ArticleActa neuropathologica communications2026
MET-associated immune prognostic signature predicts survival and guides personalized therapy in glioma.
Article in Acta neuropathologica communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
Abstract
Glioma is an aggressive malignancy characterized by an immunosuppressive tumor microenvironment (TME) that drives therapeutic resistance. MET alterations promote tumor progression and immune evasion, yet their clinical implications in glioma immunotherapy remain unclear. Here, we integrated multi-omics data from four independent cohorts to establish a MET-associated immune prognostic signature (MIPS) comprising 18 immune-related genes. MIPS effectively stratified glioma patients into low- and high-MIPS subgroups. High-MIPS patients exhibited significantly poorer overall survival than low-MIPS patients across all cohorts and was an independent prognostic factor independent of clinicopathological and molecular features. High-MIPS scores correlated with increased M2 macrophage infiltration, elevated B7-H3 expression, and higher TIDE scores, indicating immunotherapy resistance. Bioinformatic prediction and patient-derived organoid assays verified that low-MIPS tumors were sensitive to multiple targeted drugs (e.g., Axitinib, AZD-8055, Gefitinib, and Lenalidomide), while high-MIPS tumors were relatively resistant. MIPS derived from MET alteration serves as a robust biomarker for prognosis and predictive tool for immunotherapy and chemotherapy, facilitating patient stratification and precision therapy.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.