Evidence map›Paper›PMID 29434344›Full record

ArticleScientific reports2018

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

Jiri Sana, Petr Busek, Pavel Fadrus, Andrej Besse, Lenka Radova, Marek Vecera, Stefan Reguli, Lucie Stollinova Sromova, Marek Hilser, Radim Lipina and 5 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 50 citations in OpenAlex.

  1. FAPExperimental & molecular medicine · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 4 institutions in 1 country.

Jiri SanaCentral European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic.
Petr BusekInstitute of Biochemistry and Experimental Oncology, First Faculty of Medicine, Charles University, Prague, Czech Republic.ORCID 0000-0003-2158-4837
Pavel FadrusDepartment of Neurosurgery, University Hospital Brno, Faculty of Medicine, Masaryk University, Brno, Czech Republic.
Andrej BesseCentral European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic.
Lenka RadovaCentral European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic.
Marek VeceraCentral European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic.
Stefan ReguliDepartment of Neurosurgery, University Hospital Ostrava, Ostrava, Czech Republic.
Lucie Stollinova SromovaInstitute of Biochemistry and Experimental Oncology, First Faculty of Medicine, Charles University, Prague, Czech Republic.
Marek HilserInstitute of Biochemistry and Experimental Oncology, First Faculty of Medicine, Charles University, Prague, Czech Republic.
Radim LipinaDepartment of Neurosurgery, University Hospital Brno, Faculty of Medicine, Masaryk University, Brno, Czech Republic.
Radek LakomyDepartment of Comprehensive Cancer Care, Masaryk Memorial Cancer Institute, Faculty of Medicine, Masaryk University, Brno, Czech Republic.
Leos KrenDepartment of Pathology, University Hospital Brno, Faculty of Medicine, Masaryk University, Brno, Czech Republic.
Martin SmrckaDepartment of Neurosurgery, University Hospital Brno, Faculty of Medicine, Masaryk University, Brno, Czech Republic.
Aleksi SedoInstitute of Biochemistry and Experimental Oncology, First Faculty of Medicine, Charles University, Prague, Czech Republic. aleksi@cesnet.cz.ORCID 0000-0002-3247-5436
Ondrej SlabyCentral European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic. on.slaby@gmail.com.
Central European Institute of Technology · CZMasaryk University · CZCharles University · CZUniversity Hospital Ostrava · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

AgedAnimalsBrain NeoplasmsCell Line, TumorFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGlioblastomaHumansIsocitrate DehydrogenaseMaleMiceMicroRNAsMiddle AgedMutationNeoplasm TransplantationIDH1 protein, humanIsocitrate DehydrogenaseMicroRNAsNES protein, humanNestinSOX2 protein, humanSOXB1 Transcription Factors

Identifiers

PMID29434344
PMCPMC5809429
OpenAlexW2804191563

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.