Background: 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.
Methods: 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.
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).
Interpretation: 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.
Funding: A full list of funding bodies that contributed to this study can be found in the Acknowledgements section.
Keywords: Glioblastoma; Glycoprotein NMB; Integrated analysis; Macrophages; Single cell.
Copyright © 2022 The Author(s). Published by Elsevier B.V. All rights reserved.