Evidence map›Paper›PMID 41838326›Full record

ReviewDiscover oncology2026

MicroRNAs as diagnostic prognostic and therapeutic biomarkers in glioblastoma.

Shehla Javaid, Samiah Shahid, Nouman Ali

Abstract readReview
In one paragraph

Review in Discover oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Shehla JavaidInstitute of Molecular Biology and Biotechnology, The University of Lahore, Lahore, Pakistan. shehla.javaid@rlku.edu.pk.
Samiah Shahid *Institute of Molecular Biology and Biotechnology, The University of Lahore, Lahore, Pakistan. samiah.shahid@imbb.uol.edu.pk.
Nouman Ali *Department of Molecular Biosciences, Faculty of physical and Biological Sciences, Rashid Latif Khan University, Lahore, Pakistan. nouman.ali.anwar336@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma is the most aggressive primary brain tumor and is associated with poor prognosis due to marked molecular heterogeneity and limited efficacy of current diagnostic and therapeutic strategies. MicroRNAs (miRNAs) have emerged as key post transcriptional regulators involved in glioblastoma progression, therapy resistance, and tumor recurrence. This review critically synthesizes recent evidence on dysregulated miRNAs in glioblastoma, with focused emphasis on their validated diagnostic and prognostic relevance. Particular attention is given to circulating miRNAs detected through minimally invasive liquid biopsy platforms, highlighting their potential to complement existing molecular markers. Rather than cataloguing isolated findings, this review prioritizes miRNAs with consistent evidence across studies and discusses their translational applicability in clinical decision making. Current limitations related to methodological variability, tumor heterogeneity, and lack of standardization are also addressed. Overall, this work provides an evidence weighted framework that clarifies the clinical promise and remaining challenges of miRNAs based biomarkers in glioblastoma.

Indexed as

ApoptosisBiomarkerBrain tumorDiagnosticGlioblastomamicroRNAs

Identifiers

PMID41838326
PMCPMC13103000

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.