肿瘤微环境
生物
癌症研究
T细胞
流式细胞术
免疫疗法
细胞培养
转录组
细胞生物学
免疫系统
免疫学
基因表达
基因
肿瘤细胞
遗传学
作者
Aizhen Xiong,Jiwei Zhang,Yan Chen,Yi Zhang,Yan Fan
出处
期刊:EBioMedicine
[Elsevier]
日期:2022-09-01
卷期号:83: 104239-104239
被引量:18
标识
DOI:10.1016/j.ebiom.2022.104239
摘要
Glioblastoma (GBM) is the most aggressive type of primary brain tumor and is often resistant to current therapies. Tumor microenvironment-centered therapies may unleash new hope for GBM treatment. Therefore, an in-depth understanding of tumor-stroma communication is urgently needed to identify promising therapeutic targets.We systematically analyzed GBM single-cell RNA sequencing (scRNA-seq), bulk RNA-seq and spatial scRNA-seq data from various human and mice studies to characterize the network within the microenvironment. Moreover, we applied ex vivo co-culture system, flow cytometry analysis and immunofluorescent staining to validate our findings.Our integrative analyses revealed that highly heterogeneous GBM tumor cells can be classified into MES-like, AC-like, OPC-like and NPC-like subtypes based on molecular studying. Additionally, trajectory and regulatory network inference implied a PN to MES cell state transition regulated by specific transcriptional factor (TF) regulons. Importantly, we discovered that glycoprotein nonmetastatic B (GPNMB) derived from macrophages played a crucial role in this transition through immune cell-tumor interplay. Besides, through deep signal transduction analyses and cell co-culture studies, we further disclosed that these GPNMB-high macrophage subpopulations, originating from monocytes, could also ineffectively retain T cells from activating by dendritic cells (DCs).Our study suggests that targeting this particular GPNMB-high macrophage subset may provide a new strategy to control GBM plasticity and facilitate T cell-based immunotherapy.A full list of funding bodies that contributed to this study can be found in the Acknowledgements section.
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