Integrated Genomic Analysis Identifies Clinically Relevant Subtypes of Glioblastoma Characterized by Abnormalities in PDGFRA, IDH1, EGFR, and NF1 Academic Article uri icon

Overview

MeSH Major

  • Brain Neoplasms
  • Glioblastoma
  • Isocitrate Dehydrogenase
  • Neurofibromatosis 1
  • Receptor, Epidermal Growth Factor
  • Receptor, Platelet-Derived Growth Factor alpha

abstract

  • The Cancer Genome Atlas Network recently cataloged recurrent genomic abnormalities in glioblastoma multiforme (GBM). We describe a robust gene expression-based molecular classification of GBM into Proneural, Neural, Classical, and Mesenchymal subtypes and integrate multidimensional genomic data to establish patterns of somatic mutations and DNA copy number. Aberrations and gene expression of EGFR, NF1, and PDGFRA/IDH1 each define the Classical, Mesenchymal, and Proneural subtypes, respectively. Gene signatures of normal brain cell types show a strong relationship between subtypes and different neural lineages. Additionally, response to aggressive therapy differs by subtype, with the greatest benefit in the Classical subtype and no benefit in the Proneural subtype. We provide a framework that unifies transcriptomic and genomic dimensions for GBM molecular stratification with important implications for future studies.

authors

publication date

  • January 19, 2010

Research

keywords

  • Academic Article

Identity

Language

  • eng

PubMed Central ID

  • PMC2818769

Digital Object Identifier (DOI)

  • 10.1016/j.ccr.2009.12.020

PubMed ID

  • 20129251

Additional Document Info

start page

  • 98

end page

  • 110

volume

  • 17

number

  • 1