Author(s)

Rongce Zhao¹, Jing Zhou², Fei Liu¹, Yonggang Wei¹, Kefei Chen¹, Bo Li^1*

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.

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.

miR-196a2, rs11614913, Polymorphism, Digestive System Cancers, Meta-Analysis

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.