Evidence map›Paper›PMID 42279304›Full record

ArticleCancers2026

Extracellular Matrix-Related Gene Signature Implied Immunosuppressive Status and Adverse Survival in Diffuse Glioma Patients.

Zhuoqun Li, Ping Yang, Zuojun Ning, Ji Shi, Tao Jiang, Jing Chen, Kenan Zhang

Abstract read
In one paragraph

Article in Cancers, 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

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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

7 authors.

Zhuoqun LiDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
Ping YangDepartment of Neurosurgery, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China.
Zuojun NingDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
Ji ShiDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
Tao JiangDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.ORCID 0000-0002-7008-6351
Jing ChenDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
Kenan ZhangDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.ORCID 0000-0001-7270-569X

Funding

Chongqing Municipal Science and Health Joint Medical Research Project Key Project No. 2023CCXM001National Natural Science Foundation of China No.82103623
6 · The paper itself

Abstract

backgroundDiffuse glioma is the most common and lethal primary malignant brain tumor, with a complicated tumor microenvironment reported. However, the role of the extracellular matrix (ECM) in diffuse gliomas remains unclear.

methodsTo investigate the impact of ECM on glioma malignancy, we constructed an ECM-related signature with six selected prognosis-related genes (VTN, VCAN, TNC, LOXL1, EFEMP1, and AGRN) using the LASSO method.

resultsThis score was found to significantly differentiate between groups classified by clinical characteristics. Despite elevated immune infiltration and antigen release, the high-ECM-score group exhibited attenuated immune activation with profound exhaustion. Moreover, the ECM score demonstrated accurate prognostic predictive power across three independent validation datasets.

conclusionsElevated ECM scores characterize an exhausted immune phenotype and are associated with a poorer prognosis in patients with diffuse glioma. This study enhances our understanding of the role of ECM in the malignant progression of gliomas.

Indexed as

diffuse gliomaextracellular matrixprognostic signaturetumor microenvironment

Identifiers

PMID42279304
PMCPMC13255635

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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.