Evidence map›Paper›PMID 38609422›Full record

ArticleScientific reports2024

MiRNAs from the Dlk1-Dio3 locus and miR-224/452 cluster contribute to glioblastoma tumor heterogeneity.

Christopher M Smith, Daniel Catchpoole, Gyorgy Hutvagner

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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

3 authors at 3 institutions in 1 country.

Christopher M SmithSchool of Biomedical Engineering, Faculty of Engineering and IT, University of Technology Sydney, Sydney, Australia.
Daniel CatchpooleSchool of Computer Sciences, Faculty of Engineering and IT, University of Technology Sydney, Sydney, NSW, Australia.
Gyorgy HutvagnerSchool of Biomedical Engineering, Faculty of Engineering and IT, University of Technology Sydney, Sydney, Australia. gyorgy.hutvagner@uts.edu.au.
Cancer Institute of New South Wales · AUChildren's Hospital at Westmead · AUUniversity of Technology Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma is one of the most common and aggressive brain tumors and has seen few improvements in patient outcomes. Inter-tumor heterogeneity between tumors of different patients as well as intra-tumor heterogeneity of cells within the same tumor challenge the development of effective drugs. MiRNAs play an essential role throughout the developing brain and regulate many key genes involved in oncogenesis, yet their role in driving many of the processes underlying tumor heterogeneity remains unclear. In this study, we highlight miRNAs from the Dlk1-Dio3 and miR-224/452 clusters which may be expressed cell autonomously and have expression that is associated with cell state genes in glioblastoma, most prominently in neural progenitor-like and mesenchymal-like states respectively. These findings implicate these miRNA clusters as potential regulators of glioblastoma intra-tumoral heterogeneity and may serve as valuable biomarkers for cell state identification.

Indexed as

Brain NeoplasmsGlioblastomaMicroRNAsBrainCalcium-Binding ProteinsCarcinogenesisHumansIodide PeroxidaseMembrane ProteinsCalcium-Binding ProteinsDLK1 protein, humanIodide Peroxidaseiodothyronine deiodinase type IIIMembrane ProteinsMicroRNAsMIRN224 microRNA, humanMIRN452 microRNA, human

Identifiers

PMID38609422
PMCPMC11014907
OpenAlexW4394768944

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.