Ajaib, S., Winter-Luke, J., Digby, R.J. et al. (12 more authors) (2025) Spatial profiling of longitudinal glioblastoma reveals consistent changes in cellular architecture, post-treatment. Neuro-Oncology. noaf190. ISSN: 1522-8517
Abstract
Background Glioblastoma (GBM), the most aggressive adult brain cancer, comprises a complex tumor microenvironment (TME) with diverse cellular interactions that drive progression and pathobiology. The aim of this study was to understand how these spatial patterns and interactions evolve with treatment.
Methods To explore these relationships, we employed imaging mass cytometry to measure the expression of 34 protein markers, enabling the identification of GBM-specific cell types and their interactions at the single-cell protein level in paired primary (pre-treatment) and recurrent (post-treatment) GBM samples from five patients.
Results We find a significant post-treatment increase in normal brain cells alongside a reduction in vascular cells. Moreover, despite minimal overall change in cellular diversity, interactions among astrocytes, oligodendrocytes, and vascular cells increase post-treatment, suggesting reorganization of the TME. The GBM TME cells form spatially organized layers driven by hypoxia pre-treatment, but this influence diminishes post-treatment, giving way to less organized layers with organization driven by reactive astrocytes and lymphocytes.
Conclusions These findings provide insight into treatment-induced shifts in GBM’s cellular landscape, highlighting aspects of the evolving TME that appear to facilitate recurrence and are, therefore, potential therapeutic targets.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s) 2025. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
Keywords: | glioblastoma, GBM, IDHwt, TME, imaging mass cytometry, IMC |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) The University of Leeds > Faculty of Biological Sciences (Leeds) > School of Molecular and Cellular Biology (Leeds) The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 19 Sep 2025 10:03 |
Last Modified: | 19 Sep 2025 10:03 |
Status: | Published online |
Publisher: | Oxford University Press |
Identification Number: | 10.1093/neuonc/noaf190 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:231881 |