ArticleFrontiers in oncology2022
Clinical and Biological Significance of a Necroptosis-Related Gene Signature in Glioma.
Article in Frontiers in oncology, 2022. 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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Who cites it
11 citing papers in PubMed, 12 citations in OpenAlex.
- Metabolic Reprogramming and Neurotransmitter Signaling Co-Option in the Glioma Immune Microenvironment: Dual-Axis Regulation of Immunosuppression.Biomolecules · 2026Review
- Construction and validation of a model based on necroptosis-related genes for predicting glioma prognosis.Discover oncology · 2026Article
- Unlocking glioma vulnerabilities: targeting regulated cell death pathways for innovative therapies.Cell death discovery · 2026Review
- Development and validation of a robust cuproptosis related signature for primary glioma via machine learning aided by loop training and validation.Discover oncology · 2026Article
- RIPK1 in Diffuse Glioma Pathology: From Prognosis Marker to Potential Therapeutic Target.International journal of molecular sciences · 2025Article
- Regulated cell death in glioma: promising targets for natural small-molecule compounds.Frontiers in oncology · 2024Review
- Identification of a Fibroblast-Related Prognostic Model in Glioma Based on Bioinformatics Methods.Biomolecules · 2022Article
- A Novel Necroptosis-Related Prognostic Signature of Glioblastoma Based on Transcriptomics Analysis and Single Cell Sequencing Analysis.Brain sciences · 2022Article
- A necroptosis-related lncRNA signature was identified to predict the prognosis and immune microenvironment of IDH-wild-type GBM.Frontiers in oncology · 2022Article
- Accumulation of RIPK1 into mitochondria is requisite for oxidative stress-mediated necroptosis and proliferation in Rat Schwann cells.International journal of medical sciences · 2022Article
- A novel necroptosis-related gene signature for predict prognosis of glioma based on single-cell and bulk RNA sequencing.Frontiers in molecular biosciences · 2022Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: As a novel form of programmed cell death, necroptosis is related to multiple tumor types and their immune microenvironments. However, its association with glioma has not been clarified. Methods: Necroptosis genes were obtained from the Gene Set Enrichment Analysis (GSEA) database. RNA-seq and clinical data were downloaded from TCGA and CGGA databases. A necroptosis gene signature was constructed based on univariate and multivariate Cox regression analyses. Next, survival analysis, independent prognostic analysis, and nomogram were performed to assess and verify the model. Subsequently, we analyzed the tumor microenvironment (TME) and immune cell infiltration Results: Of the seven prognostic necroptosis genes, RIPK1, RIPK3, FAS, and FADD were used to construct the risk signature that accurately predicts the prognosis of glioma patients. Functional enrichment results suggest that necroptosis is correlated with immune response and angiogenesis. Immune analysis revealed that necroptosis can boost inflammatory activity and attract immunosuppressive cell infiltration to form a chronic inflammatory microenvironment, promoting glioma growth. Additionally, glioma patients in the TCGA cohort with high necroptosis gene expression exhibited a better response to ICI therapy predicted by the TIDE algorithm. Conclusion: We constructed a necroptosis gene signature, which has the potential for use as a biomarker for predicting glioma patients' prognosis, revealing the association between necroptosis and the immune microenvironment, and serving as a reference for immune therapy.
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