The Association between miR-196a2 rs11614913 Polymorphism and Digestive System Cancer Risk: A Meta-Analysis of 34 Studies ()
Affiliation(s)
1Department of Liver Surgery and Liver Transplantation Center, West China Hospital, Sichuan University, Chengdu, China.
2Department of Medical Oncology, Cancer Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
ABSTRACT
Background: MicroRNAs (miRNAs) negatively regulate the gene expression and act as tumor suppressors or oncogenes in carcinogenesis. The association between single nucleotide polymorphism (SNP) in miR-196a2 rs11614913 and the susceptibility of digestive system cancers was inconsistent in previous studies. Methods: A standardized search of PubMed, Embase, and Cochrane library databases for publications on miR-196a2 rs11614913 polymorphism and digestive system cancer risk was performed. Then the genotype data were analyzed in a meta-analysis. Odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to evaluate the association. Test of heterogeneity, sensitivity analysis and assessment of publication bias were conducted in the present meta-analysis by STATA software 12.0. Results: An updated meta-analysis based on 34 independent case-control studies consisting of 13,013 cases and 16,046 controls was performed to address this association. There was a remarkable association between miR-196a2 rs11614913 polymorphism and overall digestive system cancer risk, especially in Asian populations. Moreover, subgroup analysis revealed that variant C allele increased risk of colorectal carcinoma, gastric cancer and hepatocellular carcinoma (HCC), compared with wild T allele. Conclusions: There was a remarkable association between miR-196a2 rs11614913 polymorphism and overall digestive system cancer risk, especially in Asian populations.
Share and Cite:
Zhao, R. , Zhou, J. , Liu, F. , Wei, Y. , Chen, K. and Li, B. (2016) The Association between miR-196a2 rs11614913 Polymorphism and Digestive System Cancer Risk: A Meta-Analysis of 34 Studies.
Open Journal of Internal Medicine,
6, 112-127. doi:
10.4236/ojim.2016.64017.