A meta-analysis of the relationship between ataxia-telangiectasia mutated gene polymorphisms and lung cancer susceptibility

Abstract

PurposeThis study aimed to analyze the relationship between ataxia-telangiectasia mutated (ATM) gene polymorphisms and lung cancer susceptibility using a meta-analysis. MethodsA literature search of the PubMed and EMBASE databases was performed using keywords such as “ATM gene” and “lung cancer,” and the deadline “October 15 (th), 2016.” After extracting relevant details, each selected literature was evaluated for quality according to the Newcastle–Ottawa Scale (NOS) scores, and Hardy–Weinberg equilibrium and heterogeneity tests were performed. Odds ratios (ORs) and 95% confidence interval (CI) were evaluated using R 3.12 software. ResultsEight eligible studies, published from 2004 to 2013, were identified. The NOS scores of these ranged from 5 to 7. The allele genetic model (OR=1.15; 95% CI, 1.01–1.31); additive genetic model (OR=1.44; 95% CI, 1.09–1.90); recessive genetic model (OR=1.48; 95% CI, 1.16–1.88); and dominant genetic model (OR=1.50; 95% CI, 1.16–1.93) of rs664143 (A>G) were found to be significantly different. For rs664677 (C>T), significant differences were found in the additive genetic model (OR=1.26, 95% CI, 1.01–1.55) and recessive genetic model (OR=1.31; 95% CI, 1.09–1.57). However, the other 2 genetic models (rs609429, rs664982) did not show significant differences. ConclusionThe polymorphisms rs664143 and rs664677 of ATM are associated with lung cancer occurrence.