Evidence map›Paper›PMID 39375741›Full record

ReviewCell communication and signaling : CCS2024

Role of scaffold proteins in the heterogeneity of glioblastoma.

Varun J Iyer, John E Donahue, Mahasin A Osman

Abstract readReview
In one paragraph

Review in Cell communication and signaling : CCS, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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.

Varun J IyerDepartment of Medicine, Division of Hematology and Oncology, College of Medicine and Life Sciences, Health Sciences Campus, The University of Toledo, 352A Health Science Building, 3000 Transverse Drive, Toledo, OH, 43614, USA.
John E DonahueDivision of Neuropathology, Department of Pathology, Rhode Island Hospital and the Warren Alpert Medical School of Brown University, Providence, RI, 02903, USA.
Mahasin A OsmanDepartment of Medicine, Division of Hematology and Oncology, College of Medicine and Life Sciences, Health Sciences Campus, The University of Toledo, 352A Health Science Building, 3000 Transverse Drive, Toledo, OH, 43614, USA. mo28@cornell.edu.

Funding

Training in Molecular and translational Cell DynamicsT32GM144873 · NIGMS · UNIVERSITY OF TOLEDO HEALTH SCI CAMPUS · PI AVIDOR-REISS, TOMER, DWORKIN, LANCE DOUGLAS · 2022 to 2024
$1.3M
6 · The paper itself

Abstract

Glioblastoma (GB) is a highly heterogeneous type of incurable brain cancer with a low survival rate. Intensive ongoing research has identified several potential targets; however, GB is marred by the activation of multiple pathways, and thus common targets are highly sought. The signal regulatory scaffold IQGAP1 is an oncoprotein implicated in GB. IQGAP1 nucleates a myriad of pathways in a contextual manner and modulates many of the targets altered in GB like MAPK, NF-κB, and mTOR/PI3K/Akt1, thus positioning it as a plausible common therapeutic target. Here, we review the targets that are subjects of GB treatment clinical trials and the commonly used animal models that facilitate target identification. We propose a model in which the dysfunction of various IQGAP1 pathways can explain to a larger extent some of the GB heterogeneity and offer a platform for personalized medicine.

Indexed as

GlioblastomaAnimalsBrain NeoplasmsHumansras GTPase-Activating ProteinsSignal TransductionIQ motif containing GTPase activating protein 1ras GTPase-Activating ProteinsGlioblastomaIQGAP1Precision medicineScaffold proteins

Identifiers

PMID39375741
PMCPMC11457365

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.