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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00209805%3A_____%2F18%3A00078057" target="_blank" >RIV/00209805:_____/18:00078057 - isvavai.cz</a>

Alternative codes found

RIV/00216224:14740/18:00105841 RIV/00216208:11110/18:10375830 RIV/65269705:_____/18:00069234 RIV/00843989:_____/18:E0106938

Result on the web

<a href="http://www.nature.com/articles/s41598-018-20929-6" target="_blank" >http://www.nature.com/articles/s41598-018-20929-6</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1038/s41598-018-20929-6" target="_blank" >10.1038/s41598-018-20929-6</a>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

30204 - Oncology

Project

—

Continuities

—

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Scientific reports

ISSN

2045-2322

e-ISSN

—

Volume of the periodical

8

Issue of the periodical within the volume

1

Country of publishing house

GB - UNITED KINGDOM

Number of pages

11

Pages from-to

2836

UT code for WoS article

000424743500052

EID of the result in the Scopus database

2-s2.0-85041960516