ArticleScientific reports2025
Comprehensive multi-omics and machine learning framework for glioma subtyping and precision therapeutics.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- DUSP6/MKP3 as an emerging therapeutic target in glioblastoma.Pharmacological reports : PR · 2026Review
- A senescence-based machine learning model prognosticates and personalizes therapy in cervical cancer.Translational cancer research · 2026Article
- Leveraging single-cell and spatial omics for brain tumour insights to improve therapeutic strategies.Molecular brain · 2026Review
- Evolving Landscape of Glioblastoma Research: Integrating Therapeutic Advances and Diagnostic Frontiers.Brain sciences · 2026Review
- Primary glioma cell culture: from monolayer to organoids.Protoplasma · 2026Review
- The functional imperative in high-grade glioma.Experimental & molecular medicine · 2026Review
- Nested ecosystems theory for conceptualizing brain tumors.Disease models & mechanisms · 2026Review
- Multi-Omics Integration for Advancing Glioma Precision Medicine.Annals of clinical and translational neurology · 2026Review
- Exposure-aware multi-omics and artificial intelligence for biomarker discovery and precision prevention in diffuse glioma.Frontiers in immunology · 2026Review
- Molecular mechanisms and clinical significance of the glioma metabolic-immune axis: a comprehensive review.Frontiers in immunology · 2026Review
- Article
- Development and external validation of a machine learning-based prognostic model for small cell neuroendocrine cervical carcinoma: a multi-center study.BMC cancer · 2025Article
- Artificial Intelligence-Driven Multi-Omics Approaches in Glioblastoma.International journal of molecular sciences · 2025Review
- Artificial intelligence prediction of nonenhancing brain tumor malignancy based onFrontiers in surgery · 2025Article
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6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Glioma is a highly heterogeneous and aggressive brain tumour that demands an integrated understanding of its molecular and immunological landscape. We collected multi-omics data from 575 TCGA diffuse-glioma patients (156 IDH-wild-type WHO-grade 4 glioblastomas and 419 IDH-mutant WHO-grade 2/3 diffuse gliomas) together with two validation cohorts (CGGA n = 970; GEO n = 110). Using the MOVICS framework, we derived three integrative molecular subtypes-CS1, CS2 and CS3. Ten machine-learning algorithms in MIME were benchmarked, and the Lasso + SuperPC combination yielded an eight-gene GloMICS (Glioma Multi-Omics Consensus Signature) prognostic score. The subtypes display discrete biology: CS1 (astrocyte-like) is characterized by glial lineage features, immune-regulatory signaling, and relatively favorable prognosis; CS2 (basal-like/mesenchymal) shows epithelial-mesenchymal transition, stromal activation, and high immune infiltration, including PD-L1 expression; CS3 (proneural-like/IDH-mut metabolic) exhibits metabolic reprogramming (OXPHOS, hypoxia) and an immunologically cold tumour microenvironment (TME). CS2 is associated with the worst overall survival, whereas CS1 confers the most favourable outcome. Dual checkpoint blockade or T-cell-rejuvenation strategies may benefit CS2 tumours, while metabolic inhibitors could prove effective in CS3. The eight-gene GloMICS score outperformed 95 published prognostic models (C-index 0.74-0.66 across TCGA, CGGA and GEO). TME deconvolution, immune checkpoint profiling and TIDE analysis indicate that high-risk GloMICS tumours harbour immunosuppressive fibroblast-rich niches and exhausted CD8⁺ T cells. Connectivity-map screening nominated dabrafenib, irinotecan and three additional CTRP/PRISM compounds as candidate agents for the high-risk group. Our study establishes robust glioma subtypes and a transferable prognostic signature, offering a blueprint for biomarker-guided therapy. Future work should include single-cell and immunohistochemical validation of subtype hallmarks and prospective trials stratified by GloMICS score.
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