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Spatial immunophenotypes predict response to anti-PD1 treatment and capture distinct paths of T cell evasion in triple negative breast cancer
Only a subgroup of triple-negative breast cancer (TNBC) responds to immune checkpoint inhibitors (ICI). To better understand lack of response to ICI, we analyze 681 TNBCs for spatial immune cell contextures in relation to clinical outcomes and pathways of T cell evasion. Excluded, ignored and inflam...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8476574/ https://www.ncbi.nlm.nih.gov/pubmed/34580291 http://dx.doi.org/10.1038/s41467-021-25962-0 |
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author | Hammerl, Dora Martens, John W. M. Timmermans, Mieke Smid, Marcel Trapman-Jansen, Anita M. Foekens, Renée Isaeva, Olga I. Voorwerk, Leonie Balcioglu, Hayri E. Wijers, Rebecca Nederlof, Iris Salgado, Roberto Horlings, Hugo Kok, Marleen Debets, Reno |
author_facet | Hammerl, Dora Martens, John W. M. Timmermans, Mieke Smid, Marcel Trapman-Jansen, Anita M. Foekens, Renée Isaeva, Olga I. Voorwerk, Leonie Balcioglu, Hayri E. Wijers, Rebecca Nederlof, Iris Salgado, Roberto Horlings, Hugo Kok, Marleen Debets, Reno |
author_sort | Hammerl, Dora |
collection | PubMed |
description | Only a subgroup of triple-negative breast cancer (TNBC) responds to immune checkpoint inhibitors (ICI). To better understand lack of response to ICI, we analyze 681 TNBCs for spatial immune cell contextures in relation to clinical outcomes and pathways of T cell evasion. Excluded, ignored and inflamed phenotypes can be captured by a gene classifier that predicts prognosis of various cancers as well as anti-PD1 response of metastatic TNBC patients in a phase II trial. The excluded phenotype, which is associated with resistance to anti-PD1, demonstrates deposits of collagen-10, enhanced glycolysis, and activation of TGFβ/VEGF pathways; the ignored phenotype, also associated with resistance to anti-PD1, shows either high density of CD163+ myeloid cells or activation of WNT/PPARγ pathways; whereas the inflamed phenotype, which is associated with response to anti-PD1, revealed necrosis, high density of CLEC9A+ dendritic cells, high TCR clonality independent of neo-antigens, and enhanced expression of T cell co-inhibitory receptors. |
format | Online Article Text |
id | pubmed-8476574 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-84765742021-10-22 Spatial immunophenotypes predict response to anti-PD1 treatment and capture distinct paths of T cell evasion in triple negative breast cancer Hammerl, Dora Martens, John W. M. Timmermans, Mieke Smid, Marcel Trapman-Jansen, Anita M. Foekens, Renée Isaeva, Olga I. Voorwerk, Leonie Balcioglu, Hayri E. Wijers, Rebecca Nederlof, Iris Salgado, Roberto Horlings, Hugo Kok, Marleen Debets, Reno Nat Commun Article Only a subgroup of triple-negative breast cancer (TNBC) responds to immune checkpoint inhibitors (ICI). To better understand lack of response to ICI, we analyze 681 TNBCs for spatial immune cell contextures in relation to clinical outcomes and pathways of T cell evasion. Excluded, ignored and inflamed phenotypes can be captured by a gene classifier that predicts prognosis of various cancers as well as anti-PD1 response of metastatic TNBC patients in a phase II trial. The excluded phenotype, which is associated with resistance to anti-PD1, demonstrates deposits of collagen-10, enhanced glycolysis, and activation of TGFβ/VEGF pathways; the ignored phenotype, also associated with resistance to anti-PD1, shows either high density of CD163+ myeloid cells or activation of WNT/PPARγ pathways; whereas the inflamed phenotype, which is associated with response to anti-PD1, revealed necrosis, high density of CLEC9A+ dendritic cells, high TCR clonality independent of neo-antigens, and enhanced expression of T cell co-inhibitory receptors. Nature Publishing Group UK 2021-09-27 /pmc/articles/PMC8476574/ /pubmed/34580291 http://dx.doi.org/10.1038/s41467-021-25962-0 Text en © The Author(s) 2021 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 Hammerl, Dora Martens, John W. M. Timmermans, Mieke Smid, Marcel Trapman-Jansen, Anita M. Foekens, Renée Isaeva, Olga I. Voorwerk, Leonie Balcioglu, Hayri E. Wijers, Rebecca Nederlof, Iris Salgado, Roberto Horlings, Hugo Kok, Marleen Debets, Reno Spatial immunophenotypes predict response to anti-PD1 treatment and capture distinct paths of T cell evasion in triple negative breast cancer |
title | Spatial immunophenotypes predict response to anti-PD1 treatment and capture distinct paths of T cell evasion in triple negative breast cancer |
title_full | Spatial immunophenotypes predict response to anti-PD1 treatment and capture distinct paths of T cell evasion in triple negative breast cancer |
title_fullStr | Spatial immunophenotypes predict response to anti-PD1 treatment and capture distinct paths of T cell evasion in triple negative breast cancer |
title_full_unstemmed | Spatial immunophenotypes predict response to anti-PD1 treatment and capture distinct paths of T cell evasion in triple negative breast cancer |
title_short | Spatial immunophenotypes predict response to anti-PD1 treatment and capture distinct paths of T cell evasion in triple negative breast cancer |
title_sort | spatial immunophenotypes predict response to anti-pd1 treatment and capture distinct paths of t cell evasion in triple negative breast cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8476574/ https://www.ncbi.nlm.nih.gov/pubmed/34580291 http://dx.doi.org/10.1038/s41467-021-25962-0 |
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