A novel immune subtype classification of ER-positive, PR-negative and HER2-negative breast cancer based on the genomic and transcriptomic landscape

Abstract Background The diversity and plasticity behind ER+/PR−/HER2− breast cancer have not been widely explored. It is essential to identify heterogeneous microenvironment phenotypes and investigate specific genomic events driving the formation of these phenotypes. Methods Based on the immune-rela...

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Main Authors: Peiling Xie, Rui An, Shibo Yu, Jianjun He, Huimin Zhang
Format: Article
Language:English
Published: BMC 2021-09-01
Series:Journal of Translational Medicine
Subjects:
Online Access:https://doi.org/10.1186/s12967-021-03076-x
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spelling doaj-9211a8986c4e4d4abca68ac68b1ef2de2021-09-26T11:08:23ZengBMCJournal of Translational Medicine1479-58762021-09-0119111410.1186/s12967-021-03076-xA novel immune subtype classification of ER-positive, PR-negative and HER2-negative breast cancer based on the genomic and transcriptomic landscapePeiling Xie0Rui An1Shibo Yu2Jianjun He3Huimin Zhang4Department of Breast Surgery, The First Affiliated Hospital of Xi’an Jiaotong UniversityDepartment of Hepatological Surgery, The First Affiliated Hospital of Xi’an Jiaotong UniversityDepartment of Breast Surgery, The First Affiliated Hospital of Xi’an Jiaotong UniversityDepartment of Breast Surgery, The First Affiliated Hospital of Xi’an Jiaotong UniversityDepartment of Breast Surgery, The First Affiliated Hospital of Xi’an Jiaotong UniversityAbstract Background The diversity and plasticity behind ER+/PR−/HER2− breast cancer have not been widely explored. It is essential to identify heterogeneous microenvironment phenotypes and investigate specific genomic events driving the formation of these phenotypes. Methods Based on the immune-related gene expression profiles of 411 ER+/PR−/HER2− breast cancers in the METABRIC cohort, we used consensus clustering to identify heterogeneous immune subtypes and assessed their reproducibility in an independent meta-cohort including 135 patients collected from GEO database. We further analyzed the differences of cellular and molecular characteristics, and potential immune escape mechanism among immune subtypes. In addition, we constructed a transcriptional trajectory to visualize the distribution of individual patient. Results Our analysis identified and validated five reproducible immune subtypes with distinct cellular and molecular characteristics, potential immune escape mechanisms, genomic drivers, as well as clinical outcomes. An immune-cold subtype, with the least amount of lymphocyte infiltration, had a poorer prognosis. By contrast, an immune-hot subtype, which demonstrated the highest infiltration of CD8+ T cells, DCs and NK cells, and elevated IFN-γ response, had a comparatively favorable prognosis. Other subtypes showed more diverse gene expression and immune infiltration patterns with distinct clinical outcomes. Finally, our analysis revealed a complex immune landscape consisting of both discrete cluster and continuous spectrum. Conclusion Overall, this study revealed five heterogeneous immune subtypes among ER+/PR–/HER2− breast cancer, also provided important implications for clinical translations.https://doi.org/10.1186/s12967-021-03076-xBreast cancerER+/PR−/HER2−Immune classificationMulti-omics
collection DOAJ
language English
format Article
sources DOAJ
author Peiling Xie
Rui An
Shibo Yu
Jianjun He
Huimin Zhang
spellingShingle Peiling Xie
Rui An
Shibo Yu
Jianjun He
Huimin Zhang
A novel immune subtype classification of ER-positive, PR-negative and HER2-negative breast cancer based on the genomic and transcriptomic landscape
Journal of Translational Medicine
Breast cancer
ER+/PR−/HER2−
Immune classification
Multi-omics
author_facet Peiling Xie
Rui An
Shibo Yu
Jianjun He
Huimin Zhang
author_sort Peiling Xie
title A novel immune subtype classification of ER-positive, PR-negative and HER2-negative breast cancer based on the genomic and transcriptomic landscape
title_short A novel immune subtype classification of ER-positive, PR-negative and HER2-negative breast cancer based on the genomic and transcriptomic landscape
title_full A novel immune subtype classification of ER-positive, PR-negative and HER2-negative breast cancer based on the genomic and transcriptomic landscape
title_fullStr A novel immune subtype classification of ER-positive, PR-negative and HER2-negative breast cancer based on the genomic and transcriptomic landscape
title_full_unstemmed A novel immune subtype classification of ER-positive, PR-negative and HER2-negative breast cancer based on the genomic and transcriptomic landscape
title_sort novel immune subtype classification of er-positive, pr-negative and her2-negative breast cancer based on the genomic and transcriptomic landscape
publisher BMC
series Journal of Translational Medicine
issn 1479-5876
publishDate 2021-09-01
description Abstract Background The diversity and plasticity behind ER+/PR−/HER2− breast cancer have not been widely explored. It is essential to identify heterogeneous microenvironment phenotypes and investigate specific genomic events driving the formation of these phenotypes. Methods Based on the immune-related gene expression profiles of 411 ER+/PR−/HER2− breast cancers in the METABRIC cohort, we used consensus clustering to identify heterogeneous immune subtypes and assessed their reproducibility in an independent meta-cohort including 135 patients collected from GEO database. We further analyzed the differences of cellular and molecular characteristics, and potential immune escape mechanism among immune subtypes. In addition, we constructed a transcriptional trajectory to visualize the distribution of individual patient. Results Our analysis identified and validated five reproducible immune subtypes with distinct cellular and molecular characteristics, potential immune escape mechanisms, genomic drivers, as well as clinical outcomes. An immune-cold subtype, with the least amount of lymphocyte infiltration, had a poorer prognosis. By contrast, an immune-hot subtype, which demonstrated the highest infiltration of CD8+ T cells, DCs and NK cells, and elevated IFN-γ response, had a comparatively favorable prognosis. Other subtypes showed more diverse gene expression and immune infiltration patterns with distinct clinical outcomes. Finally, our analysis revealed a complex immune landscape consisting of both discrete cluster and continuous spectrum. Conclusion Overall, this study revealed five heterogeneous immune subtypes among ER+/PR–/HER2− breast cancer, also provided important implications for clinical translations.
topic Breast cancer
ER+/PR−/HER2−
Immune classification
Multi-omics
url https://doi.org/10.1186/s12967-021-03076-x
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