Identification of microRNAs differentially expressed in glioblastoma stem-like cells and their association with patient survival

Abstract Glioblastoma stem-like cells (GSCs) are critical for the aggressiveness and progression of glioblastoma (GBM) and contribute to its resistance to adjuvant treatment. MicroRNAs (miRNAs) are small, non-coding RNAs controlling gene expression at the post-transcriptional level, which are known...

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Autores principales: Jiri Sana, Petr Busek, Pavel Fadrus, Andrej Besse, Lenka Radova, Marek Vecera, Stefan Reguli, Lucie Stollinova Sromova, Marek Hilser, Radim Lipina, Radek Lakomy, Leos Kren, Martin Smrcka, Aleksi Sedo, Ondrej Slaby
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Publicado: Nature Portfolio 2018
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spelling oai:doaj.org-article:45af015b41e7425cbe979cb802a415552021-12-02T15:08:52ZIdentification of microRNAs differentially expressed in glioblastoma stem-like cells and their association with patient survival10.1038/s41598-018-20929-62045-2322https://doaj.org/article/45af015b41e7425cbe979cb802a415552018-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-20929-6https://doaj.org/toc/2045-2322Abstract Glioblastoma stem-like cells (GSCs) are critical for the aggressiveness and progression of glioblastoma (GBM) and contribute to its resistance to adjuvant treatment. MicroRNAs (miRNAs) are small, non-coding RNAs controlling gene expression at the post-transcriptional level, which are known to be important regulators of the stem-like features. Moreover, miRNAs have been previously proved to be promising diagnostic biomarkers in several cancers including GBM. Using global expression analysis of miRNAs in 10 paired in-vitro as well as in-vivo characterized primary GSC and non-stem glioblastoma cultures, we identified a miRNA signature associated with the stem-like phenotype in GBM. 51 most deregulated miRNAs classified the cell cultures into GSC and non-stem cell clusters and identified a subgroup of GSC cultures with more pronounced stem-cell characteristics. The importance of the identified miRNA signature was further supported by demonstrating that a Risk Score based on the expression of seven miRNAs overexpressed in GSC predicted overall survival in GBM patients in the TCGA dataset independently of the IDH1 status. In summary, we identified miRNAs differentially expressed in GSCs and described their association with GBM patient survival. We propose that these miRNAs participate on GSC features and could represent helpful prognostic markers and potential therapeutic targets in GBM.Jiri SanaPetr BusekPavel FadrusAndrej BesseLenka RadovaMarek VeceraStefan ReguliLucie Stollinova SromovaMarek HilserRadim LipinaRadek LakomyLeos KrenMartin SmrckaAleksi SedoOndrej SlabyNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-11 (2018)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Jiri Sana
Petr Busek
Pavel Fadrus
Andrej Besse
Lenka Radova
Marek Vecera
Stefan Reguli
Lucie Stollinova Sromova
Marek Hilser
Radim Lipina
Radek Lakomy
Leos Kren
Martin Smrcka
Aleksi Sedo
Ondrej Slaby
Identification of microRNAs differentially expressed in glioblastoma stem-like cells and their association with patient survival
description Abstract Glioblastoma stem-like cells (GSCs) are critical for the aggressiveness and progression of glioblastoma (GBM) and contribute to its resistance to adjuvant treatment. MicroRNAs (miRNAs) are small, non-coding RNAs controlling gene expression at the post-transcriptional level, which are known to be important regulators of the stem-like features. Moreover, miRNAs have been previously proved to be promising diagnostic biomarkers in several cancers including GBM. Using global expression analysis of miRNAs in 10 paired in-vitro as well as in-vivo characterized primary GSC and non-stem glioblastoma cultures, we identified a miRNA signature associated with the stem-like phenotype in GBM. 51 most deregulated miRNAs classified the cell cultures into GSC and non-stem cell clusters and identified a subgroup of GSC cultures with more pronounced stem-cell characteristics. The importance of the identified miRNA signature was further supported by demonstrating that a Risk Score based on the expression of seven miRNAs overexpressed in GSC predicted overall survival in GBM patients in the TCGA dataset independently of the IDH1 status. In summary, we identified miRNAs differentially expressed in GSCs and described their association with GBM patient survival. We propose that these miRNAs participate on GSC features and could represent helpful prognostic markers and potential therapeutic targets in GBM.
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author Jiri Sana
Petr Busek
Pavel Fadrus
Andrej Besse
Lenka Radova
Marek Vecera
Stefan Reguli
Lucie Stollinova Sromova
Marek Hilser
Radim Lipina
Radek Lakomy
Leos Kren
Martin Smrcka
Aleksi Sedo
Ondrej Slaby
author_facet Jiri Sana
Petr Busek
Pavel Fadrus
Andrej Besse
Lenka Radova
Marek Vecera
Stefan Reguli
Lucie Stollinova Sromova
Marek Hilser
Radim Lipina
Radek Lakomy
Leos Kren
Martin Smrcka
Aleksi Sedo
Ondrej Slaby
author_sort Jiri Sana
title Identification of microRNAs differentially expressed in glioblastoma stem-like cells and their association with patient survival
title_short Identification of microRNAs differentially expressed in glioblastoma stem-like cells and their association with patient survival
title_full Identification of microRNAs differentially expressed in glioblastoma stem-like cells and their association with patient survival
title_fullStr Identification of microRNAs differentially expressed in glioblastoma stem-like cells and their association with patient survival
title_full_unstemmed Identification of microRNAs differentially expressed in glioblastoma stem-like cells and their association with patient survival
title_sort identification of micrornas differentially expressed in glioblastoma stem-like cells and their association with patient survival
publisher Nature Portfolio
publishDate 2018
url https://doaj.org/article/45af015b41e7425cbe979cb802a41555
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