Cargando…
Association between miRNA polymorphisms and susceptibility to brain tumors: A meta-analysis
BACKGROUND: Previous studies have demonstrated that single-nucleotide polymorphisms (SNPs) in miRNAs are related to the susceptibility to brain tumors, but the conclusions remain controversial. This study was to perform a meta-analysis to re-assess the associations between miRNA SNPs and brain tumor...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6736466/ https://www.ncbi.nlm.nih.gov/pubmed/31464930 http://dx.doi.org/10.1097/MD.0000000000016933 |
_version_ | 1783450521704595456 |
---|---|
author | Gao, Fu’an Zhu, Yuntao |
author_facet | Gao, Fu’an Zhu, Yuntao |
author_sort | Gao, Fu’an |
collection | PubMed |
description | BACKGROUND: Previous studies have demonstrated that single-nucleotide polymorphisms (SNPs) in miRNAs are related to the susceptibility to brain tumors, but the conclusions remain controversial. This study was to perform a meta-analysis to re-assess the associations between miRNA SNPs and brain tumor risk. METHODS: Relevant studies were identified in the databases of PubMed and the Cochrane Library databases. Pooled odds ratio (OR) and 95% confidence interval (95% CI) were calculated to assess the relationships between SNPs and the risk of brain tumors under various genetic models by the STATA software. RESULTS: Five studies, containing 2275 cases, and 2323 controls, were included, 4 of which evaluated miR-196a2 (rs11614913), 3 for miR-146a (rs2910164) and 2 for miR-499 (rs3746444) and miR-149 (rs2292832), respectively. The meta-analysis indicated that the GG genotype carriers of miR-146a were more susceptible to brain tumors compared with GC genotype carriers (OR = 1.19, 95%CI = 1.01–1.41, P = .036). No significant associations were observed between the SNPs of other miRNAs and the risk of brain tumors. Furthermore, all miRNA polymorphisms did not show significant associations with the risk of glioma subgroup in any genetic models, while meta-analysis of non-glioma subgroup could not be performed due to low statistical power and analysis of only 1 study. CONCLUSION: Our study suggests that miR-146a polymorphism may modify the risk for brain tumors, but which type (glioma or benign non-glioma tumors) should be verified with large sample size. |
format | Online Article Text |
id | pubmed-6736466 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-67364662019-10-02 Association between miRNA polymorphisms and susceptibility to brain tumors: A meta-analysis Gao, Fu’an Zhu, Yuntao Medicine (Baltimore) 5700 BACKGROUND: Previous studies have demonstrated that single-nucleotide polymorphisms (SNPs) in miRNAs are related to the susceptibility to brain tumors, but the conclusions remain controversial. This study was to perform a meta-analysis to re-assess the associations between miRNA SNPs and brain tumor risk. METHODS: Relevant studies were identified in the databases of PubMed and the Cochrane Library databases. Pooled odds ratio (OR) and 95% confidence interval (95% CI) were calculated to assess the relationships between SNPs and the risk of brain tumors under various genetic models by the STATA software. RESULTS: Five studies, containing 2275 cases, and 2323 controls, were included, 4 of which evaluated miR-196a2 (rs11614913), 3 for miR-146a (rs2910164) and 2 for miR-499 (rs3746444) and miR-149 (rs2292832), respectively. The meta-analysis indicated that the GG genotype carriers of miR-146a were more susceptible to brain tumors compared with GC genotype carriers (OR = 1.19, 95%CI = 1.01–1.41, P = .036). No significant associations were observed between the SNPs of other miRNAs and the risk of brain tumors. Furthermore, all miRNA polymorphisms did not show significant associations with the risk of glioma subgroup in any genetic models, while meta-analysis of non-glioma subgroup could not be performed due to low statistical power and analysis of only 1 study. CONCLUSION: Our study suggests that miR-146a polymorphism may modify the risk for brain tumors, but which type (glioma or benign non-glioma tumors) should be verified with large sample size. Wolters Kluwer Health 2019-08-30 /pmc/articles/PMC6736466/ /pubmed/31464930 http://dx.doi.org/10.1097/MD.0000000000016933 Text en Copyright © 2019 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0 |
spellingShingle | 5700 Gao, Fu’an Zhu, Yuntao Association between miRNA polymorphisms and susceptibility to brain tumors: A meta-analysis |
title | Association between miRNA polymorphisms and susceptibility to brain tumors: A meta-analysis |
title_full | Association between miRNA polymorphisms and susceptibility to brain tumors: A meta-analysis |
title_fullStr | Association between miRNA polymorphisms and susceptibility to brain tumors: A meta-analysis |
title_full_unstemmed | Association between miRNA polymorphisms and susceptibility to brain tumors: A meta-analysis |
title_short | Association between miRNA polymorphisms and susceptibility to brain tumors: A meta-analysis |
title_sort | association between mirna polymorphisms and susceptibility to brain tumors: a meta-analysis |
topic | 5700 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6736466/ https://www.ncbi.nlm.nih.gov/pubmed/31464930 http://dx.doi.org/10.1097/MD.0000000000016933 |
work_keys_str_mv | AT gaofuan associationbetweenmirnapolymorphismsandsusceptibilitytobraintumorsametaanalysis AT zhuyuntao associationbetweenmirnapolymorphismsandsusceptibilitytobraintumorsametaanalysis |