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Analysis of microarray data for identification of key microRNA signatures in glioblastoma multiforme
Glioblastoma multiforme (GBM) is one of the most malignant types of glioma known for its reduced survival rate and rapid relapse. Previous studies have shown that the expression patterns of different microRNAs (miRNA/miR) play a crucial role in the development and progression of GBM. In order to ide...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6614686/ https://www.ncbi.nlm.nih.gov/pubmed/31423264 http://dx.doi.org/10.3892/ol.2019.10521 |
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author | Shaji, Sanu K. Sunilkumar, Damu Mahalakshmi, N.V. Kumar, Geetha B. Nair, Bipin G. |
author_facet | Shaji, Sanu K. Sunilkumar, Damu Mahalakshmi, N.V. Kumar, Geetha B. Nair, Bipin G. |
author_sort | Shaji, Sanu K. |
collection | PubMed |
description | Glioblastoma multiforme (GBM) is one of the most malignant types of glioma known for its reduced survival rate and rapid relapse. Previous studies have shown that the expression patterns of different microRNAs (miRNA/miR) play a crucial role in the development and progression of GBM. In order to identify potential miRNA signatures of GBM for prognostic and therapeutic purposes, we downloaded and analyzed two expression data sets from Gene Expression Omnibus profiling miRNA patterns of GBM compared with normal brain tissues. Validated targets of the deregulated miRNAs were identified using MirTarBase, and were mapped to Search Tool for the Retrieval of Interacting Genes/Proteins, Database for Annotation, Visualization and Integrated Discovery and Kyoto Encyclopedia of Genes and Genomes databases in order to construct interaction networks and identify enriched pathways of target genes. A total of 6 miRNAs were found to be deregulated in both expression datasets studied. Pathway analysis demonstrated that most of the target genes were enriched in signaling cascades connected to cancer development, such as ‘Pathways in cancer’, ‘Focal adhesion’ and ‘PI3K-Akt signaling pathway’. Of the five target genes that were enriched in the glioblastoma pathway, in the WikiPathway database, both HRas proto-oncogene, GTPase and MET proto-oncogene, receptor tyrosine kinase target genes of hsa-miR-139-5p, were found to be significantly associated with patient survival. The present study may thus form the basis for further exploration of hsa-miR-139-5p, not only as a therapeutic agent, but also as a diagnostic biomarker for GBM as well as a predictive marker for patient survival. |
format | Online Article Text |
id | pubmed-6614686 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-66146862019-08-18 Analysis of microarray data for identification of key microRNA signatures in glioblastoma multiforme Shaji, Sanu K. Sunilkumar, Damu Mahalakshmi, N.V. Kumar, Geetha B. Nair, Bipin G. Oncol Lett Articles Glioblastoma multiforme (GBM) is one of the most malignant types of glioma known for its reduced survival rate and rapid relapse. Previous studies have shown that the expression patterns of different microRNAs (miRNA/miR) play a crucial role in the development and progression of GBM. In order to identify potential miRNA signatures of GBM for prognostic and therapeutic purposes, we downloaded and analyzed two expression data sets from Gene Expression Omnibus profiling miRNA patterns of GBM compared with normal brain tissues. Validated targets of the deregulated miRNAs were identified using MirTarBase, and were mapped to Search Tool for the Retrieval of Interacting Genes/Proteins, Database for Annotation, Visualization and Integrated Discovery and Kyoto Encyclopedia of Genes and Genomes databases in order to construct interaction networks and identify enriched pathways of target genes. A total of 6 miRNAs were found to be deregulated in both expression datasets studied. Pathway analysis demonstrated that most of the target genes were enriched in signaling cascades connected to cancer development, such as ‘Pathways in cancer’, ‘Focal adhesion’ and ‘PI3K-Akt signaling pathway’. Of the five target genes that were enriched in the glioblastoma pathway, in the WikiPathway database, both HRas proto-oncogene, GTPase and MET proto-oncogene, receptor tyrosine kinase target genes of hsa-miR-139-5p, were found to be significantly associated with patient survival. The present study may thus form the basis for further exploration of hsa-miR-139-5p, not only as a therapeutic agent, but also as a diagnostic biomarker for GBM as well as a predictive marker for patient survival. D.A. Spandidos 2019-08 2019-06-24 /pmc/articles/PMC6614686/ /pubmed/31423264 http://dx.doi.org/10.3892/ol.2019.10521 Text en Copyright: © Shaji et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Articles Shaji, Sanu K. Sunilkumar, Damu Mahalakshmi, N.V. Kumar, Geetha B. Nair, Bipin G. Analysis of microarray data for identification of key microRNA signatures in glioblastoma multiforme |
title | Analysis of microarray data for identification of key microRNA signatures in glioblastoma multiforme |
title_full | Analysis of microarray data for identification of key microRNA signatures in glioblastoma multiforme |
title_fullStr | Analysis of microarray data for identification of key microRNA signatures in glioblastoma multiforme |
title_full_unstemmed | Analysis of microarray data for identification of key microRNA signatures in glioblastoma multiforme |
title_short | Analysis of microarray data for identification of key microRNA signatures in glioblastoma multiforme |
title_sort | analysis of microarray data for identification of key microrna signatures in glioblastoma multiforme |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6614686/ https://www.ncbi.nlm.nih.gov/pubmed/31423264 http://dx.doi.org/10.3892/ol.2019.10521 |
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