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Identifying tumour microenvironment-related signature that correlates with prognosis and immunotherapy response in breast cancer

Tumor microenvironment (TME) plays important roles in prognosis and immune evasion. However, the relationship between TME-related genes and clinical prognosis, immune cell infiltration, and immunotherapy response in breast cancer (BRCA) remains unclear. This study described the TME pattern to constr...

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Autores principales: Zhao, Hongying, Yin, Xiangzhe, Wang, Lixia, Liu, Kailai, Liu, Wangyang, Bo, Lin, Wang, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9984471/
https://www.ncbi.nlm.nih.gov/pubmed/36869083
http://dx.doi.org/10.1038/s41597-023-02032-2
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author Zhao, Hongying
Yin, Xiangzhe
Wang, Lixia
Liu, Kailai
Liu, Wangyang
Bo, Lin
Wang, Li
author_facet Zhao, Hongying
Yin, Xiangzhe
Wang, Lixia
Liu, Kailai
Liu, Wangyang
Bo, Lin
Wang, Li
author_sort Zhao, Hongying
collection PubMed
description Tumor microenvironment (TME) plays important roles in prognosis and immune evasion. However, the relationship between TME-related genes and clinical prognosis, immune cell infiltration, and immunotherapy response in breast cancer (BRCA) remains unclear. This study described the TME pattern to construct a TME-related prognosis signature, including risk factors PXDNL, LINC02038 and protective factors SLC27A2, KLRB1, IGHV1-12 and IGKV1OR2-108, as an independent prognostic factor for BRCA. We found that the prognosis signature was negatively correlated with the survival time of BRCA patients, infiltration of immune cells and the expression of immune checkpoints, while positively correlated with tumor mutation burden and adverse treatment effects of immunotherapy. Upregulation of PXDNL and LINC02038 and downregulation of SLC27A2, KLRB1, IGHV1-12 and IGKV1OR2-108 in high-risk score group synergistically contribute to immunosuppressive microenvironment which characterized by immunosuppressive neutrophils, impaired cytotoxic T lymphocytes migration and natural killer cell cytotoxicity. In summary, we identified a TME-related prognostic signature in BRCA, which was connected with immune cell infiltration, immune checkpoints, immunotherapy response and could be developed for immunotherapy targets.
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spelling pubmed-99844712023-03-05 Identifying tumour microenvironment-related signature that correlates with prognosis and immunotherapy response in breast cancer Zhao, Hongying Yin, Xiangzhe Wang, Lixia Liu, Kailai Liu, Wangyang Bo, Lin Wang, Li Sci Data Analysis Tumor microenvironment (TME) plays important roles in prognosis and immune evasion. However, the relationship between TME-related genes and clinical prognosis, immune cell infiltration, and immunotherapy response in breast cancer (BRCA) remains unclear. This study described the TME pattern to construct a TME-related prognosis signature, including risk factors PXDNL, LINC02038 and protective factors SLC27A2, KLRB1, IGHV1-12 and IGKV1OR2-108, as an independent prognostic factor for BRCA. We found that the prognosis signature was negatively correlated with the survival time of BRCA patients, infiltration of immune cells and the expression of immune checkpoints, while positively correlated with tumor mutation burden and adverse treatment effects of immunotherapy. Upregulation of PXDNL and LINC02038 and downregulation of SLC27A2, KLRB1, IGHV1-12 and IGKV1OR2-108 in high-risk score group synergistically contribute to immunosuppressive microenvironment which characterized by immunosuppressive neutrophils, impaired cytotoxic T lymphocytes migration and natural killer cell cytotoxicity. In summary, we identified a TME-related prognostic signature in BRCA, which was connected with immune cell infiltration, immune checkpoints, immunotherapy response and could be developed for immunotherapy targets. Nature Publishing Group UK 2023-03-03 /pmc/articles/PMC9984471/ /pubmed/36869083 http://dx.doi.org/10.1038/s41597-023-02032-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Analysis
Zhao, Hongying
Yin, Xiangzhe
Wang, Lixia
Liu, Kailai
Liu, Wangyang
Bo, Lin
Wang, Li
Identifying tumour microenvironment-related signature that correlates with prognosis and immunotherapy response in breast cancer
title Identifying tumour microenvironment-related signature that correlates with prognosis and immunotherapy response in breast cancer
title_full Identifying tumour microenvironment-related signature that correlates with prognosis and immunotherapy response in breast cancer
title_fullStr Identifying tumour microenvironment-related signature that correlates with prognosis and immunotherapy response in breast cancer
title_full_unstemmed Identifying tumour microenvironment-related signature that correlates with prognosis and immunotherapy response in breast cancer
title_short Identifying tumour microenvironment-related signature that correlates with prognosis and immunotherapy response in breast cancer
title_sort identifying tumour microenvironment-related signature that correlates with prognosis and immunotherapy response in breast cancer
topic Analysis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9984471/
https://www.ncbi.nlm.nih.gov/pubmed/36869083
http://dx.doi.org/10.1038/s41597-023-02032-2
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