Hypoxia coordinates the spatial landscape of myeloid cells within glioblastoma to affect survival

Author:

Haley Michael J.12ORCID,Bere Leoma12ORCID,Minshull James13ORCID,Georgaka Sokratia4,Garcia-Martin Natalia5ORCID,Howell Gareth6ORCID,Coope David J.137ORCID,Roncaroli Federico137ORCID,King Andrew178,Wedge David C.9ORCID,Allan Stuart M.13,Pathmanaban Omar N.137,Brough David123ORCID,Couper Kevin N.12ORCID

Affiliation:

1. Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, UK.

2. Lydia Becker Institute of Inflammation and Immunology, University of Manchester, Manchester, UK.

3. Division of Neuroscience, University of Manchester, Manchester, UK.

4. Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, UK.

5. Department of Statistics, University of Oxford, Oxford, UK.

6. Flow Cytometry Core Research Facility, University of Manchester, Manchester, UK.

7. Manchester Centre for Clinical Neurosciences, Manchester, UK.

8. Division of Cardiovascular Sciences, University of Manchester, Manchester, UK.

9. Manchester Cancer Research Centre, University of Manchester, Manchester, UK.

Abstract

Myeloid cells are highly prevalent in glioblastoma (GBM), existing in a spectrum of phenotypic and activation states. We now have limited knowledge of the tumor microenvironment (TME) determinants that influence the localization and the functions of the diverse myeloid cell populations in GBM. Here, we have utilized orthogonal imaging mass cytometry with single-cell and spatial transcriptomic approaches to identify and map the various myeloid populations in the human GBM tumor microenvironment (TME). Our results show that different myeloid populations have distinct and reproducible compartmentalization patterns in the GBM TME that is driven by tissue hypoxia, regional chemokine signaling, and varied homotypic and heterotypic cellular interactions. We subsequently identified specific tumor subregions in GBM, based on composition of identified myeloid cell populations, that were linked to patient survival. Our results provide insight into the spatial organization of myeloid cell subpopulations in GBM, and how this is predictive of clinical outcome.

Publisher

American Association for the Advancement of Science (AAAS)

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