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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...

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Autores principales: Tomei, Sara, Volontè, Andrea, Ravindran, Shilpa, Mazzoleni, Stefania, Wang, Ena, Galli, Rossella, Maccalli, Cristina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
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.
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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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