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MicroRNA Expression Profile Distinguishes Glioblastoma Stem Cells from Differentiated Tumor Cells
Glioblastoma (GBM) represents the most common and aggressive tumor of the brain. Despite the fact that several studies have recently addressed the molecular mechanisms underlying the disease, its etiology and pathogenesis are still poorly understood. GBM displays poor prognosis and its resistance to...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8066769/ https://www.ncbi.nlm.nih.gov/pubmed/33916317 http://dx.doi.org/10.3390/jpm11040264 |
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author | Tomei, Sara Volontè, Andrea Ravindran, Shilpa Mazzoleni, Stefania Wang, Ena Galli, Rossella Maccalli, Cristina |
author_facet | Tomei, Sara Volontè, Andrea Ravindran, Shilpa Mazzoleni, Stefania Wang, Ena Galli, Rossella Maccalli, Cristina |
author_sort | Tomei, Sara |
collection | PubMed |
description | Glioblastoma (GBM) represents the most common and aggressive tumor of the brain. Despite the fact that several studies have recently addressed the molecular mechanisms underlying the disease, its etiology and pathogenesis are still poorly understood. GBM displays poor prognosis and its resistance to common therapeutic approaches makes it a highly recurrent tumor. Several studies have identified a subpopulation of tumor cells, known as GBM cancer stem cells (CSCs) characterized by the ability of self-renewal, tumor initiation and propagation. GBM CSCs have been shown to survive GBM chemotherapy and radiotherapy. Thus, targeting CSCs represents a promising approach to treat GBM. Recent evidence has shown that GBM is characterized by a dysregulated expression of microRNA (miRNAs). In this study we have investigated the difference between human GBM CSCs and their paired autologous differentiated tumor cells. Array-based profiling and quantitative Real-Time PCR (qRT-PCR) were performed to identify miRNAs differentially expressed in CSCs. The Cancer Genome Atlas (TCGA) data were also interrogated, and functional interpretation analysis was performed. We have identified 14 miRNAs significantly differentially expressed in GBM CSCs (p < 0.005). MiR-21 and miR-95 were among the most significantly deregulated miRNAs, and their expression was also associated to patient survival. We believe that the data provided here carry important implications for future studies aiming at elucidating the molecular mechanisms underlying GBM. |
format | Online Article Text |
id | pubmed-8066769 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-80667692021-04-25 MicroRNA Expression Profile Distinguishes Glioblastoma Stem Cells from Differentiated Tumor Cells Tomei, Sara Volontè, Andrea Ravindran, Shilpa Mazzoleni, Stefania Wang, Ena Galli, Rossella Maccalli, Cristina J Pers Med Article Glioblastoma (GBM) represents the most common and aggressive tumor of the brain. Despite the fact that several studies have recently addressed the molecular mechanisms underlying the disease, its etiology and pathogenesis are still poorly understood. GBM displays poor prognosis and its resistance to common therapeutic approaches makes it a highly recurrent tumor. Several studies have identified a subpopulation of tumor cells, known as GBM cancer stem cells (CSCs) characterized by the ability of self-renewal, tumor initiation and propagation. GBM CSCs have been shown to survive GBM chemotherapy and radiotherapy. Thus, targeting CSCs represents a promising approach to treat GBM. Recent evidence has shown that GBM is characterized by a dysregulated expression of microRNA (miRNAs). In this study we have investigated the difference between human GBM CSCs and their paired autologous differentiated tumor cells. Array-based profiling and quantitative Real-Time PCR (qRT-PCR) were performed to identify miRNAs differentially expressed in CSCs. The Cancer Genome Atlas (TCGA) data were also interrogated, and functional interpretation analysis was performed. We have identified 14 miRNAs significantly differentially expressed in GBM CSCs (p < 0.005). MiR-21 and miR-95 were among the most significantly deregulated miRNAs, and their expression was also associated to patient survival. We believe that the data provided here carry important implications for future studies aiming at elucidating the molecular mechanisms underlying GBM. MDPI 2021-04-01 /pmc/articles/PMC8066769/ /pubmed/33916317 http://dx.doi.org/10.3390/jpm11040264 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Tomei, Sara Volontè, Andrea Ravindran, Shilpa Mazzoleni, Stefania Wang, Ena Galli, Rossella Maccalli, Cristina MicroRNA Expression Profile Distinguishes Glioblastoma Stem Cells from Differentiated Tumor Cells |
title | MicroRNA Expression Profile Distinguishes Glioblastoma Stem Cells from Differentiated Tumor Cells |
title_full | MicroRNA Expression Profile Distinguishes Glioblastoma Stem Cells from Differentiated Tumor Cells |
title_fullStr | MicroRNA Expression Profile Distinguishes Glioblastoma Stem Cells from Differentiated Tumor Cells |
title_full_unstemmed | MicroRNA Expression Profile Distinguishes Glioblastoma Stem Cells from Differentiated Tumor Cells |
title_short | MicroRNA Expression Profile Distinguishes Glioblastoma Stem Cells from Differentiated Tumor Cells |
title_sort | microrna expression profile distinguishes glioblastoma stem cells from differentiated tumor cells |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8066769/ https://www.ncbi.nlm.nih.gov/pubmed/33916317 http://dx.doi.org/10.3390/jpm11040264 |
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