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The multilayered transcriptional architecture of glioblastoma ecosystems

  • Masashi Nomura
  • , Avishay Spitzer
  • , Kevin C. Johnson
  • , Luciano Garofano
  • , Djamel Nehar-belaid
  • , Noam Galili Darnell
  • , Alissa C. Greenwald
  • , Lillian Bussema
  • , Young Taek Oh
  • , Frederick S. Varn
  • , Fulvio D’Angelo
  • , Simon Gritsch
  • , Kevin J. Anderson
  • , Simona Migliozzi
  • , L. Nicolas Gonzalez Castro
  • , Tamrin ChowdhFury
  • , Nicolas Robine
  • , Catherine Reeves
  • , Jong Bae Park
  • , Anuja Lipsa
  • Frank Hertel, Anna Golebiewska, Simone P. Niclou, Labeeba Nusrat, Sorcha Kellet, Sunit Das, Hyo Eun Moon, Sun Ha Paek, Franck Bielle, Alice Laurenge, Anna Luisa di Stefano, Bertrand Mathon, Alberto Picca, Marc Sanson, Shota Tanaka, Nobuhito Saito, David M. Ashley, Stephen T. Keir, Keith L. Ligon, Jason T. Huse, W. K. Alfred Yung, Anna Lasorella*, Roel G. W. Verhaak*, Antonio Iavarone*, Mario L. Suvà*, Itay Tirosh*
*Corresponding author for this work
  • Massachusetts General Hospital
  • Broad Institute of MIT and Harvard
  • The University of Tokyo
  • Weizmann Institute of Science
  • Tel Aviv Sourasky Medical Center
  • Tel Aviv University
  • Yale University
  • University of Miami
  • Jackson Laboratory
  • University of Connecticut
  • Harvard University
  • New York Genome Center
  • National Cancer Center Korea
  • Luxembourg Institute of Health
  • University of Luxembourg
  • University of Toronto
  • Seoul National University
  • Sorbonne Université
  • Hôpital Foch
  • Ospedali Riuniti di Livorno
  • Assistance publique – Hôpitaux de Paris
  • Duke University
  • Brigham and Women’s Hospital
  • Dana-Farber Cancer Institute
  • University of Texas MD Anderson Cancer Center
  • Amsterdam UMC - University of Amsterdam

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

In isocitrate dehydrogenase wildtype glioblastoma (GBM), cellular heterogeneity across and within tumors may drive therapeutic resistance. Here we analyzed 121 primary and recurrent GBM samples from 59 patients using single-nucleus RNA sequencing and bulk tumor DNA sequencing to characterize GBM transcriptional heterogeneity. First, GBMs can be classified by their broad cellular composition, encompassing malignant and nonmalignant cell types. Second, in each cell type we describe the diversity of cellular states and their pathway activation, particularly an expanded set of malignant cell states, including glial progenitor cell-like, neuronal-like and cilia-like. Third, the remaining variation between GBMs highlights three baseline gene expression programs. These three layers of heterogeneity are interrelated and partially associated with specific genetic aberrations, thereby defining three stereotypic GBM ecosystems. This work provides an unparalleled view of the multilayered transcriptional architecture of GBM. How this architecture evolves during disease progression is addressed in the companion manuscript by Spitzer et al.
Original languageEnglish
Article number3406
Pages (from-to)1155-1167
Number of pages13
JournalNat. Genet.
Volume57
Issue number5
Early online date2025
DOIs
Publication statusPublished - May 2025
Externally publishedYes

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