GLIOBLASTOMA MULTIFORME: A META-ANALYSIS OF DRIVER GENES, CURRENT DIAGNOSIS, AND TUMOR HETEROGENEITY

摘要: Abstract Glioblastoma (GBM) is the most aggressive and common brain cancer in adults with lowest life expectancy. The current neuro-oncology practice has incorporated genes involved key molecular events that drive GBM tumorigenesis as biomarkers to guide diagnosis design treatment. This study summarizes findings describing significant heterogeneity of at transcriptional genomic levels, emphasizing eighteen driver clinical relevance. A pattern was identified fitting stem cell model for ontogenesis, an up-regulation profile MGMT down-regulation ATRX, H3F3A, TP53, EGFR mesenchymal subtype. We also detected overexpression EGFR, NES, VIM, TP53 classical subtype MKi67 OLIG2 proneural In keeping this, we found a panel nine strong potential determine unique distribution somatic mutations young adult population, particularly related DNA repair chromatin remodeling, highlighting MGMT, IDH1. Our results revealed highly lesioned undergo differential regulation particular biological pathways patients. meta-analysis will help delineate future strategies use these markers decision-making medical routine.