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...

Descripción completa

Detalles Bibliográficos
Autores principales: Gao, Fu’an, Zhu, Yuntao
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