ArticleClinical epigenetics2023
Regulatory networks driving expression of genes critical for glioblastoma are controlled by the transcription factor c-Jun and the pre-existing epigenetic modifications.
Article in Clinical epigenetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 20 citations in OpenAlex.
- UPP1 in Cancer: Context-Dependent Roles in Metabolic Adaptation and Treatment Response.Current issues in molecular biology · 2026Review
- Enhancer-based gene therapy: a new path for precision medicine.Hereditas · 2026Review
- Transcription-based comparison ofMicrobiology spectrum · 2026Article
- Extracellular matrix stiffness conditions glioblastoma cells for long-term migration: Mechanical memory as a driver of invasion and recurrence in glioblastoma.Neuro-oncology · 2026Review
- Molecular characterization of macrophage-related prognostic factors in glioblastoma revealed by combined analysis on single-cell and bulk transcriptome data.Discover oncology · 2025Article
- HOX gene dysregulation in glioblastoma: a narrative review of current advances.Discover oncology · 2025Review
- Gene regulatory networks analysis for the discovery of prognostic genes in gliomas.Scientific reports · 2025Article
- Three-dimensional regulatory hubs support oncogenic programs in glioblastoma.Molecular cell · 2025Article
- Single-nucleus RNA sequencing: immature excitatory neurons and transformed glia build human BRAFBrain communications · 2025Article
- A Gene Signature Developed Based on Reactive Oxygen Species to Predict the Metabolism, Immunity, Mutational Status, and Prognostic Survival for Glioblastoma.Current medicinal chemistry · 2025Article
- Unravelling molecular mechanism of oral squamous cell carcinoma and genetic landscape: an insight into disease complexity, available therapies, and future considerations.Frontiers in immunology · 2025Review
- Three-dimensional regulatory hubs support oncogenic programs in glioblastoma.bioRxiv : the preprint server for biology · 2024Article
- Construction and validation of a novel prognostic model with palmitoylation-related genes for glioblastoma.Translational cancer research · 2024Article
- Eslicarbazepine induces apoptosis and cell cycle arrest in C6 glioma cells in vitro and suppresses tumor growth in an intracranial rat model.BMC cancer · 2024Article
- FOSL2-mediated transcription of ISG20 induces M2 polarization of macrophages and enhances tumorigenic ability of glioblastoma cells.Journal of neuro-oncology · 2024Article
- Navigating the Gene Co-Expression Network and Drug Repurposing Opportunities for Brain Disorders Associated with Neurocognitive Impairment.Brain sciences · 2023Article
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10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGlioblastoma (GBM, WHO grade IV) is an aggressive, primary brain tumor. Despite extensive tumor resection followed by radio- and chemotherapy, life expectancy of GBM patients did not improve over decades. Several studies reported transcription deregulation in GBMs, but regulatory mechanisms driving overexpression of GBM-specific genes remain largely unknown. Transcription in open chromatin regions is directed by transcription factors (TFs) that bind to specific motifs, recruit co-activators/repressors and the transcriptional machinery. Identification of GBM-related TFs-gene regulatory networks may reveal new and targetable mechanisms of gliomagenesis.
resultsWe predicted TFs-regulated networks in GBMs in silico and intersected them with putative TF binding sites identified in the accessible chromatin in human glioma cells and GBM patient samples. The Cancer Genome Atlas and Glioma Atlas datasets (DNA methylation, H3K27 acetylation, transcriptomic profiles) were explored to elucidate TFs-gene regulatory networks and effects of the epigenetic background. In contrast to the majority of tumors, c-Jun expression was higher in GBMs than in normal brain and c-Jun binding sites were found in multiple genes overexpressed in GBMs, including VIM, FOSL2 or UPP1. Binding of c-Jun to the VIM gene promoter was stronger in GBM-derived cells than in cells derived from benign glioma as evidenced by gel shift and supershift assays. Regulatory regions of the majority of c-Jun targets have distinct DNA methylation patterns in GBMs as compared to benign gliomas, suggesting the contribution of DNA methylation to the c-Jun-dependent gene expression.
conclusionsGBM-specific TFs-gene networks identified in GBMs differ from regulatory pathways attributed to benign brain tumors and imply a decisive role of c-Jun in controlling genes that drive glioma growth and invasion as well as a modulatory role of DNA methylation.
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