生物
髓样
仿形(计算机编程)
髓系细胞
疾病
癌症研究
巨噬细胞
竞赛(生物学)
胶质母细胞瘤
免疫学
神经科学
医学
病理
生态学
计算机科学
遗传学
体外
操作系统
作者
Ana Rita Pombo Antunes,Isabelle Scheyltjens,Francesca Lodi,Julie Messiaen,Asier Antoranz,Johnny Duerinck,Daliya Kancheva,Liesbet Martens,Karen De Vlaminck,Hannah Van Hove,Signe Schmidt Kjølner Hansen,Francesca Maria Bosisio,Koen Van der Borght,Steven De Vleeschouwer,Raf Sciot,Luc Bouwens,Michiel Verfaillie,Niels Vandamme,Roosmarijn E. Vandenbroucke,Olivier De Wever
标识
DOI:10.1038/s41593-020-00789-y
摘要
Glioblastomas are aggressive primary brain cancers that recur as therapy-resistant tumors. Myeloid cells control glioblastoma malignancy, but their dynamics during disease progression remain poorly understood. Here, we employed single-cell RNA sequencing and CITE-seq to map the glioblastoma immune landscape in mouse tumors and in patients with newly diagnosed disease or recurrence. This revealed a large and diverse myeloid compartment, with dendritic cell and macrophage populations that were conserved across species and dynamic across disease stages. Tumor-associated macrophages (TAMs) consisted of microglia- or monocyte-derived populations, with both exhibiting additional heterogeneity, including subsets with conserved lipid and hypoxic signatures. Microglia- and monocyte-derived TAMs were self-renewing populations that competed for space and could be depleted via CSF1R blockade. Microglia-derived TAMs were predominant in newly diagnosed tumors, but were outnumbered by monocyte-derived TAMs following recurrence, especially in hypoxic tumor environments. Our results unravel the glioblastoma myeloid landscape and provide a framework for future therapeutic interventions.
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