ReviewFrontiers in immunology2025
Single-cell and spatial transcriptomic insights into glioma cellular heterogeneity and metabolic adaptations.
Review in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
What it found
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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.
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Who cites it
28 citing papers in PubMed.
- Spatial Omics in High-Grade Gliomas: Mapping Immune-Tumor Niches for Precision Therapy.Cancer medicine · 2026Review
- Integrative Single-Cell and Spatial Transcriptomic Analyses Link Arachidonic Acid Metabolic Reprogramming to Proneural-to-Mesenchymal State Transition in Glioblastoma.Biomedicines · 2026Article
- IQGAP2 regulates phagocytic-like activity and PD-L1 expression in glioma through the JAK2/STAT3 axis.Molecular biology reports · 2026Article
- Immune checkpoint crosstalk between LAG-3 and CD39/CD73 in glioblastoma: dual-pathway regulation of metabolic exhaustion and therapeutic reversal strategies.Journal of the Egyptian National Cancer Institute · 2026Review
- Leveraging single-cell and spatial omics for brain tumour insights to improve therapeutic strategies.Molecular brain · 2026Review
- Integrative Multi-Omics Analysis Identifies anGenes · 2026Article
- Single-cell profiling identifies a pro-tumoral VCAN positive macrophage subset and defines a prognostic signature in glioblastoma.Discover oncology · 2026Article
- Glioblastoma: epidemiology, molecular pathogenesis, diagnosis, management, and therapeutic resistance.Molecular biomedicine · 2026Review
- Global scientific growth and thematic development of spatial transcriptomics in oncology research.Discover oncology · 2026Article
- Review
- Molecular Signatures and Network Alterations Underlying GBM Progression and Recurrence.Medicina (Kaunas, Lithuania) · 2026Article
- Cytotoxic lymphocyte heterogeneity in glioblastoma: insights from single-cell and spatial multiomics toward precision immunotherapeutic reprogramming.Frontiers in immunology · 2026Review
- Defining neurovascular ecosystem states with single-cell multi-omics and machine learning: insights into cerebrovascular remodeling in the tumor context.Frontiers in cell and developmental biology · 2026Article
- A spatiotemporal state-inference framework for adaptive immunotherapy in glioblastoma.Frontiers in oncology · 2026Review
- Exposure-aware multi-omics and artificial intelligence for biomarker discovery and precision prevention in diffuse glioma.Frontiers in immunology · 2026Review
- Multi-Omics Integration for Advancing Glioma Precision Medicine.Annals of clinical and translational neurology · 2026Review
- Reprogramming the immunosuppressive breast cancer microenvironment: integrating cellular, metabolic, and stromal targets for rational immunotherapy.Frontiers in immunology · 2026Review
- Recurrent Glioblastoma and the Tumor Immune Landscape: Emerging Immunotherapeutic Strategies.ImmunoTargets and therapy · 2026Review
- Hypoxic microenvironment in cancer: role in metabolic reprogramming.Frontiers in oncology · 2026Review
- Molecular mechanisms and clinical significance of the glioma metabolic-immune axis: a comprehensive review.Frontiers in immunology · 2026Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Glioblastoma, one of the most aggressive and heterogeneous malignant tumors, presents significant challenges for clinical management due to its cellular and metabolic complexity. This review integrates recent advancements in single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics to elucidate glioblastoma's cellular heterogeneity and metabolic reprogramming. Diverse cellular subpopulations, including malignant proliferative cells, stem-like cells, mesenchymal-like cells, and immune-related cells, contribute to tumor progression, treatment resistance, and microenvironmental interactions. Spatial transcriptomics has further revealed distinct spatial distributions of these subpopulations, highlighting differences in metabolic activities between the tumor core and periphery. Key metabolic adaptations, such as enhanced glycolysis, fatty acid oxidation, and glutamine metabolism, play critical roles in supporting tumor growth, immune evasion, and therapeutic resistance. Targeting these metabolic pathways, especially in combination with immunotherapy, represents a promising avenue for glioblastoma treatment. This review emphasizes the importance of integrating single-cell and spatial multi-omics technologies to decode glioblastoma's metabolic landscape and explore novel therapeutic strategies. By addressing current challenges, such as metabolic redundancy and spatiotemporal dynamics, this work provides insights into advancing precision medicine for glioblastoma.
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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.