Literature DB >> 25292056

GSTM1 polymorphisms and lung cancer risk in the Chinese population: a meta-analysis based on 47 studies.

Xin-Ping Chen1, Wei-Hua Xu, Da-Feng Xu, Xian-He Xie, Jia Yao, Sheng-Miao Fu.   

Abstract

Although a number of studies have been conducted on the association between GSTM1 polymorphisms and lung cancer in China, this association remains elusive and controversial. To clarify the effects of GSTM1 polymorphisms on the risk of lung cancer, a meta-analysis was performed in the Chinese population. Related studies were identified from PubMed, Springer Link, Ovid, Chinese Wanfang Data Knowledge Service Platform, Chinese National Knowledge Infrastructure (CNKI), and Chinese Biology Medicine (CBM) up to 5th April 2014. A total of 45 articles (47 studies) including 6,623 cases and 7,865 controls were involved in this meta-analysis. Overall, a significant association (OR = 1.45, 95%CI: 1.32-1.60) was found between the null GSTM1 and lung cancer risk when all studies in Chinese population pooled into the meta-analysis. In subgroup analyses stratified by quality score, geographic area and source of controls, the same results were observed under all the models. This meta-analysis showed that the null GSTM1 may be a potential biomarker for lung cancer risk in Chinese, but further studies with gene-gene and gene-environment interactions are required for definite conclusions.

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Year:  2014        PMID: 25292056     DOI: 10.7314/apjcp.2014.15.18.7741

Source DB:  PubMed          Journal:  Asian Pac J Cancer Prev        ISSN: 1513-7368


  2 in total

1.  Lung cancer susceptibility from GSTM1 deletion and air pollution with smoking status: a meta-prediction of worldwide populations.

Authors:  Pojui Yu; Joyce D Kusuma; Maria Aurora R Suarez; Shyang-Yun Pamela Koong Shiao
Journal:  Oncotarget       Date:  2018-07-24

2.  Individual and combined effects of GSTM1, GSTT1, and GSTP1 polymorphisms on lung cancer risk: A meta-analysis and re-analysis of systematic meta-analyses.

Authors:  Wen-Ping Zhang; Chen Yang; Ling-Jun Xu; Wei Wang; Liang Song; Xiao-Feng He
Journal:  Medicine (Baltimore)       Date:  2021-07-02       Impact factor: 1.817

  2 in total

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