ArticleFrontiers in oncology2021
Glioma-Associated Stromal Cells Stimulate Glioma Malignancy by Regulating the Tumor Immune Microenvironment.
Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 26 citations in OpenAlex.
- The Invasive Margin of Glioblastoma as a Molecular Ecosystem: Spatial Heterogeneity, Tumor-Host Interactions, and Therapeutic Opportunities.International journal of molecular sciences · 2026Review
- Metabolic Reprogramming and Neurotransmitter Signaling Co-Option in the Glioma Immune Microenvironment: Dual-Axis Regulation of Immunosuppression.Biomolecules · 2026Review
- Review
- Identifying clinically relevant cell state interactions in the tumor microenvironment of IDH-mutant gliomas using CSI-TME.Molecular systems biology · 2026Article
- Traditional Chinese Medicine-Derived Active Ingredient and Formulation Therapy for Glioma: Multi-Target Mechanisms, Drug Delivery Systems, and Advances in Clinical Translational Research.Pharmaceuticals (Basel, Switzerland) · 2026Review
- Machine learning driven multiomics analysis identifies disulfidptosis associated molecular subtypes in ovarian cancer.Scientific reports · 2025Article
- Spatial transcriptomics and multi-omics reveal relapse and resistance mechanisms of EndMT-derived CAFs mediated by TNC and FLNC in glioblastoma.Journal of translational medicine · 2025Article
- TMBIM6 promotes glioma progression according to integrated bioinformatics and experimental evidence.Scientific reports · 2025Article
- Fusion of glioma-associated mesenchymal stem/stromal cells with glioma cells promotes macrophage recruitment and M2 polarization via mCell death & disease · 2025Article
- Targeting stromal cells in tumor microenvironment as a novel treatment strategy for glioma.Cancer cell international · 2025Review
- Deep learning and multi-omics reveal programmed cell death-associated diagnostic signatures and prognostic biomarkers in gastric cancer.Frontiers in immunology · 2025Article
- Article
- Review
- Radiomics for characterization of the glioma immune microenvironment.NPJ precision oncology · 2023Review
- Agent-based computational modeling of glioblastoma predicts that stromal density is central to oncolytic virus efficacy.iScience · 2022Article
- Glioma-Associated Microglia Characterization in the Glioblastoma Microenvironment through a 'Seed-and Soil' Approach: A Systematic Review.Brain sciences · 2022Review
- Differential expression of PD‑L1 and PD‑L2 is associated with the tumor microenvironment of TILs and M2 TAMs and tumor differentiation in non‑small cell lung cancer.Oncology reports · 2022Article
- Immunolocalization of CD80 and CD86 in Non-Small Cell Lung Carcinoma: CD80 as a Potent Prognostic Factor.Acta histochemica et cytochemica · 2022Article
- Worldwide productivity and research trend of publications concerning glioma-associated macrophage/microglia: A bibliometric study.Frontiers in neurology · 2022Article
- Prognostic model and immunotherapy prediction based on molecular chaperone-related lncRNAs in lung adenocarcinoma.Frontiers in genetics · 2022Article
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe glioma-associated stromal cell (GASC) is a recently identified type of cell in the glioma microenvironment and may be a prognostic marker for glioma. However, the potential mechanisms of GASCs in the glioma microenvironment remain largely unknown. In this work, we aimed to explore the mechanisms of GASCs in gliomas, particularly in high-grade gliomas (HGG).
methodsWe used glioma datasets from The Cancer Genome Atlas (TCGA) and the Chinese Glioma Genome Atlas (CGGA). We utilized the Single-sample Gene Set Enrichment Analysis (ssGSEA) algorithm to discriminate between patients with high or low GASC composition. The xCELL and CIBERSORT algorithms were used to analyze the composition of stromal cells and immune cells. Risk score and a nomogram model were constructed for prognostic prediction of glioma.
resultsWe observed for the first time that the levels of M2 macrophages and immune checkpoints (PD-1, PD-L1, PD-L2, TIM3, Galectin-9, CTLA-4, CD80, CD86, CD155, and CIITA) were significantly higher in the high GASC group and showed positive correlation with the GASC score in all glioma population and the HGG population. Copy number variations of DR3 and CIITA were higher in the high-GASC group. THY1, one of the GASC markers, exhibited lower methylation in the high GASC group. The constructed risk score was an independent predictor of glioma prognostics. Finally, a credible nomogram based on the risk score was established.
conclusionsGASCs stimulate glioma malignancy through the M2 macrophage, and are associated with the level of immune checkpoints in the glioma microenvironment. The methylation of THY1 could be used as prognostic indicator and treatment target for glioma. However, further studies are required to verify these findings.
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