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Identification and Validation of Immune-Related Methylation Clusters for Predicting Immune Activity and Prognosis in Breast Cancer
The role of DNA methylation of breast cancer-infiltrating immune cells has not been fully explored. We conducted a cohort-based retrospective study analyzing the genome-wide immune-related DNA methylation of 1057 breast cancer patients from the TCGA cohort and GSE72308 cohort. Based on patients’ ove...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8278823/ https://www.ncbi.nlm.nih.gov/pubmed/34276701 http://dx.doi.org/10.3389/fimmu.2021.704557 |
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author | Yang, Anli Zhou, Ying Kong, Yanan Wei, Xiaoli Ye, Feng Zhang, Lijuan Zhong, Xian Li, Mingyue Lu, Shilin An, Xin Xiao, Weikai |
author_facet | Yang, Anli Zhou, Ying Kong, Yanan Wei, Xiaoli Ye, Feng Zhang, Lijuan Zhong, Xian Li, Mingyue Lu, Shilin An, Xin Xiao, Weikai |
author_sort | Yang, Anli |
collection | PubMed |
description | The role of DNA methylation of breast cancer-infiltrating immune cells has not been fully explored. We conducted a cohort-based retrospective study analyzing the genome-wide immune-related DNA methylation of 1057 breast cancer patients from the TCGA cohort and GSE72308 cohort. Based on patients’ overall survival (OS), a prognostic risk score system using 18 immune-related methylation genes (IRMGs) was established and further validated in an independent cohort. Kaplan–Meier analysis showed a clear separation of OS between the low- and high-risk groups. Patients in the low-risk group had a higher immune score and stromal score compared with the high-risk group. Moreover, the characteristics based on 18-IRMGs signature were related to the tumor immune microenvironment and affected the abundance of tumor-infiltrating immune cells. Consistently, the 18-IRMGs signatures showed similar influences on immune modulation and survival in another external validation cohort (GSE72308). In conclusion, the proposed 18-IRMGs signature could be a potential marker for breast cancer prognostication. |
format | Online Article Text |
id | pubmed-8278823 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82788232021-07-15 Identification and Validation of Immune-Related Methylation Clusters for Predicting Immune Activity and Prognosis in Breast Cancer Yang, Anli Zhou, Ying Kong, Yanan Wei, Xiaoli Ye, Feng Zhang, Lijuan Zhong, Xian Li, Mingyue Lu, Shilin An, Xin Xiao, Weikai Front Immunol Immunology The role of DNA methylation of breast cancer-infiltrating immune cells has not been fully explored. We conducted a cohort-based retrospective study analyzing the genome-wide immune-related DNA methylation of 1057 breast cancer patients from the TCGA cohort and GSE72308 cohort. Based on patients’ overall survival (OS), a prognostic risk score system using 18 immune-related methylation genes (IRMGs) was established and further validated in an independent cohort. Kaplan–Meier analysis showed a clear separation of OS between the low- and high-risk groups. Patients in the low-risk group had a higher immune score and stromal score compared with the high-risk group. Moreover, the characteristics based on 18-IRMGs signature were related to the tumor immune microenvironment and affected the abundance of tumor-infiltrating immune cells. Consistently, the 18-IRMGs signatures showed similar influences on immune modulation and survival in another external validation cohort (GSE72308). In conclusion, the proposed 18-IRMGs signature could be a potential marker for breast cancer prognostication. Frontiers Media S.A. 2021-06-30 /pmc/articles/PMC8278823/ /pubmed/34276701 http://dx.doi.org/10.3389/fimmu.2021.704557 Text en Copyright © 2021 Yang, Zhou, Kong, Wei, Ye, Zhang, Zhong, Li, Lu, An and Xiao 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 Yang, Anli Zhou, Ying Kong, Yanan Wei, Xiaoli Ye, Feng Zhang, Lijuan Zhong, Xian Li, Mingyue Lu, Shilin An, Xin Xiao, Weikai Identification and Validation of Immune-Related Methylation Clusters for Predicting Immune Activity and Prognosis in Breast Cancer |
title | Identification and Validation of Immune-Related Methylation Clusters for Predicting Immune Activity and Prognosis in Breast Cancer |
title_full | Identification and Validation of Immune-Related Methylation Clusters for Predicting Immune Activity and Prognosis in Breast Cancer |
title_fullStr | Identification and Validation of Immune-Related Methylation Clusters for Predicting Immune Activity and Prognosis in Breast Cancer |
title_full_unstemmed | Identification and Validation of Immune-Related Methylation Clusters for Predicting Immune Activity and Prognosis in Breast Cancer |
title_short | Identification and Validation of Immune-Related Methylation Clusters for Predicting Immune Activity and Prognosis in Breast Cancer |
title_sort | identification and validation of immune-related methylation clusters for predicting immune activity and prognosis in breast cancer |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8278823/ https://www.ncbi.nlm.nih.gov/pubmed/34276701 http://dx.doi.org/10.3389/fimmu.2021.704557 |
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