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Distinct spatial immune microlandscapes are independently associated with outcomes in triple-negative breast cancer
The utility of spatial immunobiomarker quantitation in prognostication and therapeutic prediction is actively being investigated in triple-negative breast cancer (TNBC). Here, with high-plex quantitative digital spatial profiling, we map and quantitate intraepithelial and adjacent stromal tumor immu...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10113250/ https://www.ncbi.nlm.nih.gov/pubmed/37072398 http://dx.doi.org/10.1038/s41467-023-37806-0 |
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author | Carter, Jodi M. Chumsri, Saranya Hinerfeld, Douglas A. Ma, Yaohua Wang, Xue Zahrieh, David Hillman, David W. Tenner, Kathleen S. Kachergus, Jennifer M. Brauer, Heather Ann Warren, Sarah E. Henderson, David Shi, Ji Liu, Yi Joensuu, Heikki Lindman, Henrik Leon-Ferre, Roberto A. Boughey, Judy C. Liu, Minetta C. Ingle, James N. Kalari, Krishna R. Couch, Fergus J. Knutson, Keith L. Goetz, Matthew P. Perez, Edith A. Thompson, E. Aubrey |
author_facet | Carter, Jodi M. Chumsri, Saranya Hinerfeld, Douglas A. Ma, Yaohua Wang, Xue Zahrieh, David Hillman, David W. Tenner, Kathleen S. Kachergus, Jennifer M. Brauer, Heather Ann Warren, Sarah E. Henderson, David Shi, Ji Liu, Yi Joensuu, Heikki Lindman, Henrik Leon-Ferre, Roberto A. Boughey, Judy C. Liu, Minetta C. Ingle, James N. Kalari, Krishna R. Couch, Fergus J. Knutson, Keith L. Goetz, Matthew P. Perez, Edith A. Thompson, E. Aubrey |
author_sort | Carter, Jodi M. |
collection | PubMed |
description | The utility of spatial immunobiomarker quantitation in prognostication and therapeutic prediction is actively being investigated in triple-negative breast cancer (TNBC). Here, with high-plex quantitative digital spatial profiling, we map and quantitate intraepithelial and adjacent stromal tumor immune protein microenvironments in systemic treatment-naïve (female only) TNBC to assess the spatial context in immunobiomarker-based prediction of outcome. Immune protein profiles of CD45-rich and CD68-rich stromal microenvironments differ significantly. While they typically mirror adjacent, intraepithelial microenvironments, this is not uniformly true. In two TNBC cohorts, intraepithelial CD40 or HLA-DR enrichment associates with better outcomes, independently of stromal immune protein profiles or stromal TILs and other established prognostic variables. In contrast, intraepithelial or stromal microenvironment enrichment with IDO1 associates with improved survival irrespective of its spatial location. Antigen-presenting and T-cell activation states are inferred from eigenprotein scores. Such scores within the intraepithelial compartment interact with PD-L1 and IDO1 in ways that suggest prognostic and/or therapeutic potential. This characterization of the intrinsic spatial immunobiology of treatment-naïve TNBC highlights the importance of spatial microenvironments for biomarker quantitation to resolve intrinsic prognostic and predictive immune features and ultimately inform therapeutic strategies for clinically actionable immune biomarkers. |
format | Online Article Text |
id | pubmed-10113250 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101132502023-04-20 Distinct spatial immune microlandscapes are independently associated with outcomes in triple-negative breast cancer Carter, Jodi M. Chumsri, Saranya Hinerfeld, Douglas A. Ma, Yaohua Wang, Xue Zahrieh, David Hillman, David W. Tenner, Kathleen S. Kachergus, Jennifer M. Brauer, Heather Ann Warren, Sarah E. Henderson, David Shi, Ji Liu, Yi Joensuu, Heikki Lindman, Henrik Leon-Ferre, Roberto A. Boughey, Judy C. Liu, Minetta C. Ingle, James N. Kalari, Krishna R. Couch, Fergus J. Knutson, Keith L. Goetz, Matthew P. Perez, Edith A. Thompson, E. Aubrey Nat Commun Article The utility of spatial immunobiomarker quantitation in prognostication and therapeutic prediction is actively being investigated in triple-negative breast cancer (TNBC). Here, with high-plex quantitative digital spatial profiling, we map and quantitate intraepithelial and adjacent stromal tumor immune protein microenvironments in systemic treatment-naïve (female only) TNBC to assess the spatial context in immunobiomarker-based prediction of outcome. Immune protein profiles of CD45-rich and CD68-rich stromal microenvironments differ significantly. While they typically mirror adjacent, intraepithelial microenvironments, this is not uniformly true. In two TNBC cohorts, intraepithelial CD40 or HLA-DR enrichment associates with better outcomes, independently of stromal immune protein profiles or stromal TILs and other established prognostic variables. In contrast, intraepithelial or stromal microenvironment enrichment with IDO1 associates with improved survival irrespective of its spatial location. Antigen-presenting and T-cell activation states are inferred from eigenprotein scores. Such scores within the intraepithelial compartment interact with PD-L1 and IDO1 in ways that suggest prognostic and/or therapeutic potential. This characterization of the intrinsic spatial immunobiology of treatment-naïve TNBC highlights the importance of spatial microenvironments for biomarker quantitation to resolve intrinsic prognostic and predictive immune features and ultimately inform therapeutic strategies for clinically actionable immune biomarkers. Nature Publishing Group UK 2023-04-18 /pmc/articles/PMC10113250/ /pubmed/37072398 http://dx.doi.org/10.1038/s41467-023-37806-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Carter, Jodi M. Chumsri, Saranya Hinerfeld, Douglas A. Ma, Yaohua Wang, Xue Zahrieh, David Hillman, David W. Tenner, Kathleen S. Kachergus, Jennifer M. Brauer, Heather Ann Warren, Sarah E. Henderson, David Shi, Ji Liu, Yi Joensuu, Heikki Lindman, Henrik Leon-Ferre, Roberto A. Boughey, Judy C. Liu, Minetta C. Ingle, James N. Kalari, Krishna R. Couch, Fergus J. Knutson, Keith L. Goetz, Matthew P. Perez, Edith A. Thompson, E. Aubrey Distinct spatial immune microlandscapes are independently associated with outcomes in triple-negative breast cancer |
title | Distinct spatial immune microlandscapes are independently associated with outcomes in triple-negative breast cancer |
title_full | Distinct spatial immune microlandscapes are independently associated with outcomes in triple-negative breast cancer |
title_fullStr | Distinct spatial immune microlandscapes are independently associated with outcomes in triple-negative breast cancer |
title_full_unstemmed | Distinct spatial immune microlandscapes are independently associated with outcomes in triple-negative breast cancer |
title_short | Distinct spatial immune microlandscapes are independently associated with outcomes in triple-negative breast cancer |
title_sort | distinct spatial immune microlandscapes are independently associated with outcomes in triple-negative breast cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10113250/ https://www.ncbi.nlm.nih.gov/pubmed/37072398 http://dx.doi.org/10.1038/s41467-023-37806-0 |
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