| Literature DB >> 36178522 |
Nazanin Tatari1, Shahbaz Khan2, Julie Livingstone3, Kui Zhai4, Dillon Mckenna4, Vladimir Ignatchenko2, Chirayu Chokshi1, William D Gwynne1, Manoj Singh1,4, Spencer Revill5, Nicholas Mikolajewicz6, Chenghao Zhu3, Jennifer Chan7, Cynthia Hawkins8, Jian-Qiang Lu9, John P Provias9, Kjetil Ask5, Sorana Morrissy10, Samuel Brown10, Tobias Weiss11, Michael Weller11, Hong Han6, Jeffrey N Greenspoon12, Jason Moffat6, Chitra Venugopal4, Paul C Boutros13,14, Sheila K Singh15,16, Thomas Kislinger17,18.
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.Entities:
Keywords: Glioblastoma; Immunosuppression; OAS2; Proteomics
Year: 2022 PMID: 36178522 DOI: 10.1007/s00401-022-02506-4
Source DB: PubMed Journal: Acta Neuropathol ISSN: 0001-6322 Impact factor: 15.887