ArticleJournal of translational medicine2024
Unveiling novel cell clusters and biomarkers in glioblastoma and its peritumoral microenvironment at the single-cell perspective.
Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Immunotherapy impact of macrophage glycosylation on cholangiocarcinoma and its prognostic and immune microenvironment significance.Human vaccines & immunotherapeutics · 2026Article
- Heterogeneity in cancer: molecular mechanisms and therapeutic strategies.Signal transduction and targeted therapy · 2026Review
- Secreted Peptidome Profiling of Human Dental Pulp Stem Cells-Conditioned Medium During Odontogenic Differentiation.International dental journal · 2026Article
- Single-cell transcriptomics identifies key immune-suppressive cells and their driver genes in the bladder cancer microenvironment with prognostic implications.Molecular genetics and genomics : MGG · 2026Article
- Leveraging single-cell and spatial omics for brain tumour insights to improve therapeutic strategies.Molecular brain · 2026Review
- A multi-center cross-platform single-cell multimodal atlas of the mouse cerebral cortex.Scientific data · 2026Article
- XBP1-driven proliferative B cell subcluster in Diffuse Large B Cell Lymphoma linked to altered nucleotide metabolism.European journal of medical research · 2026Article
- MRI-based habitat radiomics for predicting WHO/ISUP nuclear grade in clear cell renal cell carcinoma.Frontiers in oncology · 2026Article
- Identification and validation of parthanatos-related genes in lung adenocarcinoma and construction of a prognostic risk model.Frontiers in immunology · 2026Article
- Identifying Key Pathogenic Mechanisms in Recurrent Glioblastoma Through Bioinformatics Analysis.Current medicinal chemistry · 2026Article
- Revealing the Diagnostic Potential of Three RHO GTPase-Related Genes in Osteoarthritis Based on Single-Cell RNA Sequencing and GEO Dataset Analysis.International journal of genomics · 2026Article
- Identification and validation of tricarboxylic acid cycle-related diagnostic biomarkers for diabetic nephropathy via weighted gene co-expression network analysis and single-cell transcriptome analysis.Acta diabetologica · 2025Article
- Rat Glioma 101.8 Tissue Strain: Molecular and Morphological Features.International journal of molecular sciences · 2025Article
- Multi-Omics Integration: Predicting Progression and Optimizing Clinical Treatment of Hepatocellular Carcinoma Through Malignant-Cell-Related Genes.International journal of molecular sciences · 2025Article
- TNFAIP8L3 regulation of the TGF-β signaling pathway affects the proportion of macrophages during tumor antigen presentation and affects the prognosis of ovarian cancer.Frontiers in molecular biosciences · 2025Article
- Decoding the Tumor Microenvironment of Myoepithelial Cells in Triple-Negative Breast Cancer Through Single-Cell and Transcriptomic Sequencing and Establishing a Prognostic Model Based on Key Myoepithelial Cell Genes.International journal of genomics · 2025Article
- Vagus nerve stimulation: Novel concept for the treatment of glioblastoma and solid cancers by cytokine (interleukin-6) reduction, attenuating the SASP, enhancing tumor immunity.Brain, behavior, & immunity - health · 2024Review
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8 authors.
Funding
Abstract
backgroundGlioblastoma (GBM) is a highly heterogeneous, recurrent and aggressively invasive primary malignant brain tumor. The heterogeneity of GBM results in poor targeted therapy. Therefore, the aim of this study is to depict the cellular landscape of GBM and its peritumor from a single-cell perspective. Discovering new cell subtypes and biomarkers, and providing a theoretical basis for precision therapy.
methodsWe collected 8 tissue samples from 4 GBM patients to perform 10 × single-cell transcriptome sequencing. Quality control and filtering of data by Seurat package for clustering. Inferring copy number variations to identify malignant cells via the infercnv package. Functional enrichment analysis was performed by GSVA and clusterProfiler packages. STRING database and Cytoscape software were used to construct protein interaction networks. Inferring transcription factors by pySCENIC. Building cell differentiation trajectories via the monocle package. To infer intercellular communication networks by CellPhoneDB software.
resultsWe observed that the tumor microenvironment (TME) varies among different locations and different GBM patients. We identified a proliferative cluster of oligodendrocytes with high expression of mitochondrial genes. We also identified two clusters of myeloid cells, one primarily located in the peritumor exhibiting an M1 phenotype with elevated TNFAIP8L3 expression, and another in the tumor and peritumor showing a proliferative tendency towards an M2 phenotype with increased DTL expression. We identified XIST, KCNH7, SYT1 and DIAPH3 as potential factors associated with the proliferation of malignant cells in GBM.
conclusionsThese biomarkers and cell clusters we discovered may serve as targets for treatment. Targeted drugs developed against these biomarkers and cell clusters may enhance treatment efficacy, optimize immune therapy strategies, and improve the response rates of GBM patients to immunotherapy. Our findings provide a theoretical basis for the development of individualized treatment and precision medicine for GBM, which may be used to improve the survival of GBM patients.
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