ArticleTranslational cancer research2026
Prognostic value of palmitoylation-regulated mechanisms in glioblastoma: integrated multi-omics analysis via least absolute shrinkage and selection operator (LASSO) regression and single-cell sequencing.
Article in Translational cancer research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Identification and functional characterization of ASCC2 as a diagnostic biomarker and immune regulatory hub in Kawasaki disease.Clinical rheumatology · 2026Article
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6 authors.
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Abstract
Background: Accumulating evidence highlights the critical role of palmitoylation in tumorigenesis, including the regulation of oncogenic signaling pathways, metabolic reprogramming, and immune evasion mechanisms. This study was designed to systematically investigate the prognostic significance of palmitoylation-related genes in glioblastoma multiforme (GBM). Methods: Through comparative transcriptome analysis of GBM and normal brain tissues based on The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx), we identified 343 palmitoylation-related differentially expressed genes (DEGs). Subsequently, 80 candidate genes were extracted from the constructed protein-protein interaction (PPI) network. By applying the machine learning algorithm-least absolute shrinkage and selection operator (LASSO) regression combined with Kaplan-Meier (K-M) survival analysis, we identified core genes significantly associated with patients' overall survival (OS). Furthermore, single-cell RNA sequencing (scRNA-seq) analysis demonstrated that Results: Palmitoylation-related gene expression was higher in GBM tissues than in normal brain tissue. Conclusions: This study was designed to systematically investigate the prognostic significance of palmitoylation-related genes in GBM.
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