Evidence map›Paper›PMID 37790408›Full record

ArticleResearch square2023

A prognostic matrix code 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 3 more

Open access · greenAbstract readPreprint
In one paragraph

Article in Research square, 2023. 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, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 3 institutions in 1 country.

Monika VishnoiDepartment of Neurosurgery, Houston Methodist Research Institute, Houston, TX, 77030 USA.ORCID 0000-0002-3934-7285
Zeynep DereliDepartment of Bioinformatics and Computational Biology, MD Anderson Cancer Center, Houston, TX 77030, USA.
Zheng YinDepartment of Systems Medicine and Bioengineering, Houston Methodist Neal Cancer Center, Houston, TX, 77030 USA.
Elisabeth K KongDepartment of Bioinformatics and Computational Biology, MD Anderson Cancer Center, Houston, TX 77030, USA.
Meric KinaliComputer Science, College of Science and Mathematics, University of Massachusetts Boston, Boston, MA, 02125.
Kisan ThapaComputer Science, College of Science and Mathematics, University of Massachusetts Boston, Boston, MA, 02125.
Ozgun BaburComputer Science, College of Science and Mathematics, University of Massachusetts Boston, Boston, MA, 02125.
Kyuson YunDepartment of Neurology, Houston Methodist Research Institute, Houston, TX, 77030 USA.
Nourhan AbdelfattahDepartment of Neurology, Houston Methodist Research Institute, Houston, TX, 77030 USA.
Xubin LiDepartment of Bioinformatics and Computational Biology, MD Anderson Cancer Center, Houston, TX 77030, USA.
Behnaz BozorguiDepartment of Bioinformatics and Computational Biology, MD Anderson Cancer Center, Houston, TX 77030, USA.
Robert C RostomilyDepartment of Neurosurgery, Houston Methodist Research Institute, Houston, TX, 77030 USA.ORCID 0000-0003-1431-162X
Anil KorkutDepartment of Bioinformatics and Computational Biology, MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0001-8072-9026
Houston Methodist · USThe University of Texas MD Anderson Cancer Center · USUniversity of Massachusetts Boston · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DIANE BODURKA · 1985 to 2026
$290.8M
TRAINING PROGRAM IN COMPUTATIONAL BIOLOGY AND MEDICINET15LM007093 · NLM · RICE UNIVERSITY · PI Lydia E. Kavraki · 1992 to 2026
$20.8M
Microfluidic Device to Profile Chemosensitivity in Glioma Slice CulturesR01CA181445 · NCI · UNIVERSITY OF WASHINGTON · PI FOLCH, ALBERT · 2014 to 2025
$5.3M
Integrative bioinformatics and functional characterization of oncogenic driver aberrations in cancerU01CA217842 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DENEEN, BENJAMIN, MILLS, GORDON B. · 2017 to 2021
$3.6M
NCI NIH HHS P30 CA016672NCI NIH HHS R01 CA181445NCI NIH HHS U01 CA217842NLM NIH HHS T15 LM007093
6 · The paper itself

Abstract

Interactions among tumor, immune and vascular niches play major roles in driving glioblastoma (GBM) malignancy and treatment responses. The composition, heterogeneity, and localization of extracellular core matrix proteins (CMPs) that mediate such interactions, however, are not well understood. Here, we characterize functional and clinical relevance of genes encoding CMPs in GBM at bulk, single cell, and spatial anatomical resolution. We identify a "matrix code" for genes encoding CMPs whose expression levels categorize GBM tumors into matrisome-high and matrisome-low groups that correlate with worse and better patient survival, respectively. The matrisome enrichment is associated with specific driver oncogenic alterations, mesenchymal state, infiltration of pro-tumor immune cells and immune checkpoint gene expression. Anatomical and single cell transcriptome analyses indicate that matrisome gene expression is enriched in vascular and leading edge/infiltrative anatomic structures that are known to harbor glioma stem cells driving GBM progression. Finally, we identified a 17-gene matrisome signature that retains and further refines the prognostic value of genes encoding CMPs and, importantly, potentially predicts responses to PD1 blockade in clinical trials for GBM. The matrisome gene expression profiles provide potential biomarkers of functionally relevant GBM niches that contribute to mesenchymal-immune cross talk and patient stratification which could be applied to optimize treatment responses.

Identifiers

PMID37790408
PMCPMC10543369
OpenAlexW4386932557

What OpenQuestion holds

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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.