Department of Pathophysiology, Anhui Medical University, Hefei, China.
Department of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, United States.
Front Immunol. 2022 Apr 20;13:868813. doi: 10.3389/fimmu.2022.868813. eCollection 2022.
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.
乳腺癌的发生和发展不仅依赖于肿瘤细胞的增殖,还依赖于周围肿瘤微环境的显著异质性。其独特的微环境,包括肿瘤浸润淋巴细胞、复杂的髓样细胞、脂质相关巨噬细胞、癌相关成纤维细胞(CAFs)和其他促进肿瘤细胞生长和迁移的分子,已被证明在乳腺癌的发生、生长和转移中起着关键作用。然而,对乳腺癌复杂微环境的详细了解在很大程度上仍然未知。乳腺癌微环境细胞的独特模式研究得很少,也没有评估这些细胞在发病机制中的支持作用。单细胞多组学生物技术,特别是单细胞 RNA 测序(scRNA-seq)以更高的分辨率揭示单细胞表达水平,精细剖析肿瘤微环境的分子特征。在这里,我们回顾了乳腺癌微环境的最新文献,重点关注 scRNA-seq 研究,并分析了不同细胞(包括 T 和 B 细胞、巨噬细胞/单核细胞、中性粒细胞和基质细胞)的异质性和空间位置。本综述旨在提供对乳腺癌微环境的更全面认识,并对其临床分类、诊断和治疗进行注释。此外,我们还讨论了新型单细胞组学技术(如丰富的组学探索策略、多组学联合分析模式和深度学习网络架构)对乳腺癌免疫微环境未来研究的影响。