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Breast Cancer Macrophage Heterogeneity and Self-renewal are Determined by Spatial Localization

Tumor-infiltrating macrophages support critical steps in tumor progression, and their accumulation in the tumor microenvironment (TME) is associated with adverse outcomes and therapeutic resistance across human cancers. In the TME, macrophages adopt diverse phenotypic alterations, giving rise to het...

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Autores principales: Ben-Chetrit, Nir, Niu, Xiang, Sotelo, Jesus, Swett, Ariel D., Rajasekhar, Vinagolu K., Jiao, Maria S., Stewart, Caitlin M., Bhardwaj, Priya, Kottapalli, Sanjay, Ganesan, Saravanan, Loyher, Pierre-Louis, Potenski, Catherine, Hannuna, Assaf, Brown, Kristy A., Iyengar, Neil M., Giri, Dilip D., Lowe, Scott W., Healey, John H., Geissmann, Frederic, Sagi, Irit, Joyce, Johanna A., Landau, Dan A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10634790/
https://www.ncbi.nlm.nih.gov/pubmed/37961223
http://dx.doi.org/10.1101/2023.10.24.563749
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author Ben-Chetrit, Nir
Niu, Xiang
Sotelo, Jesus
Swett, Ariel D.
Rajasekhar, Vinagolu K.
Jiao, Maria S.
Stewart, Caitlin M.
Bhardwaj, Priya
Kottapalli, Sanjay
Ganesan, Saravanan
Loyher, Pierre-Louis
Potenski, Catherine
Hannuna, Assaf
Brown, Kristy A.
Iyengar, Neil M.
Giri, Dilip D.
Lowe, Scott W.
Healey, John H.
Geissmann, Frederic
Sagi, Irit
Joyce, Johanna A.
Landau, Dan A.
author_facet Ben-Chetrit, Nir
Niu, Xiang
Sotelo, Jesus
Swett, Ariel D.
Rajasekhar, Vinagolu K.
Jiao, Maria S.
Stewart, Caitlin M.
Bhardwaj, Priya
Kottapalli, Sanjay
Ganesan, Saravanan
Loyher, Pierre-Louis
Potenski, Catherine
Hannuna, Assaf
Brown, Kristy A.
Iyengar, Neil M.
Giri, Dilip D.
Lowe, Scott W.
Healey, John H.
Geissmann, Frederic
Sagi, Irit
Joyce, Johanna A.
Landau, Dan A.
author_sort Ben-Chetrit, Nir
collection PubMed
description Tumor-infiltrating macrophages support critical steps in tumor progression, and their accumulation in the tumor microenvironment (TME) is associated with adverse outcomes and therapeutic resistance across human cancers. In the TME, macrophages adopt diverse phenotypic alterations, giving rise to heterogeneous immune activation states and induction of cell cycle. While the transcriptional profiles of these activation states are well-annotated across human cancers, the underlying signals that regulate macrophage heterogeneity and accumulation remain incompletely understood. Here, we leveraged a novel ex vivo organotypic TME (oTME) model of breast cancer, in vivo murine models, and human samples to map the determinants of functional heterogeneity of TME macrophages. We identified a subset of F4/80(high)Sca-1+ self-renewing macrophages maintained by type-I interferon (IFN) signaling and requiring physical contact with cancer-associated fibroblasts. We discovered that the contact-dependent self-renewal of TME macrophages is mediated via Notch4, and its inhibition abrogated tumor growth of breast and ovarian carcinomas in vivo, as well as lung dissemination in a PDX model of triple-negative breast cancer (TNBC). Through spatial multi-omic profiling of protein markers and transcriptomes, we found that the localization of macrophages further dictates functionally distinct but reversible phenotypes, regardless of their ontogeny. Whereas immune-stimulatory macrophages (CD11C+CD86+) populated the tumor epithelial nests, the stroma-associated macrophages (SAMs) were proliferative, immunosuppressive (Sca-1+CD206+PD-L1+), resistant to CSF-1R depletion, and associated with worse patient outcomes. Notably, following cessation of CSF-1R depletion, macrophages rebounded primarily to the SAM phenotype, which was associated with accelerated growth of mammary tumors. Our work reveals the spatial determinants of macrophage heterogeneity in breast cancer and highlights the disruption of macrophage self-renewal as a potential new therapeutic strategy.
