ReviewFrontiers in cell and developmental biology2024
Advancing precision medicine in gliomas through single-cell sequencing: unveiling the complex tumor microenvironment.
Review in Frontiers in cell and developmental biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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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.
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Who cites it
11 citing papers in PubMed.
- Article
- Organ-Specific Migration License (OSML) theory: a novel paradigm for spatiotemporal regulation and intervention of cross-organ immune cell migration in tumor immune responses.Cell communication and signaling : CCS · 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
- Single-Cell and Bulk Transcriptomic Integration Reveals a Stemness-Related Astrocyte Subpopulation for Prognostic Risk Stratification in Glioblastoma.Current medicinal chemistry · 2026Article
- Single-cell transcriptomic profiling uncovers key molecular signatures in glioma pathogenesis.Frontiers in genetics · 2026Article
- Research progress of single cell RNA sequencing in nervous system.Molecular biology reports · 2025Review
- Exploring tumor-associated macrophages in glioblastoma: from diversity to therapy.NPJ precision oncology · 2025Review
- Single-cell and spatial transcriptomic insights into glioma cellular heterogeneity and metabolic adaptations.Frontiers in immunology · 2025Review
- Platinum(IV) anticancer therapies and cathepsin B: innovative strategies for overcoming resistance in glioblastoma cells.Frontiers in cell and developmental biology · 2025Article
- Unraveling Alzheimer's disease: insights from single-cell sequencing and spatial transcriptomic.Frontiers in neurology · 2024Review
- Exploring the role of metabolic pathways in TNBC immunotherapy: insights from single-cell and spatial transcriptomics.Frontiers in endocrinology · 2024Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Glioblastoma (GBM) displays an infiltrative growth characteristic that recruits neighboring normal cells to facilitate tumor growth, maintenance, and invasion into the brain. While the blood-brain barrier serves as a critical natural defense mechanism for the central nervous system, GBM disrupts this barrier, resulting in the infiltration of macrophages from the peripheral bone marrow and the activation of resident microglia. Recent advancements in single-cell transcriptomics and spatial transcriptomics have refined the categorization of cells within the tumor microenvironment for precise identification. The intricate interactions and influences on cell growth within the tumor microenvironment under multi-omics conditions are succinctly outlined. The factors and mechanisms involving microglia, macrophages, endothelial cells, and T cells that impact the growth of GBM are individually examined. The collaborative mechanisms of tumor cell-immune cell interactions within the tumor microenvironment synergistically promote the growth, infiltration, and metastasis of gliomas, while also influencing the immune status and therapeutic response of the tumor microenvironment. As immunotherapy continues to progress, targeting the cells within the inter-tumor microenvironment emerges as a promising novel therapeutic approach for GBM. By comprehensively understanding and intervening in the intricate cellular interactions within the tumor microenvironment, novel therapeutic modalities may be developed to enhance treatment outcomes for patients with GBM.
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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.