ArticleFrontiers in immunology2022
Transcriptome and single-cell analysis reveal the contribution of immunosuppressive microenvironment for promoting glioblastoma progression.
Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- IDH mutation, glioma immunogenicity, and therapeutic challenge of primary mismatch repair deficient IDH-mutant astrocytoma PMMRDIA: a systematic review.Molecular oncology · 2024Pooled it
- Elemental analysis in menstrual effluent of women with PCOS: association with oxidative stress mechanisms: a case-control study.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2026Article
- Phase I Evaluation of Patients with Newly Diagnosed Glioblastoma Treated with Radiation, Nivolumab, and IDO1 Enzyme Inhibitor BMS-986205.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026Article
- Molecular mechanisms and therapeutic targets in glioblastoma multiforme: network and single-cell analyses.Scientific reports · 2025Article
- The neglected burden of chronic hypoxia on the resistance of glioblastoma multiforme to first-line therapies.BMC biology · 2024Review
- Advances in research on immune escape mechanism of glioma.CNS neuroscience & therapeutics · 2023Review
- The role of angiogenic growth factors in the immune microenvironment of glioma.Frontiers in oncology · 2023Review
Corrections and comments
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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
Background and objectives: GBM patients frequently exhibit severe local and systemic immunosuppression, limiting the possible efficacy of immunotherapy strategies. The mechanism through which immunosuppression is established in GBM tumors is the key to successful personalized immunotherapies. Methods: We divided GBM patients into subtypes according to the expression characteristics of the TME typing-related signature matrix. WGCNA analysis was used to get co-expressed gene modules. The expression activity of hub genes retrieved from co-expressed modules was validated in two single-cell datasets. Then, cell-cell interaction was calculated. Results: Four subtypes were identified in the TCGA and CGGA RNA-seq datasets simultaneously, one of which was an immunosuppressive subtype rich in immunosuppressive factors with low lymphocyte infiltration and an IDH1 mutation. Three co-expressed gene modules related to the immunosuppressive subtype were identified. These three modules are associated with the inflammatory response, angiogenesis, hypoxia, and carbon metabolism, respectively. The genes of the inflammatory response were mainly related to myeloid cells, especially TAM, angiogenesis was related to blood vessels; hypoxia and glucose metabolism were related to tumors, TAM, and blood vessels. Moreover, there was enhanced interaction between tumor cells and TAM. Discussion: This research successfully found the immunosuppressive subtype and the major cell types, signal pathways, and molecules involved in the formation of the immunosuppressive subtype and will provide new clues for the improvement of GBM personalized immunotherapy in the future.
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