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spelling pubmed-106347902023-11-13 Breast Cancer Macrophage Heterogeneity and Self-renewal are Determined by Spatial Localization Ben-Chetrit, Nir Niu, Xiang Sotelo, Jesus Swett, Ariel D. Rajasekhar, Vinagolu K. Jiao, Maria S. Stewart, Caitlin M. Bhardwaj, Priya Kottapalli, Sanjay Ganesan, Saravanan Loyher, Pierre-Louis Potenski, Catherine Hannuna, Assaf Brown, Kristy A. Iyengar, Neil M. Giri, Dilip D. Lowe, Scott W. Healey, John H. Geissmann, Frederic Sagi, Irit Joyce, Johanna A. Landau, Dan A. bioRxiv Article Tumor-infiltrating macrophages support critical steps in tumor progression, and their accumulation in the tumor microenvironment (TME) is associated with adverse outcomes and therapeutic resistance across human cancers. In the TME, macrophages adopt diverse phenotypic alterations, giving rise to heterogeneous immune activation states and induction of cell cycle. While the transcriptional profiles of these activation states are well-annotated across human cancers, the underlying signals that regulate macrophage heterogeneity and accumulation remain incompletely understood. Here, we leveraged a novel ex vivo organotypic TME (oTME) model of breast cancer, in vivo murine models, and human samples to map the determinants of functional heterogeneity of TME macrophages. We identified a subset of F4/80(high)Sca-1+ self-renewing macrophages maintained by type-I interferon (IFN) signaling and requiring physical contact with cancer-associated fibroblasts. We discovered that the contact-dependent self-renewal of TME macrophages is mediated via Notch4, and its inhibition abrogated tumor growth of breast and ovarian carcinomas in vivo, as well as lung dissemination in a PDX model of triple-negative breast cancer (TNBC). Through spatial multi-omic profiling of protein markers and transcriptomes, we found that the localization of macrophages further dictates functionally distinct but reversible phenotypes, regardless of their ontogeny. Whereas immune-stimulatory macrophages (CD11C+CD86+) populated the tumor epithelial nests, the stroma-associated macrophages (SAMs) were proliferative, immunosuppressive (Sca-1+CD206+PD-L1+), resistant to CSF-1R depletion, and associated with worse patient outcomes. Notably, following cessation of CSF-1R depletion, macrophages rebounded primarily to the SAM phenotype, which was associated with accelerated growth of mammary tumors. Our work reveals the spatial determinants of macrophage heterogeneity in breast cancer and highlights the disruption of macrophage self-renewal as a potential new therapeutic strategy. Cold Spring Harbor Laboratory 2023-10-27 /pmc/articles/PMC10634790/ /pubmed/37961223 http://dx.doi.org/10.1101/2023.10.24.563749 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Ben-Chetrit, Nir
Niu, Xiang
Sotelo, Jesus
Swett, Ariel D.
Rajasekhar, Vinagolu K.
Jiao, Maria S.
Stewart, Caitlin M.
Bhardwaj, Priya
Kottapalli, Sanjay
Ganesan, Saravanan
Loyher, Pierre-Louis
Potenski, Catherine
Hannuna, Assaf
Brown, Kristy A.
Iyengar, Neil M.
Giri, Dilip D.
Lowe, Scott W.
Healey, John H.
Geissmann, Frederic
Sagi, Irit
Joyce, Johanna A.
Landau, Dan A.
Breast Cancer Macrophage Heterogeneity and Self-renewal are Determined by Spatial Localization
title Breast Cancer Macrophage Heterogeneity and Self-renewal are Determined by Spatial Localization
title_full Breast Cancer Macrophage Heterogeneity and Self-renewal are Determined by Spatial Localization
title_fullStr Breast Cancer Macrophage Heterogeneity and Self-renewal are Determined by Spatial Localization
title_full_unstemmed Breast Cancer Macrophage Heterogeneity and Self-renewal are Determined by Spatial Localization
title_short Breast Cancer Macrophage Heterogeneity and Self-renewal are Determined by Spatial Localization
title_sort breast cancer macrophage heterogeneity and self-renewal are determined by spatial localization
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10634790/
https://www.ncbi.nlm.nih.gov/pubmed/37961223
http://dx.doi.org/10.1101/2023.10.24.563749
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