An Integrative Model of Cellular States, Plasticity, and Genetics for Glioblastoma
Name
nihms-1532254.pdf
Description
Accepted version
Size
3.39 MB
Format
Adobe PDF
Checksum (MD5)
8d92c5e4a56d3bf2150a5a554fdce147
Author(s)
Regev, Aviv
Date Issued
August 2019
Journal
Cell
Publisher
Elsevier BV
Citation
Neftel, Cyril et al. “An Integrative Model of Cellular States, Plasticity, and Genetics for Glioblastoma.” Cell, 178, 4 (August 2019): 835–849.e21 © 2019 The Author(s)
Version
Author's final manuscript
Abstract
Diverse genetic, epigenetic, and developmental programs drive glioblastoma, an incurable and poorly understood tumor, but their precise characterization remains challenging. Here, we use an integrative approach spanning single-cell RNA-sequencing of 28 tumors, bulk genetic and expression analysis of 401 specimens from the The Cancer Genome Atlas (TCGA), functional approaches, and single-cell lineage tracing to derive a unified model of cellular states and genetic diversity in glioblastoma. We find that malignant cells in glioblastoma exist in four main cellular states that recapitulate distinct neural cell types, are influenced by the tumor microenvironment, and exhibit plasticity. The relative frequency of cells in each state varies between glioblastoma samples and is influenced by copy number amplifications of the CDK4, EGFR, and PDGFRA loci and by mutations in the NF1 locus, which each favor a defined state. Our work provides a blueprint for glioblastoma, integrating the malignant cell programs, their plasticity, and their modulation by genetic drivers. Single-cell analyses of glioblastoma samples reveal multiple cellular states, their plasticity and the genetic underpinnings of state proportions in a given tumor.
MIT Department
Massachusetts Institute of Technology. Department of Biology
Koch Institute for Integrative Cancer Research at MIT
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/J.CELL.2019.06.024
