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The proteomic landscape of glioblastoma recurrence reveals novel and targetable immunoregulatory drivers.

Authors :
Tatari, Nazanin
Khan, Shahbaz
Livingstone, Julie
Zhai, Kui
Mckenna, Dillon
Ignatchenko, Vladimir
Chokshi, Chirayu
Gwynne, William D.
Singh, Manoj
Revill, Spencer
Mikolajewicz, Nicholas
Zhu, Chenghao
Chan, Jennifer
Hawkins, Cynthia
Lu, Jian-Qiang
Provias, John P.
Ask, Kjetil
Morrissy, Sorana
Brown, Samuel
Weiss, Tobias
Source :
Acta Neuropathologica. Dec2022, Vol. 144 Issue 6, p1127-1142. 16p.
Publication Year :
2022

Abstract

Glioblastoma (GBM) is characterized by extensive cellular and genetic heterogeneity. Its initial presentation as primary disease (pGBM) has been subject to exhaustive molecular and cellular profiling. By contrast, our understanding of how GBM evolves to evade the selective pressure of therapy is starkly limited. The proteomic landscape of recurrent GBM (rGBM), which is refractory to most treatments used for pGBM, are poorly known. We, therefore, quantified the transcriptome and proteome of 134 patient-derived pGBM and rGBM samples, including 40 matched pGBM–rGBM pairs. GBM subtypes transition from pGBM to rGBM towards a preferentially mesenchymal state at recurrence, consistent with the increasingly invasive nature of rGBM. We identified immune regulatory/suppressive genes as important drivers of rGBM and in particular 2–5-oligoadenylate synthase 2 (OAS2) as an essential gene in recurrent disease. Our data identify a new class of therapeutic targets that emerge from the adaptive response of pGBM to therapy, emerging specifically in recurrent disease and may provide new therapeutic opportunities absent at pGBM diagnosis. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00016322
Volume :
144
Issue :
6
Database :
Academic Search Index
Journal :
Acta Neuropathologica
Publication Type :
Academic Journal
Accession number :
160076671
Full Text :
https://doi.org/10.1007/s00401-022-02506-4