4.7 Article

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

Journal

COMMUNICATIONS BIOLOGY
Volume 4, Issue 1, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s42003-021-02361-1

Keywords

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Funding

  1. Stanford Departments of Pathology and Biomedical Data Science through a Stanford Clinical Data Science Fellowship

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The study utilizes high-dimensional tissue imaging technology to analyze the tumor-immune microenvironment in triple-negative breast cancer patients, revealing that profiling cell-to-cell interactions in the microenvironment can predict recurrence and overall survival, especially highlighting the importance of immunoregulatory proteins.
Triple-negative breast cancer, the poorest-prognosis breast cancer subtype, lacks clinically approved biomarkers for patient risk stratification and treatment management. Prior literature has shown that interrogation of the tumor-immune microenvironment may be a promising approach to fill these gaps. Recently developed high-dimensional tissue imaging technology, such as multiplexed ion beam imaging, provide spatial context to protein expression in the microenvironment, allowing in-depth characterization of cellular processes. We demonstrate that profiling the functional proteins involved in cell-to-cell interactions in the microenvironment can predict recurrence and overall survival. We highlight the immunological relevance of the immunoregulatory proteins PD-1, PD-L1, IDO, and Lag3 by tying interactions involving them to recurrence and survival. Multivariate analysis reveals that our methods provide additional prognostic information compared to clinical variables. In this work, we present a computational pipeline for the examination of the tumor-immune microenvironment using multiplexed ion beam imaging that produces interpretable results, and is generalizable to other cancer types. 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.

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