Literature DB >> 21933627

Excision repair cross complementation group 1 polymorphisms and lung cancer risk: a meta-analysis.

Chao Cao1, Yan-mei Zhang, Ran Wang, Shi-fang Sun, Zhong-bo Chen, Hong-ying Ma, Yi-ming Yu, Qun-li Ding, Li-hua Shu, Zai-chun Deng.   

Abstract

BACKGROUND: Several studies have evaluated the association between polymorphisms of encoding excision repair cross complementation group 1 (ERCC1) enzyme and lung cancer risk in diverse populations but with conflicting results. By pooling the relatively small samples in each study, it is possible to perform a meta-analysis of the evidence by rigorous methods.
METHODS: Embase, Ovid, Medline and Chinese National Knowledge Infrastructure were searched. Additional studies were identified from references in original studies or review articles. Articles meeting the inclusion criteria were reviewed systematically, and the reported data were aggregated using the statistical techniques of meta-analysis.
RESULTS: We found 3810 cases with lung cancer and 4332 controls from seven eligible studies. T19007C polymorphism showed no significant effect on lung cancer risk (C allele vs. T allele: odds ratio (OR) = 0.91, 95% confidence interval (CI) = 0.80 - 1.04; CC vs. TT: OR = 0.76, 95%CI = 0.56 - 1.02; CC vs. (CT + TT): OR = 0.96, 95%CI = 0.84 - 1.10). Similarly, there was no significant main effects for T19007C polymorphism on lung cancer risk when stratified analyses by ethnicity (Chinese or Caucasian). No significant association was found between C8092A polymorphism (3060 patients and 2729 controls) and the risk of lung cancer (A allele vs. C allele: OR = 1.03, 95%CI = 0.95 - 1.11; AA vs. CC: OR = 1.08, 95%CI = 0.88 - 1.33; AA vs. (AC + CC): OR = 1.08, 95%CI = 0.88 - 1.31).
CONCLUSION: We found little evidence of an association between the T1900C or C8092A polymorphisms of ERCC 1 and the risk of lung cancer in Caucasian or Han Chinese people.

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Year:  2011        PMID: 21933627

Source DB:  PubMed          Journal:  Chin Med J (Engl)        ISSN: 0366-6999            Impact factor:   2.628


  13 in total

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Journal:  PLoS One       Date:  2013-04-04       Impact factor: 3.240

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