Cell Lineage-Based Stratification for Glioblastoma. Cancer Cell 2020 Sep 14;38(3):366-379.e8
Date
07/11/2020Pubmed ID
32649888Pubmed Central ID
PMC7494533DOI
10.1016/j.ccell.2020.06.003Scopus ID
2-s2.0-85088376925 (requires institutional sign-in at Scopus site) 57 CitationsAbstract
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.
Author List
Wang Z, Sun D, Chen YJ, Xie X, Shi Y, Tabar V, Brennan CW, Bale TA, Jayewickreme CD, Laks DR, Alcantara Llaguno S, Parada LFAuthor
Daochun Sun PhD Assistant Professor in the Cell Biology, Neurobiology and Anatomy department at Medical College of WisconsinMESH terms used to index this publication - Major topics in bold
AnimalsAntineoplastic Agents
Brain Neoplasms
Cell Lineage
Dasatinib
Gene Expression Profiling
Gene Expression Regulation, Neoplastic
Glioblastoma
Humans
Kaplan-Meier Estimate
Mice, Knockout
Mice, Nude
Oligodendroglia
Xenograft Model Antitumor Assays
