An Immune-Related Gene Prognostic Index for Triple-Negative Breast Cancer Integrates Multiple Aspects of Tumor-Immune Microenvironment

Tumor-immune cell compositions and immune checkpoints comprehensively affect TNBC outcomes. With the significantly improved survival rate of TNBC patients treated with ICI therapies, a biomarker integrating multiple aspects of TIME may have prognostic value for improving the efficacy of ICI therapy....

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Autores principales:	Xiaowei Wang, Wenjia Su, Dabei Tang, Jing Jing, Jing Xiong, Yuwei Deng, Huili Liu, Wenjie Ma, Zhaoliang Liu, Qingyuan Zhang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	TIME ICI therapy TNBC biomarker Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
Acceso en línea:	https://doaj.org/article/0ae4a56856e9481594f68050c3fb29c2
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spelling	oai:doaj.org-article:0ae4a56856e9481594f68050c3fb29c22021-11-11T15:28:43ZAn Immune-Related Gene Prognostic Index for Triple-Negative Breast Cancer Integrates Multiple Aspects of Tumor-Immune Microenvironment10.3390/cancers132153422072-6694https://doaj.org/article/0ae4a56856e9481594f68050c3fb29c22021-10-01T00:00:00Zhttps://www.mdpi.com/2072-6694/13/21/5342https://doaj.org/toc/2072-6694Tumor-immune cell compositions and immune checkpoints comprehensively affect TNBC outcomes. With the significantly improved survival rate of TNBC patients treated with ICI therapies, a biomarker integrating multiple aspects of TIME may have prognostic value for improving the efficacy of ICI therapy. Immune-related hub genes were identified with weighted gene co-expression network analysis and differential gene expression assay using The Cancer Genome Atlas TNBC data set (<i>n</i> = 115). IRGPI was constructed with Cox regression analysis. Immune cell compositions and TIL status were analyzed with CIBERSORT and TIDE. The discovery was validated with the Molecular Taxonomy of Breast Cancer International Consortium data set (<i>n</i> = 196) and a patient cohort from our hospital. Tumor expression or serum concentrations of CCL5, CCL25, or PD-L1 were determined with immunohistochemistry or ELISA. The constructed IRGPI was composed of CCL5 and CCL25 genes and was negatively associated with the patient’s survival. IRGPI also predicts the compositions of M0 and M2 macrophages, memory B cells, CD8<sup>+</sup> T cells, activated memory CD4 T cells, and the exclusion and dysfunction of TILs, as well as PD-1 and PD-L1 expression of TNBC. IRGPI is a promising biomarker for predicting the prognosis and multiple immune characteristics of TNBC.Xiaowei WangWenjia SuDabei TangJing JingJing XiongYuwei DengHuili LiuWenjie MaZhaoliang LiuQingyuan ZhangMDPI AGarticleTIMEICI therapyTNBCbiomarkerNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENCancers, Vol 13, Iss 5342, p 5342 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	TIME ICI therapy TNBC biomarker Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
spellingShingle	TIME ICI therapy TNBC biomarker Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Xiaowei Wang Wenjia Su Dabei Tang Jing Jing Jing Xiong Yuwei Deng Huili Liu Wenjie Ma Zhaoliang Liu Qingyuan Zhang An Immune-Related Gene Prognostic Index for Triple-Negative Breast Cancer Integrates Multiple Aspects of Tumor-Immune Microenvironment
description	Tumor-immune cell compositions and immune checkpoints comprehensively affect TNBC outcomes. With the significantly improved survival rate of TNBC patients treated with ICI therapies, a biomarker integrating multiple aspects of TIME may have prognostic value for improving the efficacy of ICI therapy. Immune-related hub genes were identified with weighted gene co-expression network analysis and differential gene expression assay using The Cancer Genome Atlas TNBC data set (<i>n</i> = 115). IRGPI was constructed with Cox regression analysis. Immune cell compositions and TIL status were analyzed with CIBERSORT and TIDE. The discovery was validated with the Molecular Taxonomy of Breast Cancer International Consortium data set (<i>n</i> = 196) and a patient cohort from our hospital. Tumor expression or serum concentrations of CCL5, CCL25, or PD-L1 were determined with immunohistochemistry or ELISA. The constructed IRGPI was composed of CCL5 and CCL25 genes and was negatively associated with the patient’s survival. IRGPI also predicts the compositions of M0 and M2 macrophages, memory B cells, CD8<sup>+</sup> T cells, activated memory CD4 T cells, and the exclusion and dysfunction of TILs, as well as PD-1 and PD-L1 expression of TNBC. IRGPI is a promising biomarker for predicting the prognosis and multiple immune characteristics of TNBC.
format	article
author	Xiaowei Wang Wenjia Su Dabei Tang Jing Jing Jing Xiong Yuwei Deng Huili Liu Wenjie Ma Zhaoliang Liu Qingyuan Zhang
author_facet	Xiaowei Wang Wenjia Su Dabei Tang Jing Jing Jing Xiong Yuwei Deng Huili Liu Wenjie Ma Zhaoliang Liu Qingyuan Zhang
author_sort	Xiaowei Wang
title	An Immune-Related Gene Prognostic Index for Triple-Negative Breast Cancer Integrates Multiple Aspects of Tumor-Immune Microenvironment
title_short	An Immune-Related Gene Prognostic Index for Triple-Negative Breast Cancer Integrates Multiple Aspects of Tumor-Immune Microenvironment
title_full	An Immune-Related Gene Prognostic Index for Triple-Negative Breast Cancer Integrates Multiple Aspects of Tumor-Immune Microenvironment
title_fullStr	An Immune-Related Gene Prognostic Index for Triple-Negative Breast Cancer Integrates Multiple Aspects of Tumor-Immune Microenvironment
title_full_unstemmed	An Immune-Related Gene Prognostic Index for Triple-Negative Breast Cancer Integrates Multiple Aspects of Tumor-Immune Microenvironment
title_sort	immune-related gene prognostic index for triple-negative breast cancer integrates multiple aspects of tumor-immune microenvironment
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/0ae4a56856e9481594f68050c3fb29c2
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An Immune-Related Gene Prognostic Index for Triple-Negative Breast Cancer Integrates Multiple Aspects of Tumor-Immune Microenvironment

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