ArticleJournal of neuroinflammation2020
Immunological classification of gliomas based on immunogenomic profiling.
Article in Journal of neuroinflammation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 34 citations in OpenAlex.
- Single-cell analysis identifies a VIM+ glioma stem-like vascular-immune state linked to myeloid OSM signaling and CEBPD activity.Frontiers in immunology · 2026Article
- Quantitative profiling of intratumor immune heterogeneity identifies loss of immune diversity as a hallmark of cancer progression.NPJ precision oncology · 2025Article
- 18F-Fluciclovine PET enables accurate and safe resection of malignant brain tumors: illustrative cases.Journal of neurosurgery. Case lessons · 2025Article
- Immunogenomic classification and nomogram development and validation for colorectal cancer survival prediction based on immune-related genes.Translational cancer research · 2025Article
- Analysis of transcription profiles for the identification of master regulators as the key players in glioblastoma.Computational and structural biotechnology journal · 2024Article
- Glioma immune microenvironment composition calculator (GIMiCC): a method of estimating the proportions of eighteen cell types from DNA methylation microarray data.Acta neuropathologica communications · 2024Article
- Identifying Diffuse Glioma Subtypes Based on Pathway Enrichment Evaluation.Interdisciplinary sciences, computational life sciences · 2024Article
- Expression of overall survival-EMT-immune cell infiltration genes predict the prognosis of glioma.Non-coding RNA research · 2024Article
- Advances in Mass Spectrometry of Gangliosides Expressed in Brain Cancers.International journal of molecular sciences · 2024Review
- Review
- Proteogenomic characterization of ferroptosis regulators reveals therapeutic potential in glioblastoma.BMC cancer · 2023Article
- Classification of triple-negative breast cancer based on pathway enrichment levels.Medical oncology (Northwood, London, England) · 2023Article
- Novel Cuproptosis-Related Gene Signature for Precise Identification of High-Risk Populations in Low-Grade Gliomas.Mediators of inflammation · 2023Article
- Netie: inferring the evolution of neoantigen-T cell interactions in tumors.Nature methods · 2022Article
- Comprehensive analysis of epigenetics regulation, prognostic and the correlation with immune infiltrates of GPX7 in adult gliomas.Scientific reports · 2022Article
- Subtyping of sarcomas based on pathway enrichment scores in bulk and single cell transcriptomes.Journal of translational medicine · 2022Article
- Identification and Validation of a Gene Signature for Lower-Grade Gliomas Based on Pyroptosis-Related Genes to Predict Survival and Response to Immune Checkpoint Inhibitors.Journal of healthcare engineering · 2022Article
- Immune landscape-based machine-learning-assisted subclassification, prognosis, and immunotherapy prediction for glioblastoma.Frontiers in immunology · 2022Article
- Diverse Macrophages Constituted the Glioma Microenvironment and Influenced by PTEN Status.Frontiers in immunology · 2022Article
- Integrative Genomic and Transcriptomic Analysis of Primary Malignant Gliomas Revealed Different Patterns Between Grades and Somatic Mutations Related to Glioblastoma Prognosis.Frontiers in molecular biosciences · 2022Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGliomas are heterogeneous in the tumor immune microenvironment (TIM). However, a classification of gliomas based on immunogenomic profiling remains lacking.
methodsWe hierarchically clustered gliomas based on the enrichment levels of 28 immune cells in the TIM in five datasets and obtained three clusters: immunity-high, immunity-medium, and immunity-low.
resultsGlioblastomas were mainly distributed in immunity-high and immunity-medium, while lower-grade gliomas were distributed in all the three subtypes and predominated in immunity-low. Immunity-low displayed a better survival than other subtypes, indicating a negative correlation between immune infiltration and survival prognosis in gliomas. IDH mutations had a negative correlation with glioma immunity. Immunity-high had higher tumor stemness and epithelial-mesenchymal transition scores and included more high-grade tumors than immunity-low, suggesting that elevated immunity is associated with tumor progression in gliomas. Immunity-high had higher tumor mutation burden and more frequent somatic copy number alterations, suggesting a positive association between tumor immunity and genomic instability in gliomas.
conclusionsThe identification of immune-specific glioma subtypes has potential clinical implications for the immunotherapy of gliomas.
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