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Single-Cell Analyses Inform Mechanisms of Myeloid-Targeted Therapies in Colon Cancer
Abstract
Single-cell RNA sequencing (scRNA-seq) is a powerful tool for defining cellular diversity in tumors, but its application toward dissecting mechanisms underlying immune-modulating therapies is scarce. We performed scRNA-seq analyses on immune and stromal populations from colorectal cancer patients, identifying specific macrophage and conventional dendritic cell (cDC) subsets as key mediators of cellular cross-talk in the tumor microenvironment. Defining comparable myeloid populations in mouse tumors enabled characterization of their response to myeloid-targeted immunotherapy. Treatment with anti-CSF1R preferentially depleted macrophages with an inflammatory signature but spared macrophage populations that in mouse and human expresses pro-angiogenic/tumorigenic genes. Treatment with a CD40 agonist antibody preferentially activated a cDC population and increased Bhlhe40 + Th1-like cells and CD8 + memory T cells. Our comprehensive analysis of key myeloid subsets in human and mouse identifies critical cellular interactions regulating tumor immunity and defines mechanisms underlying myeloid-targeted immunotherapies currently undergoing clinical testing.
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“High expression of RHOH is also detected in neutrophils from Coronavirus Disease 2019 (COVID-19) patients [39] and in tumor-infiltrating neutrophils in mice [40] as assessed by analyzing publicly accessible single-cell RNA sequencing (scRNA-seq) datasets (GEO GSE158055 and ArrayExpress E-MTAB-8832, respectively) (S1B and S1C Fig)”
From Nascent RHOH acts as a molecular brake on actomyosin-mediated effector functions of inflammatory neutrophils (2022) · cites this paper as [40]
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Metadata
- Authors
- Zhang, L., Li, Z., Skrzypczynska, K. M., Fang, Q., Zhang, W., O’Brien, S. A., He, Y., Wang, L., Zhang, Q., Kim, A., Gao, R., Orf, J., Wang, T., Sawant, D., Kang, J., Bhatt, D., Lu, D., Li, C.-M., Rapaport, A. S., Perez, K., Ye, Y., Wang, S., Hu, X., Ren, X., Ouyang, W., Shen, Z., Egen, J. G., Zhang, Z., & Yu, X.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2020-04
- Volume
- 181
- Issue
- 2
- Pages
- 442-459.e29
- ISSN
- 0092-8674
- Cited by
- 1,526
- References
- 29
- Language
- en
- Licence
- Funders
- National Natural Science Foundation of China
- Amgen
- Key Technologies Research and Development Program
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