Multiplexed imaging analysis of the tumor-immune microenvironment reveals predictors of outcome in triple-negative breast cancer

Patwa, Yamashita et al. utilize multiplexed imaging to demonstrate that profiling cell-to-cell interactions in the microenvironment can reveal predictors of recurrence and overall survival in triple-negative breast cancer, especially highlighting the relevance of immunoregulatory proteins. The autho...

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Autores principales: Aalok Patwa, Rikiya Yamashita, Jin Long, Tyler Risom, Michael Angelo, Leeat Keren, Daniel L. Rubin
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/accef0e4e5044d8990a14811008e28a2
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spelling oai:doaj.org-article:accef0e4e5044d8990a14811008e28a22021-12-02T15:22:55ZMultiplexed imaging analysis of the tumor-immune microenvironment reveals predictors of outcome in triple-negative breast cancer10.1038/s42003-021-02361-12399-3642https://doaj.org/article/accef0e4e5044d8990a14811008e28a22021-07-01T00:00:00Zhttps://doi.org/10.1038/s42003-021-02361-1https://doaj.org/toc/2399-3642Patwa, Yamashita et al. utilize multiplexed imaging to demonstrate that profiling cell-to-cell interactions in the microenvironment can reveal predictors of recurrence and overall survival in triple-negative breast cancer, especially highlighting the relevance of immunoregulatory proteins. The authors also use multivariate analysis to provide additional prognostic information compared to clinical variables.Aalok PatwaRikiya YamashitaJin LongTyler RisomMichael AngeloLeeat KerenDaniel L. RubinNature PortfolioarticleBiology (General)QH301-705.5ENCommunications Biology, Vol 4, Iss 1, Pp 1-14 (2021)
institution DOAJ
collection DOAJ
language EN
topic Biology (General)
QH301-705.5
spellingShingle Biology (General)
QH301-705.5
Aalok Patwa
Rikiya Yamashita
Jin Long
Tyler Risom
Michael Angelo
Leeat Keren
Daniel L. Rubin
Multiplexed imaging analysis of the tumor-immune microenvironment reveals predictors of outcome in triple-negative breast cancer
description Patwa, Yamashita et al. utilize multiplexed imaging to demonstrate that profiling cell-to-cell interactions in the microenvironment can reveal predictors of recurrence and overall survival in triple-negative breast cancer, especially highlighting the relevance of immunoregulatory proteins. The authors also use multivariate analysis to provide additional prognostic information compared to clinical variables.
format article
author Aalok Patwa
Rikiya Yamashita
Jin Long
Tyler Risom
Michael Angelo
Leeat Keren
Daniel L. Rubin
author_facet Aalok Patwa
Rikiya Yamashita
Jin Long
Tyler Risom
Michael Angelo
Leeat Keren
Daniel L. Rubin
author_sort Aalok Patwa
title Multiplexed imaging analysis of the tumor-immune microenvironment reveals predictors of outcome in triple-negative breast cancer
title_short Multiplexed imaging analysis of the tumor-immune microenvironment reveals predictors of outcome in triple-negative breast cancer
title_full Multiplexed imaging analysis of the tumor-immune microenvironment reveals predictors of outcome in triple-negative breast cancer
title_fullStr Multiplexed imaging analysis of the tumor-immune microenvironment reveals predictors of outcome in triple-negative breast cancer
title_full_unstemmed Multiplexed imaging analysis of the tumor-immune microenvironment reveals predictors of outcome in triple-negative breast cancer
title_sort multiplexed imaging analysis of the tumor-immune microenvironment reveals predictors of outcome in triple-negative breast cancer
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/accef0e4e5044d8990a14811008e28a2
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