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Association Between miR-146a rs2910164 Polymorphism and Breast Cancer Susceptibility: An Updated Meta-Analysis of 9545 Cases and 10030 Controls
- Source :
- MicroRNA. 10:191-199
- Publication Year :
- 2021
- Publisher :
- Bentham Science Publishers Ltd., 2021.
-
Abstract
- Background: Several studies have reported a possible association of miR-146a rs2910164 polymorphism with Breast Cancer (BC) development. However, the correlation between this polymorphism and susceptibility to BC is under debate. The current meta-analysis was designed and performed to more conclusively evaluate the miR-146a rs2910164 polymorphism and its potential link to BC. Methods: Our team has selected eligible studies (published up to October 2, 2020) from several electronic databases, including Web of Science, PubMed, Scopus and Google Scholar. A total number of 9,545 BC cases and 10,030 controls extracted from 26 eligible articles were included in this study. We utilized pooled Odds Ratios (ORs) as well as 95% confidence intervals (95% CIs) under five genetic models for quantitative estimation of any possible association between miR-146a rs2910164 polymorphism and BC. Results: Based on this meta-analysis, our findings suggest that there is no significant association between miR-146a rs2910164 polymorphism and BC risk. However, stratified analysis revealed that the rs2910164 polymorphism significantly increased the risk of BC in hospital-based studies using the homozygous genetic model (OR=1.37, 95%CI=1.01-1.86, p=0.043, CC vs. GG). Neither Asian nor Caucasian populations showed any significant association between rs2910164 polymorphism and BC susceptibility. Conclusion: In summary, our findings suggest that BC development is not associated with miR-146a rs2910164 polymorphism. However, larger ingenious future investigations might be needed for a more precise estimation of any association between miR-146a rs2910164 polymorphism and BC.
- Subjects :
- Oncology
medicine.medical_specialty
Web of science
business.industry
General Medicine
Odds ratio
medicine.disease
Confidence interval
Stratified analysis
Breast cancer
Polymorphism (computer science)
Internal medicine
Meta-analysis
Genetic model
Emergency Medicine
Medicine
Orthopedics and Sports Medicine
business
Subjects
Details
- ISSN :
- 22115366
- Volume :
- 10
- Database :
- OpenAIRE
- Journal :
- MicroRNA
- Accession number :
- edsair.doi...........1c5ccde5bb714eb8e994ca03b89a61c9
- Full Text :
- https://doi.org/10.2174/2211536610666210707113229