Genetic and Lineage Classification of Glioma-Initiating Cells Identifies a Clinically Relevant Glioblastoma Model.

作者: Norihiko Saito , Nozomi Hirai , Kazuya Aoki , Sho Sato , Ryo Suzuki

DOI: 10.3390/CANCERS11101564

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摘要: The Cancer Genome Atlas (TCGA) project described a robust gene expression-based molecular classification of glioblastoma (GBM), but the functional and biological significance subclasses has not been determined. present comprehensive analysis 25 glioma-initiating cell (GIC) lines classifies GIC into four subtypes (classical, mesenchymal, proneural, neural) that are closely related to TCGA GBM display distinct lineage characteristics differentiation behavior recapitulate neural development. More importantly, exhibit phenotypes in relation self-renewal capacity, proliferation, invasiveness, angiogenic potential vitro vivo. In addition, divergent patterns signaling pathway activation deactivation Wnt, Notch, TGF-β pathways. These results will improve drug discovery targeting certain genetic mutation development precision medicine.

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