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

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Publikace nespadá pod Pedagogickou fakultu, ale pod Středoevropský technologický institut. Oficiální stránka publikace je na webu muni.cz.
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ŠÁNA Jiří BUŠEK Petr FADRUS Pavel BEŠŠE Andrej RADOVÁ Lenka VEČEŘA Marek REGULI Stefan SROMOVA STOLLINOVA Lucie HILSER Marek LIPINA Radim LAKOMÝ Radek KŘEN Leoš SMRČKA Martin ŠEDO Aleksi SLABÝ Ondřej

Rok publikování 2018
Druh Článek v odborném periodiku
Časopis / Zdroj Scientific reports
Fakulta / Pracoviště MU

Středoevropský technologický institut

Citace
Doi http://dx.doi.org/10.1038/s41598-018-20929-6
Klíčová slova Glioblastoma stem-like cells
Popis 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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