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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Nature Portfolio
2021
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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) |
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DOAJ |
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Biology (General) QH301-705.5 |
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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 |
work_keys_str_mv |
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1718387397447647232 |