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January 25, 2026International Journal of Molecular Sciences0 citationsOpen Access

Promoter Methylation–Expression Coupling of Gliogenesis Genes in IDH-Wildtype Glioblastoma: Longitudinal Analysis and Prognostic Value

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RRRoxana RaduLTLigia Gabriela TătăranuADAnica Dricu

Key Points

  • This research aims to examine the relationship between promoter methylation and gene expression in gliogenesis genes in IDH-wildtype glioblastomas, assessing their prognostic value.
  • Systematic profiling of DNA methylation dynamics using the GEO dataset with 226 IDH-wildtype glioblastomas.
  • Development of a 48-gene promoter panel based on gliogenesis-annotated genes.
  • Statistical analysis using one-sample Wilcoxon test with FDR correction.
  • Functional enrichment and correlation analyses of promoter methylation and gene expression.
  • Promoter hypomethylation was predominant, with 25 genes consistently hypomethylated and 7 hypermethylated across stages.
  • In TCGA, 11 of 33 genes showed an inverse relationship between promoter methylation and expression.
  • An Expression Score positively associated with better prognosis, indicating higher scores correlated with improved overall survival.
  • CNTN2 and TSPAN2 were identified as adverse prognostic genes.

Abstract

Glioblastoma (GBM) shows extensive epigenetic heterogeneity. In IDH-wildtype (IDH-WT) GBM, promoter DNA methylation may regulate lineage programs influencing tumor evolution and prognosis; here, we systematically profiled promoter-level methylation dynamics across longitudinal tumors. Genome-wide DNA methylation data were obtained from the publicly available Gene Expression Omnibus (GEO; GSE279073) dataset, comprising a longitudinal cohort of 226 IDH-wildtype glioblastomas profiled on the Illumina Infinium EPIC 850K array across primary and recurrent stages at the University of California, San Francisco. From 333 Gene Ontology gliogenesis-annotated genes (GO:0042063), a 48-gene promoter panel was derived, with ≥2 probes per gene. Promoter methylation was summarized as the median β-value and tested using one-sample Wilcoxon with FDR correction. Functional enrichment, longitudinal variation, and patient-level methylation burden were assessed. Validation analyses were performed using independent IDH-wildtype GBM datasets from The Cancer Genome Atlas (RNA-seq and 450K methylation; n = 347). Promoter hypomethylation predominated across all stages, with 25 genes consistently hypomethylated and 7 hypermethylated. Functional enrichment highlighted gliogenesis, glial cell differentiation, neurogenesis, and Notch-related signaling. In TCGA, promoter methylation inversely correlated with expression for 11 of 33 genes (FDR < 0.05). An Expression Score contrasting hypomethylated and hypermethylated genes was positively associated with improved overall survival, where higher scores predicted better outcome (HR = 0.87, p = 0.016; Q4 vs. Q1 HR = 0.68, p = 0.025), and a complementary Methylation Score showed that higher promoter hypermethylation predicted poorer outcome (HR = 1.73, p < 0.001). CNTN2 and TSPAN2 were adverse prognostic genes (FDR < 0.05). The Expression Score was highest in Proneural tumors and lowest in Mesenchymal tumors (p < 0.001), reflecting a proneural-like state associated with better prognosis. Promoter methylation within gliogenesis genes defines a stable yet prognostically informative epigenetic signature in IDH-WT GBM. Hypomethylation promotes transcriptional activation and a favorable outcome, whereas hypermethylation represses lineage programs and predicts poorer survival.

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Cite This Study

Radu et al. (2026) studied this question.

synapsesocial.com/papers/6975b1eafeba4585c2d6d644https://doi.org/10.3390/ijms27021112
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