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Novel immune-related genes in the tumor microenvironment with prognostic value in breast cancer

BACKGROUND: Breast cancer is one of the most frequently diagnosed cancers among women worldwide. Alterations in the tumor microenvironment (TME) have been increasingly recognized as key in the development and progression of breast cancer in recent years. To deeply comprehend the gene expression prof...

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Autores principales: Tan, Wen, Liu, Maomao, Wang, Liangshan, Guo, Yang, Wei, Changsheng, Zhang, Shuqi, Luo, Chengyu, Liu, Nan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7866632/
https://www.ncbi.nlm.nih.gov/pubmed/33549054
http://dx.doi.org/10.1186/s12885-021-07837-1
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author Tan, Wen
Liu, Maomao
Wang, Liangshan
Guo, Yang
Wei, Changsheng
Zhang, Shuqi
Luo, Chengyu
Liu, Nan
author_facet Tan, Wen
Liu, Maomao
Wang, Liangshan
Guo, Yang
Wei, Changsheng
Zhang, Shuqi
Luo, Chengyu
Liu, Nan
author_sort Tan, Wen
collection PubMed
description BACKGROUND: Breast cancer is one of the most frequently diagnosed cancers among women worldwide. Alterations in the tumor microenvironment (TME) have been increasingly recognized as key in the development and progression of breast cancer in recent years. To deeply comprehend the gene expression profiling of the TME and identify immunological targets, as well as determine the relationship between gene expression and different prognoses is highly critical. METHODS: The stromal/immune scores of breast cancer patients from The Cancer Genome Atlas (TCGA) were employed to comprehensively evaluate the TME. Then, TME characteristics were assessed, overlapping genes of the top 3 Gene Ontology (GO) terms and upregulated differentially expressed genes (DEGs) were analyzed. Finally, through combined analyses of overall survival, time-dependent receiver operating characteristic (ROC), and protein-protein interaction (PPI) network, novel immune related genes with good prognosis were screened and validated in both TCGA and GEO database. RESULTS: Although the TME did not correlate with the stages of breast cancer, it was closely associated with the subtypes of breast cancer and gene mutations (CDH1, TP53 and PTEN), and had immunological characteristics. Based on GO functional enrichment analysis, the upregulated genes from the high vs low immune score groups were mainly involved in T cell activation, the external side of the plasma membrane, and receptor ligand activity. The top GO terms of the upregulated DEGs from the high vs low immune score groups exhibited better prognosis in breast cancer; 15 of them were related to good prognosis in breast cancer, especially CD226 and KLRC4-KLRK1. CONCLUSIONS: High CD226 and KLRC4-KLRK1 expression levels were identified and validated to correlate with better overall survival in specific stages or subtypes of breast cancer. CD226, KLRC4-KLRK1 and other new targets seem to be promising avenues for promoting antitumor targeted immunotherapy in breast cancer. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-021-07837-1.
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spelling pubmed-78666322021-02-08 Novel immune-related genes in the tumor microenvironment with prognostic value in breast cancer Tan, Wen Liu, Maomao Wang, Liangshan Guo, Yang Wei, Changsheng Zhang, Shuqi Luo, Chengyu Liu, Nan BMC Cancer Research Article BACKGROUND: Breast cancer is one of the most frequently diagnosed cancers among women worldwide. Alterations in the tumor microenvironment (TME) have been increasingly recognized as key in the development and progression of breast cancer in recent years. To deeply comprehend the gene expression profiling of the TME and identify immunological targets, as well as determine the relationship between gene expression and different prognoses is highly critical. METHODS: The stromal/immune scores of breast cancer patients from The Cancer Genome Atlas (TCGA) were employed to comprehensively evaluate the TME. Then, TME characteristics were assessed, overlapping genes of the top 3 Gene Ontology (GO) terms and upregulated differentially expressed genes (DEGs) were analyzed. Finally, through combined analyses of overall survival, time-dependent receiver operating characteristic (ROC), and protein-protein interaction (PPI) network, novel immune related genes with good prognosis were screened and validated in both TCGA and GEO database. RESULTS: Although the TME did not correlate with the stages of breast cancer, it was closely associated with the subtypes of breast cancer and gene mutations (CDH1, TP53 and PTEN), and had immunological characteristics. Based on GO functional enrichment analysis, the upregulated genes from the high vs low immune score groups were mainly involved in T cell activation, the external side of the plasma membrane, and receptor ligand activity. The top GO terms of the upregulated DEGs from the high vs low immune score groups exhibited better prognosis in breast cancer; 15 of them were related to good prognosis in breast cancer, especially CD226 and KLRC4-KLRK1. CONCLUSIONS: High CD226 and KLRC4-KLRK1 expression levels were identified and validated to correlate with better overall survival in specific stages or subtypes of breast cancer. CD226, KLRC4-KLRK1 and other new targets seem to be promising avenues for promoting antitumor targeted immunotherapy in breast cancer. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-021-07837-1. BioMed Central 2021-02-06 /pmc/articles/PMC7866632/ /pubmed/33549054 http://dx.doi.org/10.1186/s12885-021-07837-1 Text en © The Author(s) 2021 Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Tan, Wen
Liu, Maomao
Wang, Liangshan
Guo, Yang
Wei, Changsheng
Zhang, Shuqi
Luo, Chengyu
Liu, Nan
Novel immune-related genes in the tumor microenvironment with prognostic value in breast cancer
title Novel immune-related genes in the tumor microenvironment with prognostic value in breast cancer
title_full Novel immune-related genes in the tumor microenvironment with prognostic value in breast cancer
title_fullStr Novel immune-related genes in the tumor microenvironment with prognostic value in breast cancer
title_full_unstemmed Novel immune-related genes in the tumor microenvironment with prognostic value in breast cancer
title_short Novel immune-related genes in the tumor microenvironment with prognostic value in breast cancer
title_sort novel immune-related genes in the tumor microenvironment with prognostic value in breast cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7866632/
https://www.ncbi.nlm.nih.gov/pubmed/33549054
http://dx.doi.org/10.1186/s12885-021-07837-1
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