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The prognostic value and response to immunotherapy of immunogenic cell death-associated genes in breast cancer
Breast cancer (BRCA) remains the most prevalent cancer worldwide and the tumor microenvironment (TME) has been discovered to exert a wide influence on the overall survival and therapeutic response. Numerous lines of evidence reported that the effects of immunotherapy of BRCA were manipulated by TME....
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9948621/ https://www.ncbi.nlm.nih.gov/pubmed/36845750 http://dx.doi.org/10.3389/fonc.2023.1047973 |
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author | Zhao, Rongling Wang, Wenkang Pan, Limin Lv, Xuefeng He, Yi Lian, Wenping Ma, Yajie Zhang, Xinyu Yu, Ruijing Zhao, Shuai Guo, Xiaona Huang, Tao Peng, Mengle |
author_facet | Zhao, Rongling Wang, Wenkang Pan, Limin Lv, Xuefeng He, Yi Lian, Wenping Ma, Yajie Zhang, Xinyu Yu, Ruijing Zhao, Shuai Guo, Xiaona Huang, Tao Peng, Mengle |
author_sort | Zhao, Rongling |
collection | PubMed |
description | Breast cancer (BRCA) remains the most prevalent cancer worldwide and the tumor microenvironment (TME) has been discovered to exert a wide influence on the overall survival and therapeutic response. Numerous lines of evidence reported that the effects of immunotherapy of BRCA were manipulated by TME. Immunogenic cell death (ICD) is a form of regulated cell death (RCD) that is capable of fueling adaptive immune responses and aberrant expression of ICD-related genes (ICDRGs) can govern the TME system by emitting danger signals or damage-associated molecular patterns (DAMPs). In the current study, we obtained 34 key ICDRGs in BRCA. Subsequently, using the transcriptome data of BRCA from the TCGA database, we constructed a risk signature based on 6 vital ICDRGs, which had a good performance in predicting the overall survival of BRCA patients. We also examined the efficacy of our risk signature in the validation dataset (GSE20711) in the GEO database and it performed excellently. According to the risk model, patients with BRCA were divided into high-risk and low-risk groups. Also, the unique immune characteristics and TME between the two subgroups and 10 promising small molecule drugs targeting BRCA patients with different ICDRGs risk have been investigated. The low-risk group had good immunity indicated by T cell infiltration and high immune checkpoint expression. Moreover, the BRCA samples could be divided into three immune subtypes according to immune response severity (ISA, ISB, and ISC). ISA and ISB predominated in the low-risk group and patients in the low-risk group exhibited a more vigorous immune response. In conclusion, we developed an ICDRGs-based risk signature that can predict the prognosis of BRCA patients and offer a novel therapeutic strategy for immunotherapy, which would be of great significance in the BRCA clinical setting. |
format | Online Article Text |
id | pubmed-9948621 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99486212023-02-24 The prognostic value and response to immunotherapy of immunogenic cell death-associated genes in breast cancer Zhao, Rongling Wang, Wenkang Pan, Limin Lv, Xuefeng He, Yi Lian, Wenping Ma, Yajie Zhang, Xinyu Yu, Ruijing Zhao, Shuai Guo, Xiaona Huang, Tao Peng, Mengle Front Oncol Oncology Breast cancer (BRCA) remains the most prevalent cancer worldwide and the tumor microenvironment (TME) has been discovered to exert a wide influence on the overall survival and therapeutic response. Numerous lines of evidence reported that the effects of immunotherapy of BRCA were manipulated by TME. Immunogenic cell death (ICD) is a form of regulated cell death (RCD) that is capable of fueling adaptive immune responses and aberrant expression of ICD-related genes (ICDRGs) can govern the TME system by emitting danger signals or damage-associated molecular patterns (DAMPs). In the current study, we obtained 34 key ICDRGs in BRCA. Subsequently, using the transcriptome data of BRCA from the TCGA database, we constructed a risk signature based on 6 vital ICDRGs, which had a good performance in predicting the overall survival of BRCA patients. We also examined the efficacy of our risk signature in the validation dataset (GSE20711) in the GEO database and it performed excellently. According to the risk model, patients with BRCA were divided into high-risk and low-risk groups. Also, the unique immune characteristics and TME between the two subgroups and 10 promising small molecule drugs targeting BRCA patients with different ICDRGs risk have been investigated. The low-risk group had good immunity indicated by T cell infiltration and high immune checkpoint expression. Moreover, the BRCA samples could be divided into three immune subtypes according to immune response severity (ISA, ISB, and ISC). ISA and ISB predominated in the low-risk group and patients in the low-risk group exhibited a more vigorous immune response. In conclusion, we developed an ICDRGs-based risk signature that can predict the prognosis of BRCA patients and offer a novel therapeutic strategy for immunotherapy, which would be of great significance in the BRCA clinical setting. Frontiers Media S.A. 2023-02-09 /pmc/articles/PMC9948621/ /pubmed/36845750 http://dx.doi.org/10.3389/fonc.2023.1047973 Text en Copyright © 2023 Zhao, Wang, Pan, Lv, He, Lian, Ma, Zhang, Yu, Zhao, Guo, Huang and Peng 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 | Oncology Zhao, Rongling Wang, Wenkang Pan, Limin Lv, Xuefeng He, Yi Lian, Wenping Ma, Yajie Zhang, Xinyu Yu, Ruijing Zhao, Shuai Guo, Xiaona Huang, Tao Peng, Mengle The prognostic value and response to immunotherapy of immunogenic cell death-associated genes in breast cancer |
title | The prognostic value and response to immunotherapy of immunogenic cell death-associated genes in breast cancer |
title_full | The prognostic value and response to immunotherapy of immunogenic cell death-associated genes in breast cancer |
title_fullStr | The prognostic value and response to immunotherapy of immunogenic cell death-associated genes in breast cancer |
title_full_unstemmed | The prognostic value and response to immunotherapy of immunogenic cell death-associated genes in breast cancer |
title_short | The prognostic value and response to immunotherapy of immunogenic cell death-associated genes in breast cancer |
title_sort | prognostic value and response to immunotherapy of immunogenic cell death-associated genes in breast cancer |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9948621/ https://www.ncbi.nlm.nih.gov/pubmed/36845750 http://dx.doi.org/10.3389/fonc.2023.1047973 |
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