Evidence map›Paper›PMID 41490939›Full record

ArticleCommunications biology2026

A prognostic matrix gene expression signature defines functional glioblastoma phenotypes and niches.

Monika Vishnoi, Zeynep Dereli, Zheng Yin, Elisabeth K Kong, Meric Kinali, Kisan Thapa, Ozgun Babur, Kyuson Yun, Nourhan Abdelfattah, Xubin Li and 4 more

Abstract read
In one paragraph

Article in Communications biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Monika VishnoiDepartment of Neurosurgery, Houston Methodist Research Institute, Houston, TX, USA.ORCID http://orcid.org/0000-0002-3934-7285
Zeynep DereliDepartment of Bioinformatics and Computational Biology, MD Anderson Cancer Center, Houston, TX, USA.
Zheng YinDepartment of Systems Medicine and Bioengineering, Houston Methodist Neal Cancer Center, Houston, TX, USA.
Elisabeth K KongDepartment of Bioinformatics and Computational Biology, MD Anderson Cancer Center, Houston, TX, USA.
Meric KinaliComputer Science, College of Science and Mathematics, University of Massachusetts Boston, Boston, MA, USA.
Kisan ThapaComputer Science, College of Science and Mathematics, University of Massachusetts Boston, Boston, MA, USA.
Ozgun BaburComputer Science, College of Science and Mathematics, University of Massachusetts Boston, Boston, MA, USA.
Kyuson YunDepartment of Neurology, Houston Methodist Research Institute, Houston, TX, USA.ORCID http://orcid.org/0000-0003-2253-4153
Nourhan AbdelfattahDepartment of Neurology, Houston Methodist Research Institute, Houston, TX, USA.ORCID http://orcid.org/0000-0002-0556-0977
Xubin LiDepartment of Bioinformatics and Computational Biology, MD Anderson Cancer Center, Houston, TX, USA.
Behnaz BozorguiDepartment of Bioinformatics and Computational Biology, MD Anderson Cancer Center, Houston, TX, USA.ORCID http://orcid.org/0000-0003-0557-1681
Mary C Farach-CarsonDepartment of Diagnostic and Biomedical Sciences, School of Dentistry, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Robert C RostomilyDepartment of Neurosurgery, Houston Methodist Research Institute, Houston, TX, USA. rrostomily@houstonmethodist.org.ORCID http://orcid.org/0000-0003-1431-162X
Anil KorkutDepartment of Bioinformatics and Computational Biology, MD Anderson Cancer Center, Houston, TX, USA. akorkut@mdanderson.org.ORCID http://orcid.org/0000-0001-8072-9026

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DIANE BODURKA · 1985 to 2026
$290.8M
Microfluidic Device to Profile Chemosensitivity in Glioma Slice CulturesR01CA181445 · NCI · UNIVERSITY OF WASHINGTON · PI FOLCH, ALBERT · 2014 to 2025
$5.3M
Mechanistic maps of adaptive responses to therapeutic stress to optimize combination therapies.U01CA253472 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI KORKUT, ANIL, LIANG, HAN · 2021 to 2025
$2.6M
S100A4 mediated immune suppression in GBMR01NS121405 · NINDS · METHODIST HOSPITAL RESEARCH INSTITUTE · PI YUN, KYUSON · 2021 to 2025
$2.2M
NCI NIH HHS P30 CA016672NCI NIH HHS R01 CA181445NCI NIH HHS U01 CA253472NINDS NIH HHS R01 NS121405U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01-CA181445U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) U01CA253472
6 · The paper itself

Abstract

Interactions among tumor, immune, and vascular niches play major roles in glioblastoma (GBM) malignancy and treatment responses. The composition and heterogeneity of extracellular core matrix proteins (CMPs) that mediate such interactions are not well understood. Here, we present an analysis of the clinical relevance of CMP expression in GBM at bulk, single-cell, and spatial anatomical resolution. We show that CMP enrichment is associated with worse patient survival, specific driver oncogenic alterations, mesenchymal state, pro-tumor immune infiltration, and immune checkpoint expression. Matrisome expression is enriched in vascular and leading edge/infiltrative niches that are known to harbor glioma stem cells. Finally, we identify a 17-gene CMP signature, termed Matrisome 17 (M17), which is a stronger prognostic factor compared to MGMT promoter methylation status as well as canonical subtypes, and importantly, may predict responses to PD1 blockade. Patient stratification based on matrisome profiles can contribute to the selection and optimization of treatment strategies.

Indexed as

Brain NeoplasmsExtracellular Matrix ProteinsGene Expression Regulation, NeoplasticGlioblastomaTranscriptomeBiomarkers, TumorGene Expression ProfilingHumansPhenotypePrognosisTumor MicroenvironmentBiomarkers, TumorExtracellular Matrix Proteins

Identifiers

PMID41490939
PMCPMC12769572

What OpenQuestion holds

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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.