scholarly journals Association between TGF-β1 Polymorphisms and Head and Neck Cancer Risk: A Meta-Analysis

2017 ◽  
Vol 8 ◽  
Author(s):  
Quan Shi ◽  
Xing Wang ◽  
Chuan Cai ◽  
Shuo Yang ◽  
Na Huo ◽  
...  
PLoS ONE ◽  
2013 ◽  
Vol 8 (4) ◽  
pp. e62023 ◽  
Author(s):  
Caiyun Zhang ◽  
Chao Li ◽  
Minhui Zhu ◽  
Qingzhou Zhang ◽  
Zhenghua Xie ◽  
...  

PLoS ONE ◽  
2013 ◽  
Vol 8 (9) ◽  
pp. e74059 ◽  
Author(s):  
Yin Lou ◽  
Wen-jia Peng ◽  
Dong-sheng Cao ◽  
Juan Xie ◽  
Hong-hong Li ◽  
...  

2018 ◽  
Vol 38 (1) ◽  
Author(s):  
Dezhong Sun ◽  
Xiaoyan Zhang ◽  
Xiaolei Zhang

Several studies have evaluated the association of miR-146a C/G with head and neck cancer (HNC) susceptibility, and overall cancer risk, but with inconclusive outcomes. To drive a more precise estimation, we carried out this meta-analysis. The literature was searched from MEDLINE (mainly PubMed), Embase, the Cochrane Library, and Google Scholar databases to identify eligible studies. A total of 89 studies were included. The results showed that miR-146a C/G was significantly associated with increased HNC risk in dominant model (I2 =15.6%, Pheterogeneity=0.282, odds ratio (OR) =1.088, 95% confidence interval (CI) =1.002–1.182, P=0.044). However, no cancer risk was detected under all genetic models. By further stratified analysis, we found that rs4919510 mutation contributed to the risk of HNC amongst Asians under homozygote model (I2 =0, Pheterogeneity=0.541, OR =1.189, 95% CI =1.025–1.378, P=0.022), and dominant model (I2 =0, Pheterogeneity=0.959, OR =1.155, 95% CI =1.016–1.312, P=0.028). Simultaneously, in the stratified analysis by source of controls, a significantly increased cancer risk amongst population-based studies was found under homozygote model, dominant model, recessive model, and allele comparison model. However, no significant association was found in the stratified analysis by ethnicity and source of control. The results indicated that miR-146a C/G polymorphism may contribute to the increased HNC susceptibility and could be a promising target to forecast cancer risk for clinical practice. However, no significant association was found in subgroup analysis by ethnicity and source of control. To further confirm these results, well-designed large-scale case–control studies are needed in the future.


2015 ◽  
Vol 16 (9) ◽  
pp. 3871-3874 ◽  
Author(s):  
Xiang-Jun Chen ◽  
Tao-You Zhou ◽  
Min Chen ◽  
Nian Li ◽  
Fang Liu

PLoS ONE ◽  
2013 ◽  
Vol 8 (2) ◽  
pp. e56294 ◽  
Author(s):  
Caiyun Zhang ◽  
Xicheng Song ◽  
Minhui Zhu ◽  
Song Shi ◽  
Meng Li ◽  
...  

Onkologie ◽  
2012 ◽  
Vol 35 (11) ◽  
pp. 666-670 ◽  
Author(s):  
Yaowei Zhang ◽  
Yang Bai ◽  
Yong Zhang ◽  
Jian Guan ◽  
Longhua Chen

Sign in / Sign up

Export Citation Format

Share Document