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Mapping Breast Cancer Microenvironment Through Single-Cell Omics
Breast cancer development and progression rely not only on the proliferation of neoplastic cells but also on the significant heterogeneity in the surrounding tumor microenvironment. Its unique microenvironment, including tumor-infiltrating lymphocytes, complex myeloid cells, lipid-associated macroph...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9065352/ https://www.ncbi.nlm.nih.gov/pubmed/35514975 http://dx.doi.org/10.3389/fimmu.2022.868813 |
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author | Tan, Zhenya Kan, Chen Sun, Minqiong Yang, Fan Wong, Mandy Wang, Siying Zheng, Hong |
author_facet | Tan, Zhenya Kan, Chen Sun, Minqiong Yang, Fan Wong, Mandy Wang, Siying Zheng, Hong |
author_sort | Tan, Zhenya |
collection | PubMed |
description | Breast cancer development and progression rely not only on the proliferation of neoplastic cells but also on the significant heterogeneity in the surrounding tumor microenvironment. Its unique microenvironment, including tumor-infiltrating lymphocytes, complex myeloid cells, lipid-associated macrophages, cancer-associated fibroblasts (CAFs), and other molecules that promote the growth and migration of tumor cells, has been shown to play a crucial role in the occurrence, growth, and metastasis of breast cancer. However, a detailed understanding of the complex microenvironment in breast cancer remains largely unknown. The unique pattern of breast cancer microenvironment cells has been poorly studied, and neither has the supportive role of these cells in pathogenesis been assessed. Single-cell multiomics biotechnology, especially single-cell RNA sequencing (scRNA-seq) reveals single-cell expression levels at much higher resolution, finely dissecting the molecular characteristics of tumor microenvironment. Here, we review the recent literature on breast cancer microenvironment, focusing on scRNA-seq studies and analyzing heterogeneity and spatial location of different cells, including T and B cells, macrophages/monocytes, neutrophils, and stromal cells. This review aims to provide a more comprehensive perception of breast cancer microenvironment and annotation for their clinical classification, diagnosis, and treatment. Furthermore, we discuss the impact of novel single-cell omics technologies, such as abundant omics exploration strategies, multiomics conjoint analysis mode, and deep learning network architecture, on the future research of breast cancer immune microenvironment. |
format | Online Article Text |
id | pubmed-9065352 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90653522022-05-04 Mapping Breast Cancer Microenvironment Through Single-Cell Omics Tan, Zhenya Kan, Chen Sun, Minqiong Yang, Fan Wong, Mandy Wang, Siying Zheng, Hong Front Immunol Immunology Breast cancer development and progression rely not only on the proliferation of neoplastic cells but also on the significant heterogeneity in the surrounding tumor microenvironment. Its unique microenvironment, including tumor-infiltrating lymphocytes, complex myeloid cells, lipid-associated macrophages, cancer-associated fibroblasts (CAFs), and other molecules that promote the growth and migration of tumor cells, has been shown to play a crucial role in the occurrence, growth, and metastasis of breast cancer. However, a detailed understanding of the complex microenvironment in breast cancer remains largely unknown. The unique pattern of breast cancer microenvironment cells has been poorly studied, and neither has the supportive role of these cells in pathogenesis been assessed. Single-cell multiomics biotechnology, especially single-cell RNA sequencing (scRNA-seq) reveals single-cell expression levels at much higher resolution, finely dissecting the molecular characteristics of tumor microenvironment. Here, we review the recent literature on breast cancer microenvironment, focusing on scRNA-seq studies and analyzing heterogeneity and spatial location of different cells, including T and B cells, macrophages/monocytes, neutrophils, and stromal cells. This review aims to provide a more comprehensive perception of breast cancer microenvironment and annotation for their clinical classification, diagnosis, and treatment. Furthermore, we discuss the impact of novel single-cell omics technologies, such as abundant omics exploration strategies, multiomics conjoint analysis mode, and deep learning network architecture, on the future research of breast cancer immune microenvironment. Frontiers Media S.A. 2022-04-20 /pmc/articles/PMC9065352/ /pubmed/35514975 http://dx.doi.org/10.3389/fimmu.2022.868813 Text en Copyright © 2022 Tan, Kan, Sun, Yang, Wong, Wang and Zheng 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 Tan, Zhenya Kan, Chen Sun, Minqiong Yang, Fan Wong, Mandy Wang, Siying Zheng, Hong Mapping Breast Cancer Microenvironment Through Single-Cell Omics |
title | Mapping Breast Cancer Microenvironment Through Single-Cell Omics |
title_full | Mapping Breast Cancer Microenvironment Through Single-Cell Omics |
title_fullStr | Mapping Breast Cancer Microenvironment Through Single-Cell Omics |
title_full_unstemmed | Mapping Breast Cancer Microenvironment Through Single-Cell Omics |
title_short | Mapping Breast Cancer Microenvironment Through Single-Cell Omics |
title_sort | mapping breast cancer microenvironment through single-cell omics |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9065352/ https://www.ncbi.nlm.nih.gov/pubmed/35514975 http://dx.doi.org/10.3389/fimmu.2022.868813 |
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