IL-8 Instructs Macrophage Identity in Lateral Ventricle Contacting Glioblastoma
Medina, S.; Brockman, A. A.; Cross, C. E.; Hayes, M. J.; Mobley, B. C.; Mistry, A. M.; Chotai, S.; Weaver, K. D.; Thompson, R.; Chambless, L. B.; Ihrie, R. A.; Irish, J. M.
Show abstract
Adult IDH-wildtype glioblastoma (GBM) is a highly aggressive brain tumor with no established immunotherapy or targeted therapy. Recently, CD32+ HLA-DRhi macrophages were shown to have displaced resident microglia in GBM tumors that contact the lateral ventricle stem cell niche. Since these lateral ventricle contacting GBM tumors have especially poor outcomes, identifying the origin and role of these CD32+ macrophages is likely critical to developing successful GBM immunotherapies. Here, we identify these CD32+ cells as M_IL-8 macrophages and establish that IL-8 is sufficient and necessary for tumor cells to instruct healthy macrophages into CD32+ M_IL-8 M2 macrophages. In ex vivo experiments with conditioned medium from primary human tumor cells, inhibitory antibodies to IL-8 blocked the generation of CD32+ M_IL-8 cells. Finally, using a set of 73 GBM tumors, IL-8 protein is shown to be present in GBM tumor cells in vivo and especially common in tumors contacting the lateral ventricle. These results provide a mechanistic origin for CD32+ macrophages that predominate in the microenvironment of the most aggressive GBM tumors. IL-8 and CD32+ macrophages should now be explored as targets in combination with GBM immunotherapies, especially for patients whose tumors present with radiographic contact with the ventricular-subventricular zone stem cell niche. - IL-8 is expressed by GBM cells and enriched in lateral ventricle-contacting tumors - M_IL-8 macrophages are CD32+ HLA-DR++ CD163+ CD206+ CD86- PD-L1- - M_IL-8 macrophages instructed with IL-8 or GBM conditioned medium match human glioblastoma associated macrophages - IL-8 is necessary for GBM tumor cells to generate M_IL-8 macrophages
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- miR-644a is a tumor cell-intrinsic mediator of sex bias in glioblastoma 95%
- Tumor Edge-to-Core Transition Promotes Malignancy in Primary-to-Recurrent Glioblastoma Progression in a PLAGL1/CD109-mediated mechanism 94%
- Spatial architecture of high-grade glioma reveals tumor heterogeneity within distinct domains 94%
Similar papers in this journal
- FYN tyrosine kinase, a downstream target of receptor tyrosine kinases, modulates anti-glioma immune responses 96%
- TIGIT expression dictates the immunosuppressive reprogramming of myeloid cells in glioblastoma 95%
- Spatial profiling of longitudinal glioblastoma reveals consistent changes in cellular architecture, post-treatment 95%
Similar papers in this journal
- GD2-targeting CAR-T cells enhanced by transgenic IL-15 expression are an effective and clinically feasible therapy for glioblastoma 95%
- Oncolytic HSV-IL27 expression improves CD8 T cell function and therapeutic activity in syngeneic glioma models 94%
- Differential Phagocytosis induces Diverse Macrophage Activation States in Malignant Gliomas 93%
Similar papers in this journal
- Immuno-Phenotyping of High-Grade Glioma Infiltrating Immune Cells Reveals Grade Specific Differences in Cells of Myeloid Origin 97%
- EphA2 and Phosphoantigen-Mediated Selective Killing of Medulloblastoma by γδT Cells Preserves Neuronal and Stem Cell Integrity 94%
- Patient-derived tumor explant models of tumor immune microenvironment reveal distinct and reproducible immunotherapy responses 92%
Similar papers in this journal
- Preclinical modeling of surgery and steroid therapy for glioblastoma reveals changes in immunophenotype that are associated with tumor growth and outcome 95%
- CD8+ T-cell-mediated immunoediting influences genomic evolution and immune evasion in murine gliomas 94%
- Remote Neuroinflammation in Newly Diagnosed Glioblastoma Correlates with Unfavorable Clinical Outcome 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.