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Role of downregulated miR-133a-3p expression in bladder cancer: a bioinformatics study

It has been discovered that miR-133a-3p acts as a tumor suppressor in bladder cancer (BC). Nevertheless, the function of miR-133a-3p in BC remains unclarified. Thus, we carried out this study to validate the expression of miR-133a-3p in BC and provide insights into the molecular mechanism underlying...

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Autores principales: Gao, Li, Li, Sheng-Hua, Tian, Yi-Xin, Zhu, Qing-Qing, Chen, Gang, Pang, Yu-Yan, Hu, Xiao-Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5530854/
https://www.ncbi.nlm.nih.gov/pubmed/28790856
http://dx.doi.org/10.2147/OTT.S137433
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author Gao, Li
Li, Sheng-Hua
Tian, Yi-Xin
Zhu, Qing-Qing
Chen, Gang
Pang, Yu-Yan
Hu, Xiao-Hua
author_facet Gao, Li
Li, Sheng-Hua
Tian, Yi-Xin
Zhu, Qing-Qing
Chen, Gang
Pang, Yu-Yan
Hu, Xiao-Hua
author_sort Gao, Li
collection PubMed
description It has been discovered that miR-133a-3p acts as a tumor suppressor in bladder cancer (BC). Nevertheless, the function of miR-133a-3p in BC remains unclarified. Thus, we carried out this study to validate the expression of miR-133a-3p in BC and provide insights into the molecular mechanism underlying it. To assess the expression of miR-133a-3p in BC, we searched eligible studies from literature and Gene expression Omnibus (GEO) to perform a meta-analysis. We also plotted the summary receiver operating characteristic (SROC) curve to evaluate the diagnostic ability of miR-133a-3p in BC. Additionally, the potential target genes of miR-133a-3p were acquired from 14 online software programs and GEO database. Protein-protein interaction (PPI) network was created to identify the hub genes. Then, Gene Ontology (GO) functional annotation analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were carried out to investigate the regulatory network of the target genes. From the meta-analysis, miR-133a-3p was remarkably downregulated in BC tissues compared with that in non-cancer tissues (standard mean difference =−3.84, 95% confidence interval =−6.99–0.29). Moreover, results from SROC suggested that miR-133a-3p exhibited the ability to diagnose BC (area under curve =0.8418). As for the bioinformatics study, 488 genes were chosen as the potential targets of miR-133a-3p in BC, among which 10 genes were defined as hub genes (all degrees >5). Further GO and KEGG pathway analysis indicated that the target genes of miR-133a-3p aggregated in specific biological process and pathways. In conclusion, miR-133a-3p possessed great diagnostic potential with its downregulation in BC, and miR-133a-3p might serve as a novel biomarker for BC.
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spelling pubmed-55308542017-08-08 Role of downregulated miR-133a-3p expression in bladder cancer: a bioinformatics study Gao, Li Li, Sheng-Hua Tian, Yi-Xin Zhu, Qing-Qing Chen, Gang Pang, Yu-Yan Hu, Xiao-Hua Onco Targets Ther Original Research It has been discovered that miR-133a-3p acts as a tumor suppressor in bladder cancer (BC). Nevertheless, the function of miR-133a-3p in BC remains unclarified. Thus, we carried out this study to validate the expression of miR-133a-3p in BC and provide insights into the molecular mechanism underlying it. To assess the expression of miR-133a-3p in BC, we searched eligible studies from literature and Gene expression Omnibus (GEO) to perform a meta-analysis. We also plotted the summary receiver operating characteristic (SROC) curve to evaluate the diagnostic ability of miR-133a-3p in BC. Additionally, the potential target genes of miR-133a-3p were acquired from 14 online software programs and GEO database. Protein-protein interaction (PPI) network was created to identify the hub genes. Then, Gene Ontology (GO) functional annotation analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were carried out to investigate the regulatory network of the target genes. From the meta-analysis, miR-133a-3p was remarkably downregulated in BC tissues compared with that in non-cancer tissues (standard mean difference =−3.84, 95% confidence interval =−6.99–0.29). Moreover, results from SROC suggested that miR-133a-3p exhibited the ability to diagnose BC (area under curve =0.8418). As for the bioinformatics study, 488 genes were chosen as the potential targets of miR-133a-3p in BC, among which 10 genes were defined as hub genes (all degrees >5). Further GO and KEGG pathway analysis indicated that the target genes of miR-133a-3p aggregated in specific biological process and pathways. In conclusion, miR-133a-3p possessed great diagnostic potential with its downregulation in BC, and miR-133a-3p might serve as a novel biomarker for BC. Dove Medical Press 2017-07-20 /pmc/articles/PMC5530854/ /pubmed/28790856 http://dx.doi.org/10.2147/OTT.S137433 Text en © 2017 Gao et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Gao, Li
Li, Sheng-Hua
Tian, Yi-Xin
Zhu, Qing-Qing
Chen, Gang
Pang, Yu-Yan
Hu, Xiao-Hua
Role of downregulated miR-133a-3p expression in bladder cancer: a bioinformatics study
title Role of downregulated miR-133a-3p expression in bladder cancer: a bioinformatics study
title_full Role of downregulated miR-133a-3p expression in bladder cancer: a bioinformatics study
title_fullStr Role of downregulated miR-133a-3p expression in bladder cancer: a bioinformatics study
title_full_unstemmed Role of downregulated miR-133a-3p expression in bladder cancer: a bioinformatics study
title_short Role of downregulated miR-133a-3p expression in bladder cancer: a bioinformatics study
title_sort role of downregulated mir-133a-3p expression in bladder cancer: a bioinformatics study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5530854/
https://www.ncbi.nlm.nih.gov/pubmed/28790856
http://dx.doi.org/10.2147/OTT.S137433
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