Literature DB >> 27352326

Association Between the LIG1 Polymorphisms and Lung Cancer Risk: A Meta-analysis of Case-Control Studies.

Dan Li1, Ruoran Li1, Jinghao Zhang1, Ke Li1, Yanmin Wu2.   

Abstract

Non-homologous end joining (NHEJ) is one of the pathways used to repair the DNA double-strand breaks. A number of genes involved in NHEJ have been implicated as lung cancer susceptibility genes such as the LIG1. However, some studies have generated conflicting results. The aim of this review and meta-analysis was to investigate the association between the LIG1 gene polymorphism and lung cancer risk. Studies focusing on the relationship between the LIG1 gene polymorphisms and susceptibility to lung cancer were selected from several electronic databases, with the last search up to October 25, 2014. Data were extracted by two independent reviewers, and the meta-analysis was performed with STATA version 12.0 software, calculating odds ratios (ORs) with 95 % confidence intervals (95 % CIs). According to the inclusion criteria, we included ten studies with a total of 4012 lung cancer cases and 5629 healthy controls in the meta-analysis. The results showed that the rs156641 polymorphism was significantly associated with lung cancer risk (dominant model: OR 0.694, 95 % CI 0.549-0.878; homozygote model: OR 0.677, 95 % CI 0.526-0.871; heterozygote model: OR 0.712, 95 % CI 0.556-0.913; additive model: OR 0.859, 95 % CI 0.767-0.962), whereas no association was found between rs3730931/rs439132/rs20579 polymorphisms and lung cancer. Our meta-analysis suggested that the rs156641 polymorphism in the LIG1 gene might be associated with an increased risk of lung cancer.

Entities:  

Keywords:  LIG1-polymorphism; Lung cancer; Meta-analysis; Mutation

Mesh:

Substances:

Year:  2015        PMID: 27352326     DOI: 10.1007/s12013-015-0619-3

Source DB:  PubMed          Journal:  Cell Biochem Biophys        ISSN: 1085-9195            Impact factor:   2.194


  3 in total

1.  Inflammation-Related LncRNAs Signature for Prognosis and Immune Response Evaluation in Uterine Corpus Endometrial Carcinoma.

Authors:  Hongmei Gu; Jiahang Song; Yizhang Chen; Yichun Wang; Xiaofang Tan; Hongyu Zhao
Journal:  Front Oncol       Date:  2022-06-02       Impact factor: 5.738

2.  Exploring the Molecular Mechanism of the Drug-Treated Breast Cancer Based on Gene Expression Microarray.

Authors:  Ali Mohamed Alshabi; Ibrahim Ahmed Shaikh; Chanabasayya Vastrad
Journal:  Biomolecules       Date:  2019-07-15

3.  Assessment of Adaptive Response of Gamma Radiation in the Operating Room Personnel Exposed to Anesthetic Gases by Measuring the Relative Gene Expression Changes Ku80, Ligase1 and P53.

Authors:  Rajabi Pour M; Fardid R; Zare T; Kargar Shouroki F; Mosleh-Shirazi M A; Behzad Behbahani A
Journal:  J Biomed Phys Eng       Date:  2020-04-01
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.