Evidence map›Paper›PMID 40869298›Full record

ReviewInternational journal of molecular sciences2025

The Roles of RNA-Binding Proteins in Vasculogenic Mimicry Regulation in Glioblastoma.

Pok Kong Tsoi, Xian Liu, Man Ding Wong, Liang-Ting Lin

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2025. 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
–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

1 citing paper in PubMed.

  1. The Myeloid BiomarkerInternational journal of molecular sciences · 2025
    Article
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

4 authors.

Pok Kong TsoiDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China.
Xian LiuDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China.ORCID 0000-0002-8216-2729
Man Ding WongDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China.ORCID 0009-0006-9256-7435
Liang-Ting LinDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China.ORCID 0000-0003-2715-9567

Funding

The Hong Kong Polytechnic University P0047921
6 · The paper itself

Abstract

Glioblastoma (GBM) is a highly aggressive brain tumour characterised by a poor prognosis and resistance to anti-angiogenic treatments. Vasculogenic mimicry (VM), in which tumour cells form vessel-like structures independent of endothelial cells, has emerged as a key mechanism hindering the efficacy of anti-angiogenic therapies. Recent research highlights the central role of RNA-binding proteins (RBPs) in regulating VM through diverse post-transcriptional mechanisms, including mRNA decay induction and translational repression. Several oncogenic RBPs, such as HuR and HNRNPs, promote VM and tumour aggressiveness, while others, including RBMS3, act as suppressors of VM. Despite the prominent oncogenic roles of multiple RBPs, RBP-targeting compounds aimed at suppressing VM in GBM have remained at an early stage due to a number of limitations. This review summarises the role of VM in the treatment resistance of GBM, RBP regulation of VM, and the current landscape and future direction of RBP-targeted therapies aimed at overcoming VM-mediated treatment resistance in GBM.

Indexed as

Brain NeoplasmsGlioblastomaNeovascularization, PathologicRNA-Binding ProteinsAnimalsGene Expression Regulation, NeoplasticHumansRNA-Binding ProteinsglioblastomaRNA-binding proteinsvasculogenic mimicry

Identifiers

PMID40869298
PMCPMC12387060

What OpenQuestion holds

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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.