Article

Epigenetic neural glioblastoma enhances synaptic integration and predicts therapeutic vulnerability

2023-08-07

Abstract excerpt

<h4>ABSTRACT</h4> Neural-tumor interactions drive glioma growth as evidenced in preclinical models, but clinical validation is nascent. We present an epigenetically defined neural signature of glioblastoma that independently affects patients’ survival. We use reference signatures of neural cells to deconvolve tumor DNA and classify samples into low- or high-neural tumors. High-neural glioblastomas exhibit hypomet...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 4abf1316-47a1-5f63-85c8-63eaab6a38b8
DOI: 10.1101/2023.08.04.552017

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Epigenetic neural glioblastoma enhances synaptic integration and predicts therapeutic vulnerabilityDOI 10.1101/2023.08.04.552017Read

A prognostic neural epigenetic signature in high-grade gliomaSemantic proximity Read

Neuronal and tumourigenic boundaries of glioblastoma plasticitySemantic proximity Read

Glioblastoma cells increase expression of notch signaling and synaptic genes within infiltrated brain tissueSemantic proximity Read

Spatially Integrated Multi-Omics reveals the Multicellular Landscape of Progenitor-Driven Glioblastoma ProgressionSemantic proximity Read

Glioblastoma scRNA-seq shows treatment-induced, immune-dependent increase in mesenchymal cancer cells and structural variants in distal neural stem cellsSemantic proximity Read

Microenvironment-Driven Dynamic Chromatin Changes in Glioblastoma Recapitulate Early Neural Development at Single-Cell ResolutionSemantic proximity Read

Region-specific human brain organoids reveal synaptic and cell state drivers of glioblastoma invasionSemantic proximity Read

GLIOBLASTOMA MULTIFORME: A META-ANALYSIS OF DRIVER GENES, CURRENT DIAGNOSIS, AND TUMOR HETEROGENEITYSemantic proximity Read

Glioblastoma multiforme: a multi-omics analysis of driver genes and tumour heterogeneitySemantic proximity Read

Neural network learning defines glioblastoma features to be of neural crest perivascular or radial glia lineagesSemantic proximity Read

Single-cell RNA-seq reveals that glioblastoma recapitulates normal brain developmentSemantic proximity Read

Next Generation Sequencing and Machine Learning Technologies Are Painting the Epigenetic Portrait of GlioblastomaSemantic proximity Read