Cargando…
Comprehensive analysis of the functional microRNA–mRNA regulatory network identifies miRNA signatures associated with glioma malignant progression
Glioma is the most common and fatal primary brain tumour with poor prognosis; however, the functional roles of miRNAs in glioma malignant progression are insufficiently understood. Here, we used an integrated approach to identify miRNA functional targets during glioma malignant progression by combin...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3905890/ https://www.ncbi.nlm.nih.gov/pubmed/24194606 http://dx.doi.org/10.1093/nar/gkt1054 |
_version_ | 1782301400048336896 |
---|---|
author | Li, Yongsheng Xu, Juan Chen, Hong Bai, Jing Li, Shengli Zhao, Zheng Shao, Tingting Jiang, Tao Ren, Huan Kang, Chunsheng Li, Xia |
author_facet | Li, Yongsheng Xu, Juan Chen, Hong Bai, Jing Li, Shengli Zhao, Zheng Shao, Tingting Jiang, Tao Ren, Huan Kang, Chunsheng Li, Xia |
author_sort | Li, Yongsheng |
collection | PubMed |
description | Glioma is the most common and fatal primary brain tumour with poor prognosis; however, the functional roles of miRNAs in glioma malignant progression are insufficiently understood. Here, we used an integrated approach to identify miRNA functional targets during glioma malignant progression by combining the paired expression profiles of miRNAs and mRNAs across 160 Chinese glioma patients, and further constructed the functional miRNA–mRNA regulatory network. As a result, most tumour-suppressive miRNAs in glioma progression were newly discovered, whose functions were widely involved in gliomagenesis. Moreover, three miRNA signatures, with different combinations of hub miRNAs (regulations≥30) were constructed, which could independently predict the survival of patients with all gliomas, high-grade glioma and glioblastoma. Our network-based method increased the ability to identify the prognostic biomarkers, when compared with the traditional method and random conditions. Hsa-miR-524-5p and hsa-miR-628-5p, shared by these three signatures, acted as protective factors and their expression decreased gradually during glioma progression. Functional analysis of these miRNA signatures highlighted their critical roles in cell cycle and cell proliferation in glioblastoma malignant progression, especially hsa-miR-524-5p and hsa-miR-628-5p exhibited dominant regulatory activities. Therefore, network-based biomarkers are expected to be more effective and provide deep insights into the molecular mechanism of glioma malignant progression. |
format | Online Article Text |
id | pubmed-3905890 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-39058902014-01-29 Comprehensive analysis of the functional microRNA–mRNA regulatory network identifies miRNA signatures associated with glioma malignant progression Li, Yongsheng Xu, Juan Chen, Hong Bai, Jing Li, Shengli Zhao, Zheng Shao, Tingting Jiang, Tao Ren, Huan Kang, Chunsheng Li, Xia Nucleic Acids Res Methods Online Glioma is the most common and fatal primary brain tumour with poor prognosis; however, the functional roles of miRNAs in glioma malignant progression are insufficiently understood. Here, we used an integrated approach to identify miRNA functional targets during glioma malignant progression by combining the paired expression profiles of miRNAs and mRNAs across 160 Chinese glioma patients, and further constructed the functional miRNA–mRNA regulatory network. As a result, most tumour-suppressive miRNAs in glioma progression were newly discovered, whose functions were widely involved in gliomagenesis. Moreover, three miRNA signatures, with different combinations of hub miRNAs (regulations≥30) were constructed, which could independently predict the survival of patients with all gliomas, high-grade glioma and glioblastoma. Our network-based method increased the ability to identify the prognostic biomarkers, when compared with the traditional method and random conditions. Hsa-miR-524-5p and hsa-miR-628-5p, shared by these three signatures, acted as protective factors and their expression decreased gradually during glioma progression. Functional analysis of these miRNA signatures highlighted their critical roles in cell cycle and cell proliferation in glioblastoma malignant progression, especially hsa-miR-524-5p and hsa-miR-628-5p exhibited dominant regulatory activities. Therefore, network-based biomarkers are expected to be more effective and provide deep insights into the molecular mechanism of glioma malignant progression. Oxford University Press 2013-12 2013-11-03 /pmc/articles/PMC3905890/ /pubmed/24194606 http://dx.doi.org/10.1093/nar/gkt1054 Text en © The Author(s) 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methods Online Li, Yongsheng Xu, Juan Chen, Hong Bai, Jing Li, Shengli Zhao, Zheng Shao, Tingting Jiang, Tao Ren, Huan Kang, Chunsheng Li, Xia Comprehensive analysis of the functional microRNA–mRNA regulatory network identifies miRNA signatures associated with glioma malignant progression |
title | Comprehensive analysis of the functional microRNA–mRNA regulatory network identifies miRNA signatures associated with glioma malignant progression |
title_full | Comprehensive analysis of the functional microRNA–mRNA regulatory network identifies miRNA signatures associated with glioma malignant progression |
title_fullStr | Comprehensive analysis of the functional microRNA–mRNA regulatory network identifies miRNA signatures associated with glioma malignant progression |
title_full_unstemmed | Comprehensive analysis of the functional microRNA–mRNA regulatory network identifies miRNA signatures associated with glioma malignant progression |
title_short | Comprehensive analysis of the functional microRNA–mRNA regulatory network identifies miRNA signatures associated with glioma malignant progression |
title_sort | comprehensive analysis of the functional microrna–mrna regulatory network identifies mirna signatures associated with glioma malignant progression |
topic | Methods Online |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3905890/ https://www.ncbi.nlm.nih.gov/pubmed/24194606 http://dx.doi.org/10.1093/nar/gkt1054 |
work_keys_str_mv | AT liyongsheng comprehensiveanalysisofthefunctionalmicrornamrnaregulatorynetworkidentifiesmirnasignaturesassociatedwithgliomamalignantprogression AT xujuan comprehensiveanalysisofthefunctionalmicrornamrnaregulatorynetworkidentifiesmirnasignaturesassociatedwithgliomamalignantprogression AT chenhong comprehensiveanalysisofthefunctionalmicrornamrnaregulatorynetworkidentifiesmirnasignaturesassociatedwithgliomamalignantprogression AT baijing comprehensiveanalysisofthefunctionalmicrornamrnaregulatorynetworkidentifiesmirnasignaturesassociatedwithgliomamalignantprogression AT lishengli comprehensiveanalysisofthefunctionalmicrornamrnaregulatorynetworkidentifiesmirnasignaturesassociatedwithgliomamalignantprogression AT zhaozheng comprehensiveanalysisofthefunctionalmicrornamrnaregulatorynetworkidentifiesmirnasignaturesassociatedwithgliomamalignantprogression AT shaotingting comprehensiveanalysisofthefunctionalmicrornamrnaregulatorynetworkidentifiesmirnasignaturesassociatedwithgliomamalignantprogression AT jiangtao comprehensiveanalysisofthefunctionalmicrornamrnaregulatorynetworkidentifiesmirnasignaturesassociatedwithgliomamalignantprogression AT renhuan comprehensiveanalysisofthefunctionalmicrornamrnaregulatorynetworkidentifiesmirnasignaturesassociatedwithgliomamalignantprogression AT kangchunsheng comprehensiveanalysisofthefunctionalmicrornamrnaregulatorynetworkidentifiesmirnasignaturesassociatedwithgliomamalignantprogression AT lixia comprehensiveanalysisofthefunctionalmicrornamrnaregulatorynetworkidentifiesmirnasignaturesassociatedwithgliomamalignantprogression |