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Spatial predictors of immunotherapy response in triple-negative breast cancer
Immune checkpoint blockade (ICB) benefits some patients with triple-negative breast cancer, but what distinguishes responders from non-responders is unclear(1). Because ICB targets cell–cell interactions(2), we investigated the impact of multicellular spatial organization on response, and explored h...
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/PMC10533410/ https://www.ncbi.nlm.nih.gov/pubmed/37674077 http://dx.doi.org/10.1038/s41586-023-06498-3 |
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author | Wang, Xiao Qian Danenberg, Esther Huang, Chiun-Sheng Egle, Daniel Callari, Maurizio Bermejo, Begoña Dugo, Matteo Zamagni, Claudio Thill, Marc Anton, Anton Zambelli, Stefania Russo, Stefania Ciruelos, Eva Maria Greil, Richard Győrffy, Balázs Semiglazov, Vladimir Colleoni, Marco Kelly, Catherine M. Mariani, Gabriella Del Mastro, Lucia Biasi, Olivia Seitz, Robert S. Valagussa, Pinuccia Viale, Giuseppe Gianni, Luca Bianchini, Giampaolo Ali, H. Raza |
author_facet | Wang, Xiao Qian Danenberg, Esther Huang, Chiun-Sheng Egle, Daniel Callari, Maurizio Bermejo, Begoña Dugo, Matteo Zamagni, Claudio Thill, Marc Anton, Anton Zambelli, Stefania Russo, Stefania Ciruelos, Eva Maria Greil, Richard Győrffy, Balázs Semiglazov, Vladimir Colleoni, Marco Kelly, Catherine M. Mariani, Gabriella Del Mastro, Lucia Biasi, Olivia Seitz, Robert S. Valagussa, Pinuccia Viale, Giuseppe Gianni, Luca Bianchini, Giampaolo Ali, H. Raza |
author_sort | Wang, Xiao Qian |
collection | PubMed |
description | Immune checkpoint blockade (ICB) benefits some patients with triple-negative breast cancer, but what distinguishes responders from non-responders is unclear(1). Because ICB targets cell–cell interactions(2), we investigated the impact of multicellular spatial organization on response, and explored how ICB remodels the tumour microenvironment. We show that cell phenotype, activation state and spatial location are intimately linked, influence ICB effect and differ in sensitive versus resistant tumours early on-treatment. We used imaging mass cytometry(3) to profile the in situ expression of 43 proteins in tumours from patients in a randomized trial of neoadjuvant ICB, sampled at three timepoints (baseline, n = 243; early on-treatment, n = 207; post-treatment, n = 210). Multivariate modelling showed that the fractions of proliferating CD8(+)TCF1(+)T cells and MHCII(+) cancer cells were dominant predictors of response, followed by cancer–immune interactions with B cells and granzyme B(+) T cells. On-treatment, responsive tumours contained abundant granzyme B(+) T cells, whereas resistant tumours were characterized by CD15(+) cancer cells. Response was best predicted by combining tissue features before and on-treatment, pointing to a role for early biopsies in guiding adaptive therapy. Our findings show that multicellular spatial organization is a major determinant of ICB effect and suggest that its systematic enumeration in situ could help realize precision immuno-oncology. |
format | Online Article Text |
id | pubmed-10533410 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-105334102023-09-29 Spatial predictors of immunotherapy response in triple-negative breast cancer Wang, Xiao Qian Danenberg, Esther Huang, Chiun-Sheng Egle, Daniel Callari, Maurizio Bermejo, Begoña Dugo, Matteo Zamagni, Claudio Thill, Marc Anton, Anton Zambelli, Stefania Russo, Stefania Ciruelos, Eva Maria Greil, Richard Győrffy, Balázs Semiglazov, Vladimir Colleoni, Marco Kelly, Catherine M. Mariani, Gabriella Del Mastro, Lucia Biasi, Olivia Seitz, Robert S. Valagussa, Pinuccia Viale, Giuseppe Gianni, Luca Bianchini, Giampaolo Ali, H. Raza Nature Article Immune checkpoint blockade (ICB) benefits some patients with triple-negative breast cancer, but what distinguishes responders from non-responders is unclear(1). Because ICB targets cell–cell interactions(2), we investigated the impact of multicellular spatial organization on response, and explored how ICB remodels the tumour microenvironment. We show that cell phenotype, activation state and spatial location are intimately linked, influence ICB effect and differ in sensitive versus resistant tumours early on-treatment. We used imaging mass cytometry(3) to profile the in situ expression of 43 proteins in tumours from patients in a randomized trial of neoadjuvant ICB, sampled at three timepoints (baseline, n = 243; early on-treatment, n = 207; post-treatment, n = 210). Multivariate modelling showed that the fractions of proliferating CD8(+)TCF1(+)T cells and MHCII(+) cancer cells were dominant predictors of response, followed by cancer–immune interactions with B cells and granzyme B(+) T cells. On-treatment, responsive tumours contained abundant granzyme B(+) T cells, whereas resistant tumours were characterized by CD15(+) cancer cells. Response was best predicted by combining tissue features before and on-treatment, pointing to a role for early biopsies in guiding adaptive therapy. Our findings show that multicellular spatial organization is a major determinant of ICB effect and suggest that its systematic enumeration in situ could help realize precision immuno-oncology. Nature Publishing Group UK 2023-09-06 2023 /pmc/articles/PMC10533410/ /pubmed/37674077 http://dx.doi.org/10.1038/s41586-023-06498-3 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Wang, Xiao Qian Danenberg, Esther Huang, Chiun-Sheng Egle, Daniel Callari, Maurizio Bermejo, Begoña Dugo, Matteo Zamagni, Claudio Thill, Marc Anton, Anton Zambelli, Stefania Russo, Stefania Ciruelos, Eva Maria Greil, Richard Győrffy, Balázs Semiglazov, Vladimir Colleoni, Marco Kelly, Catherine M. Mariani, Gabriella Del Mastro, Lucia Biasi, Olivia Seitz, Robert S. Valagussa, Pinuccia Viale, Giuseppe Gianni, Luca Bianchini, Giampaolo Ali, H. Raza Spatial predictors of immunotherapy response in triple-negative breast cancer |
title | Spatial predictors of immunotherapy response in triple-negative breast cancer |
title_full | Spatial predictors of immunotherapy response in triple-negative breast cancer |
title_fullStr | Spatial predictors of immunotherapy response in triple-negative breast cancer |
title_full_unstemmed | Spatial predictors of immunotherapy response in triple-negative breast cancer |
title_short | Spatial predictors of immunotherapy response in triple-negative breast cancer |
title_sort | spatial predictors of immunotherapy response in triple-negative breast cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10533410/ https://www.ncbi.nlm.nih.gov/pubmed/37674077 http://dx.doi.org/10.1038/s41586-023-06498-3 |
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