Identification and preliminary treatment data of xenografts representing tcga-defined subtypes.

Journal Article

The Cancer Genome Atlas (TCGA) Network recently catalogued recurrent genomic abnormalities in glioblastoma (GBM). This genomic profiling lead to the molecular classification of GBMs into four subtypes: Proneural, Neural, Classical and Mesenchymal. The importance of identifying these subtypes stands to help researchers and clinicians to better understand GBMs with the potential to personalize treatment options and explore different therapeutic approaches that each subtype may require. As such, the development of preclinical xenograft models that represent each TCGA subtype serves to expedite the evaluation of targeted therapeutic strategies for the treatment of GBMs.

Full Text

Duke Authors

Cited Authors

  • Keir, ST; Roskoski, MA; Gasinski, D; Kwatra, MK; Friedman, HS; Bigner, DD

Published Date

  • July 2014

Published In

Volume / Issue

  • 16 Suppl 3 /

Start / End Page

  • iii35 -

PubMed ID

  • 25165298

Electronic International Standard Serial Number (EISSN)

  • 1523-5866

Digital Object Identifier (DOI)

  • 10.1093/neuonc/nou208.45

Language

  • eng

Conference Location

  • England