results indicate that p73 gene G4C14-to-A4T14 polymorphism is associated with the risk of non-small cell lung cancer in China. However, a large gene-to-environment research is required to confirm this conclusion.