GSTM1 polymorphism and lung cancer risk among East Asian populations: a meta-analysis

Tumor Biology ◽  
2014 ◽  
Vol 35 (7) ◽  
pp. 6493-6500 ◽  
Author(s):  
Yan Zhao ◽  
Junjie Zeng ◽  
Yanxi Zhang ◽  
Su Lu ◽  
Erjiang Zhao ◽  
...  
PLoS ONE ◽  
2013 ◽  
Vol 8 (4) ◽  
pp. e62181 ◽  
Author(s):  
Xin Yang ◽  
Man-Tang Qiu ◽  
Jing-Wen Hu ◽  
Xiao-xiao Wang ◽  
Feng Jiang ◽  
...  

2018 ◽  
Vol 2018 ◽  
pp. 1-16
Author(s):  
Fengming Yang ◽  
Zhiqiang Qin ◽  
Chuchu Shao ◽  
Weitao Liu ◽  
Ling Ma ◽  
...  

Background and Objective. The association between vascular endothelial growth factor (VEGF) gene polymorphisms (-2578C/A, +936C/T, and -460C/T) and lung cancer risk has been extensively studied in the last decades, but currently available results remain controversial or ambiguous. Therefore, we conducted a meta-analysis to assess whether the relationship between the VEGF gene and lung cancer susceptibility exists.Methods. The meta-analysis was conducted by searching the databases PubMed, Embase, and Web of Science covering all eligible studies published up to October 1, 2017. The pooled odds ratios (ORs) as well as their 95% confidence intervals (CIs) were utilized to evaluate the possible associations. Publication bias of relevant studies was examined via Begg’s funnel plots and Egger’s regression tests.Results. This meta-analysis included 13 published case–control studies covering 4477 patients with lung cancer and 4346 healthy controls, who had been accrued from December 1992 to July 2012. For the overall eligible data collected in our meta-analysis, it indicated that VEGF +936C/T, -460C/T, and -2578C/A polymorphisms did not correlate with the elevated lung cancer risk in all genetic comparison models. Moreover, VEGF +460T/C polymorphism was found to be significantly associated with susceptibility to lung cancer in these models (allele model: pooled OR = 1.12, 95% CI: 1.00–1.26,P= 0.184; homozygote model: pooled OR = 1.51, 95% CI: 1.12–2.03,P= 0.821), but no significant results were detected in Caucasian populations.Conclusions. VEGF +936C/T, -460C/T, and -2578C/A polymorphisms were not associated with the risk of lung cancer. The VEGF +460T/C polymorphism might be a risk factor for lung cancer only in Asian populations.


BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hui Zeng ◽  
Zhuoyu Yang ◽  
Jiang Li ◽  
Yan Wen ◽  
Zheng Wu ◽  
...  

Abstract Background Published findings suggest sex differences in lung cancer risk and a potential role for sex steroid hormones. Our aim was to perform a meta-analysis to investigate the effects of sex steroid hormone exposure specifically on the risk of lung cancer in women. Methods The PubMed, MEDLINE, Web of Science, and EMBASE databases were searched. The pooled odds ratios (ORs) and 95% confidence intervals (95% CIs) for female lung cancer risk associated with sex steroid hormones were calculated overall and by study design, publication year, population, and smoking status. Sensitivity analysis, publication bias, and subgroup analysis were performed. Results Forty-eight studies published between 1987 and 2019 were included in the study with a total of 31,592 female lung cancer cases and 1,416,320 subjects without lung cancer. Overall, higher levels of sex steroid hormones, both endogenous (OR: 0.92, 95% CI: 0.87–0.98) and exogenous (OR: 0.86, 95% CI: 0.80–0.93), significantly decreased the risk of female lung cancer by 10% (OR: 0.90, 95% CI: 0.86–0.95). The risk of lung cancer decreased more significantly with a higher level of sex steroid hormones in non-smoking women (OR: 0.88, 95% CI: 0.78–0.99) than in smoking women (OR: 0.98, 95% CI: 0.77–1.03), especially in Asia women (OR: 0.84, 95% CI: 0.74–0.96). Conclusions Our meta-analysis reveals an association between higher levels of sex steroid hormone exposure and the decreased risk of female lung cancer. Surveillance of sex steroid hormones might be used for identifying populations at high risk for lung cancer, especially among non-smoking women.


2015 ◽  
Vol 15 (23) ◽  
pp. 10325-10328 ◽  
Author(s):  
Ying-Ze Huang ◽  
Wei Wu ◽  
Kun Wu ◽  
Xiao-Ning Xu ◽  
Wen-Ru Tang

PLoS ONE ◽  
2013 ◽  
Vol 8 (10) ◽  
pp. e76252 ◽  
Author(s):  
Xuzai Lu ◽  
Juntao Ke ◽  
Xia Luo ◽  
Yaowu Zhu ◽  
Li Zou ◽  
...  

2019 ◽  
Vol 14 (10) ◽  
pp. S956
Author(s):  
H. Chen ◽  
L. Wu ◽  
X. Li ◽  
Y. Zhu ◽  
K. Du ◽  
...  

2014 ◽  
Vol 66 (4) ◽  
pp. 539-549 ◽  
Author(s):  
Jian Song ◽  
Hong Su ◽  
Bao-long Wang ◽  
Yang-yang Zhou ◽  
Liang-Liang Guo

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