Literature DB >> 25455160

The association between miR-146a gene rs2910164 polymorphism and gastric cancer risk: a meta-analysis.

Bo Fu1, Peng Song1, Ming Lu1, Baolin Wang1, Qinghong Zhao2.   

Abstract

PURPOSE: Studies have demonstrated that single nucleotide polymorphisms (SNPs) in miRNAs may lead to varying functional outcomes by altering miRNAs expression, even leading to the development of cancers. The association between a single nucleotide polymorphism (SNP) in miR-146a rs2910164 and susceptibility to gastric cancer has been studied during the recent years, but the results are still inconclusive and inconsistent. We performed a meta-analysis to evaluate the relationship between miR-146a rs2910164 polymorphism and the risk of gastric cancer.
MATERIALS AND METHODS: The databases of PubMed, MEDLINE and Web of Science were searched for suitable studies. A total of 8 published case-control studies on miR-146a rs2910164 polymorphism and gastric cancer risk including 4308 cases and 6370 controls were included.
RESULTS: Overall, significant association was observed between rs2910164 and gastric cancer risk in allele model (OR=1.11, 95% CI=1.02-1.21); homozygote model (OR=1.26, 95% CI=1.10-1.43) and dominant model (OR=1.21, 95% CI=1.09-1.34). Stratified analysis by ethnicity showed significant association between rs2910164 polymorphism and gastric cancer susceptibility in Asians (OR=1.10, 95% CI=1.00-1.23 for G vs. C; OR=1.25, 95% CI=1.09-1.43 for GG vs. CC; OR=1.19, 95% CI=1.07-1.33 for GG vs. GC+CC, respectively). When stratified by genotyping methods and sample size, increased gastric cancer risk was only observed with the method by TaqMan and the sample size more than 1000.
CONCLUSION: In summary, this meta-analysis indicated that miR-146a rs2910164 polymorphism was associated with the susceptibility to gastric cancer, especially in Asian population.
Copyright © 2014. Published by Elsevier Masson SAS.

Entities:  

Keywords:  Gastric cancer risk; Meta-analysis; Polymorphism; miR-146a

Mesh:

Substances:

Year:  2014        PMID: 25455160     DOI: 10.1016/j.biopha.2014.10.002

Source DB:  PubMed          Journal:  Biomed Pharmacother        ISSN: 0753-3322            Impact factor:   6.529


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