Evidence map›Paper›PMID 41910014›Full record

ArticleThe journal of pathology. Clinical research2026

MET fusions and splicing variants in glioma: a landscape integrating clinical, pathological, and survival features.

Zheng Fang, Chengjun Zheng, Peng Wang, Xing Liu, Lingyu Liu, Guanzhang Li, Jiahan Dong, Qiaodong Chen, Delong Zhang, Yutong Feng and 2 more

Abstract readMulticenter Study
In one paragraph

Article in The journal of pathology. Clinical research, 2026. 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. 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

12 authors.

Zheng Fang *Department of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, PR China.ORCID https://orcid.org/0009-0008-6570-753X
Chengjun Zheng *Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, PR China.
Peng Wang *Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, PR China.
Xing LiuDepartment of Neuropathology, Beijing Tiantan Hospital, Capital Medical University, Beijing, PR China.
Lingyu LiuDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, PR China.
Guanzhang LiDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, PR China.
Jiahan DongDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, PR China.
Qiaodong ChenDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, PR China.
Delong ZhangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, PR China.
Yutong FengDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, PR China.
Ying ZhangDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, PR China.
Zhaoshi BaoDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, PR China.ORCID https://orcid.org/0000-0003-4922-4470

Funding

Beijing Research Ward Excellence Program BRWEP2024W032040200Natural Science Foundation of China 82573705Youth Beijing Scholar 066
6 · The paper itself

Abstract

MET alterations, including MET fusions and splicing variants (F/SVs), are linked to glioma progression, but the clinical features remain underexplored since the 2021 WHO classification of tumors of the CNS. We aimed to systematically depict the MET F/SVs and patient characteristics in a multicenter cohort focusing on clinical, pathological, and survival features. We studied data from 1,041 patients with MET F/SVs data from the public Chinese Glioma Genome Atlas database and the TruSight Tumor 170 study. Clinical outcomes were evaluated based on the RANO criteria. We used chi-square and Fisher's exact tests for variable analysis. Kaplan-Meier analysis was used to assess survival trends, while univariate and multivariate analyses revealed the prognostic value of MET F/SVs. Immunohistochemical staining was performed to demonstrate the MET expression level. Among the 1,041 patients, 49 patients had F/SVs (4.70%), and 23 had ZM fusion (PTPRZ1-MET fusion gene; 2.21%). Among the 67 recurrent grade 4 astrocytomas, the proportions of F/SVs (11.94%, n = 8) and ZMs (5.97%, n = 4) were the highest. MET F/SVs were significantly associated with malignant clinical outcomes in the IDH-mutant astrocytoma cohort, with a frequency of 5.04% (18/357) across all WHO grades. Multivariate analysis revealed that the MET F/SVs were independently associated with worse survival in astrocytoma patients [overall survival (OS): p = 0.0011; progression-free survival (PFS): p = 0.004]. ZM fusion was associated with a worse prognosis in both astrocytoma (OS p < 0.001, PFS p < 0.001) and glioblastoma (OS, p = 0.252; PFS, p = 0.010) patients. We highlight the utmost relevance of ZM fusion as an adverse prognostic factor in astrocytoma (11/382, 2.88%) and glioblastoma grade 4 (11/401, 2.74%) patients and suggest that the grading of these tumors should be refined.

Indexed as

Biomarkers, TumorBrain NeoplasmsGliomaProto-Oncogene Proteins c-metAdultAgedFemaleHumansMaleMiddle AgedPrognosisYoung AdultBiomarkers, TumorMET protein, humanProto-Oncogene Proteins c-metgliomaintegrated analysismesenchymal–epidermalMET F/SVstransition factor

Identifiers

PMID41910014
PMCPMC13581103

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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.