髓样
生物
质量细胞仪
肿瘤微环境
表型
髓系细胞
癌症研究
细胞
趋化因子
免疫学
肿瘤细胞
炎症
遗传学
基因
作者
Michael Haley,Leoma Bere,James Minshull,Sokratia Georgaka,Natalia Garcia-Martin,Gareth Howell,David Coope,Federico Roncaroli,Andrew T. King,David C. Wedge,Stuart M. Allan,Omar Pathmanaban,David Brough,Kevin N. Couper
出处
期刊:Science Advances
[American Association for the Advancement of Science]
日期:2024-05-17
卷期号:10 (20): eadj3301-eadj3301
被引量:56
标识
DOI:10.1126/sciadv.adj3301
摘要
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.
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