Cell Lineage-Based Stratification for Glioblastoma

Cancer Cell. 2020 Sep 14;38(3):366-379.e8. doi: 10.1016/j.ccell.2020.06.003. Epub 2020 Jul 9.

Abstract

Glioblastoma, the predominant adult malignant brain tumor, has been computationally classified into molecular subtypes whose functional relevance remains to be comprehensively established. Tumors from genetically engineered glioblastoma mouse models initiated by identical driver mutations in distinct cells of origin portray unique transcriptional profiles reflective of their respective lineage. Here, we identify corresponding transcriptional profiles in human glioblastoma and describe patient-derived xenografts with species-conserved subtype-discriminating functional properties. The oligodendrocyte lineage-associated glioblastoma subtype requires functional ERBB3 and harbors unique therapeutic sensitivities. These results highlight the importance of cell lineage in glioblastoma independent of driver mutations and provide a methodology for functional glioblastoma classification for future clinical investigations.

Keywords: Erbb3; GBM; PDX; cell of origin; glioblastoma; molecular classification; molecular subtype; mouse model; neural stem cell; oligodendrocyte lineage cell.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Antineoplastic Agents / pharmacology
  • Brain Neoplasms / drug therapy
  • Brain Neoplasms / genetics*
  • Brain Neoplasms / pathology
  • Cell Lineage / genetics*
  • Dasatinib / pharmacology
  • Gene Expression Profiling / methods*
  • Gene Expression Regulation, Neoplastic*
  • Glioblastoma / drug therapy
  • Glioblastoma / genetics*
  • Glioblastoma / pathology
  • Humans
  • Kaplan-Meier Estimate
  • Mice, Knockout
  • Mice, Nude
  • Oligodendroglia / cytology
  • Oligodendroglia / metabolism
  • Xenograft Model Antitumor Assays / methods

Substances

  • Antineoplastic Agents
  • Dasatinib