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Immunogenomic Landscape in Breast Cancer Reveals Immunotherapeutically Relevant Gene Signatures

Breast cancer is characterized by some types of heterogeneity, high aggressive behaviour, and low immunotherapeutic efficiency. Detailed immune stratification is a prerequisite for interpreting resistance to treatment and escape from immune control. Hence, the immune landscape of breast cancer needs...

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Autores principales: Wang, Tao, Li, Tianye, Li, Baiqing, Zhao, Jiahui, Li, Zhi, Sun, Mingyi, Li, Yan, Zhao, Yanjiao, Zhao, Shidi, He, Weiguang, Guo, Xiao, Ge, Rongjing, Wang, Lian, Ding, Dushan, Liu, Saisai, Min, Simin, Zhang, Xiaonan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8829007/
https://www.ncbi.nlm.nih.gov/pubmed/35154121
http://dx.doi.org/10.3389/fimmu.2022.805184
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author Wang, Tao
Li, Tianye
Li, Baiqing
Zhao, Jiahui
Li, Zhi
Sun, Mingyi
Li, Yan
Zhao, Yanjiao
Zhao, Shidi
He, Weiguang
Guo, Xiao
Ge, Rongjing
Wang, Lian
Ding, Dushan
Liu, Saisai
Min, Simin
Zhang, Xiaonan
author_facet Wang, Tao
Li, Tianye
Li, Baiqing
Zhao, Jiahui
Li, Zhi
Sun, Mingyi
Li, Yan
Zhao, Yanjiao
Zhao, Shidi
He, Weiguang
Guo, Xiao
Ge, Rongjing
Wang, Lian
Ding, Dushan
Liu, Saisai
Min, Simin
Zhang, Xiaonan
author_sort Wang, Tao
collection PubMed
description Breast cancer is characterized by some types of heterogeneity, high aggressive behaviour, and low immunotherapeutic efficiency. Detailed immune stratification is a prerequisite for interpreting resistance to treatment and escape from immune control. Hence, the immune landscape of breast cancer needs further understanding. We systematically clustered breast cancer into six immune subtypes based on the mRNA expression patterns of immune signatures and comprehensively depicted their characteristics. The immunotherapeutic benefit score (ITBscore) was validated to be a superior predictor of the response to immunotherapy in cohorts from various datasets. Six distinct immune subtypes related to divergences in biological functions, signatures of immune or stromal cells, extent of the adaptive immune response, genomic events, and clinical prognostication were identified. These six subtypes were characterized as immunologically quiet, chemokine dominant, lymphocyte depleted, wounding dominant, innate immune dominant, and IFN-γ dominant and exhibited features of the tumor microenvironment (TME). The high ITBscore subgroup, characterized by a high proportion of M1 macrophages:M2 macrophages, an activated inflammatory response, and increased mutational burden (such as mutations in TP53, CDH1 and CENPE), indicated better immunotherapeutic benefits. A low proportion of tumor-infiltrating lymphocytes (TILs) and an inadequate response to immune treatment were associated with the low ITBscore subgroup, which was also associated with poor survival. Analyses of four cohorts treated with immune checkpoint inhibitors (ICIs) suggested that patients with a high ITBscore received significant therapeutic advantages and clinical benefits. Our work may facilitate the understanding of immune phenotypes in shaping different TME landscapes and guide precision immuno-oncology and immunotherapy strategies.
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spelling pubmed-88290072022-02-11 Immunogenomic Landscape in Breast Cancer Reveals Immunotherapeutically Relevant Gene Signatures Wang, Tao Li, Tianye Li, Baiqing Zhao, Jiahui Li, Zhi Sun, Mingyi Li, Yan Zhao, Yanjiao Zhao, Shidi He, Weiguang Guo, Xiao Ge, Rongjing Wang, Lian Ding, Dushan Liu, Saisai Min, Simin Zhang, Xiaonan Front Immunol Immunology Breast cancer is characterized by some types of heterogeneity, high aggressive behaviour, and low immunotherapeutic efficiency. Detailed immune stratification is a prerequisite for interpreting resistance to treatment and escape from immune control. Hence, the immune landscape of breast cancer needs further understanding. We systematically clustered breast cancer into six immune subtypes based on the mRNA expression patterns of immune signatures and comprehensively depicted their characteristics. The immunotherapeutic benefit score (ITBscore) was validated to be a superior predictor of the response to immunotherapy in cohorts from various datasets. Six distinct immune subtypes related to divergences in biological functions, signatures of immune or stromal cells, extent of the adaptive immune response, genomic events, and clinical prognostication were identified. These six subtypes were characterized as immunologically quiet, chemokine dominant, lymphocyte depleted, wounding dominant, innate immune dominant, and IFN-γ dominant and exhibited features of the tumor microenvironment (TME). The high ITBscore subgroup, characterized by a high proportion of M1 macrophages:M2 macrophages, an activated inflammatory response, and increased mutational burden (such as mutations in TP53, CDH1 and CENPE), indicated better immunotherapeutic benefits. A low proportion of tumor-infiltrating lymphocytes (TILs) and an inadequate response to immune treatment were associated with the low ITBscore subgroup, which was also associated with poor survival. Analyses of four cohorts treated with immune checkpoint inhibitors (ICIs) suggested that patients with a high ITBscore received significant therapeutic advantages and clinical benefits. Our work may facilitate the understanding of immune phenotypes in shaping different TME landscapes and guide precision immuno-oncology and immunotherapy strategies. Frontiers Media S.A. 2022-01-27 /pmc/articles/PMC8829007/ /pubmed/35154121 http://dx.doi.org/10.3389/fimmu.2022.805184 Text en Copyright © 2022 Wang, Li, Li, Zhao, Li, Sun, Li, Zhao, Zhao, He, Guo, Ge, Wang, Ding, Liu, Min and Zhang https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Wang, Tao
Li, Tianye
Li, Baiqing
Zhao, Jiahui
Li, Zhi
Sun, Mingyi
Li, Yan
Zhao, Yanjiao
Zhao, Shidi
He, Weiguang
Guo, Xiao
Ge, Rongjing
Wang, Lian
Ding, Dushan
Liu, Saisai
Min, Simin
Zhang, Xiaonan
Immunogenomic Landscape in Breast Cancer Reveals Immunotherapeutically Relevant Gene Signatures
title Immunogenomic Landscape in Breast Cancer Reveals Immunotherapeutically Relevant Gene Signatures
title_full Immunogenomic Landscape in Breast Cancer Reveals Immunotherapeutically Relevant Gene Signatures
title_fullStr Immunogenomic Landscape in Breast Cancer Reveals Immunotherapeutically Relevant Gene Signatures
title_full_unstemmed Immunogenomic Landscape in Breast Cancer Reveals Immunotherapeutically Relevant Gene Signatures
title_short Immunogenomic Landscape in Breast Cancer Reveals Immunotherapeutically Relevant Gene Signatures
title_sort immunogenomic landscape in breast cancer reveals immunotherapeutically relevant gene signatures
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8829007/
https://www.ncbi.nlm.nih.gov/pubmed/35154121
http://dx.doi.org/10.3389/fimmu.2022.805184
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