ArticleAnnals of medicine2024
Necroptosis-based glioblastoma prognostic subtypes: implications for TME remodeling and therapy response.
Article in Annals of medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- Multi omics and mechanistic investigation reveals CBFB as a prognostic biomarker in gastric cancer.Discover oncology · 2026Article
- Downregulation of TNFAIP3 Associated With Poor Prognosis and Immune Response in Breast Cancer.Cancer reports (Hoboken, N.J.) · 2026Article
- Remodeling the tumor immune microenvironment: mechanisms of crosstalk between regulated cell death macrophages.Frontiers in immunology · 2026Review
- Pan-cancer and machine learning reveal the role of cell adhesion molecules in prognosis, immune remodeling, and anti-tumour therapy in lower-grade gliomas.Discover oncology · 2025Article
- Development and validation of hierarchical signature for precision individualized therapy based on the landscape associated with necroptosis in clear cell renal cell carcinoma.Frontiers in pharmacology · 2025Article
- Predictive radiomics for evaluation of cancer immune signature in glioblastoma: The PRECISE-GBM study.Neuro-oncology advancesArticle
Corrections and comments
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGlioblastoma (GBM) is an aggressive primary brain tumor with a high recurrence rate and poor prognosis. Necroptosis, a pathological hallmark of GBM, is poorly understood in terms of its role in prognosis, tumor microenvironment (TME) alteration, and immunotherapy. METHODS &
resultsWe assessed the expression of 55 necroptosis-related genes in GBM and normal brain tissues. We identified necroptosis-stratified clusters using Uni-Cox and Least Absolute Shrinkage and Selection Operator (LASSO) regression to establish the 10-gene Glioblastoma Necroptosis Index (GNI). GNI demonstrated significant prognostic efficacy in the TCGA dataset (
conclusionsOur study highlights the role of necroptosis-related genes in glioblastoma (GBM) and their effects on the tumor microenvironment and patient prognosis. TheGNI demonstrates potential as a prognostic marker and provides insights into immune characteristics and treatment responsiveness.
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Registered trials
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