Spatial immunophenotypes predict response to anti-PD1 treatment and capture distinct paths of T cell evasion in triple negative breast cancer

Only a subset of triple negative breast cancer patients respond to immunotherapy. Here, the authors analysed spatial immune contextures, which can be captured by a gene classifier, in relation to genomic alterations, mechanisms of T cell evasion and response to anti-PD1 treatment.

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Autores principales: Dora Hammerl, John W. M. Martens, Mieke Timmermans, Marcel Smid, Anita M. Trapman-Jansen, Renée Foekens, Olga I. Isaeva, Leonie Voorwerk, Hayri E. Balcioglu, Rebecca Wijers, Iris Nederlof, Roberto Salgado, Hugo Horlings, Marleen Kok, Reno Debets
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/c987387dc5c94a1b93ac3cb4c523d2fd
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spelling oai:doaj.org-article:c987387dc5c94a1b93ac3cb4c523d2fd2021-12-02T17:37:41ZSpatial immunophenotypes predict response to anti-PD1 treatment and capture distinct paths of T cell evasion in triple negative breast cancer10.1038/s41467-021-25962-02041-1723https://doaj.org/article/c987387dc5c94a1b93ac3cb4c523d2fd2021-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-25962-0https://doaj.org/toc/2041-1723Only a subset of triple negative breast cancer patients respond to immunotherapy. Here, the authors analysed spatial immune contextures, which can be captured by a gene classifier, in relation to genomic alterations, mechanisms of T cell evasion and response to anti-PD1 treatment.Dora HammerlJohn W. M. MartensMieke TimmermansMarcel SmidAnita M. Trapman-JansenRenée FoekensOlga I. IsaevaLeonie VoorwerkHayri E. BalciogluRebecca WijersIris NederlofRoberto SalgadoHugo HorlingsMarleen KokReno DebetsNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Dora Hammerl
John W. M. Martens
Mieke Timmermans
Marcel Smid
Anita M. Trapman-Jansen
Renée Foekens
Olga I. Isaeva
Leonie Voorwerk
Hayri E. Balcioglu
Rebecca Wijers
Iris Nederlof
Roberto Salgado
Hugo Horlings
Marleen Kok
Reno Debets
Spatial immunophenotypes predict response to anti-PD1 treatment and capture distinct paths of T cell evasion in triple negative breast cancer
description Only a subset of triple negative breast cancer patients respond to immunotherapy. Here, the authors analysed spatial immune contextures, which can be captured by a gene classifier, in relation to genomic alterations, mechanisms of T cell evasion and response to anti-PD1 treatment.
format article
author Dora Hammerl
John W. M. Martens
Mieke Timmermans
Marcel Smid
Anita M. Trapman-Jansen
Renée Foekens
Olga I. Isaeva
Leonie Voorwerk
Hayri E. Balcioglu
Rebecca Wijers
Iris Nederlof
Roberto Salgado
Hugo Horlings
Marleen Kok
Reno Debets
author_facet Dora Hammerl
John W. M. Martens
Mieke Timmermans
Marcel Smid
Anita M. Trapman-Jansen
Renée Foekens
Olga I. Isaeva
Leonie Voorwerk
Hayri E. Balcioglu
Rebecca Wijers
Iris Nederlof
Roberto Salgado
Hugo Horlings
Marleen Kok
Reno Debets
author_sort Dora Hammerl
title 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_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_sort spatial immunophenotypes predict response to anti-pd1 treatment and capture distinct paths of t cell evasion in triple negative breast cancer
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/c987387dc5c94a1b93ac3cb4c523d2fd
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