期刊
JOURNAL OF EXPERIMENTAL & CLINICAL CANCER RESEARCH
卷 40, 期 1, 页码 -出版社
BMC
DOI: 10.1186/s13046-021-01949-z
关键词
Breast cancer; Tumor microenvironment; Single-cell RNA sequencing; Single-cell DNA sequencing
类别
资金
- Postgraduate Research & Practice Innovation Program of Jiangsu Province [JX10213767]
- National Key Research and Development Program of China [ZDZX2017ZL-01]
- High-level Innovation Team of Nanjing Medical University [JX102GSP201727]
- Wu Jieping Foundation [320.6750.17006]
- Key Medical Talents [ZDRCA2016023]
- National Natural Science Foundation of China [81972484]
- Collaborative Innovation Center for Tumor Individualization Focuses on Open Topics [JX21817902/008]
- Project of China Key Research and Development Program Precision Medicine Research [2016YFC0905901]
Breast cancer is a heterogeneous disease with a complex microenvironment involving tumor cells, immune cells, fibroblasts, and vascular cells. Recent advances in single-cell technologies have provided new insights into the diversity of tumor-infiltrating cells in breast cancer. Understanding the phenotypic and functional diversity of intra-tumoral cells is crucial for predicting prognosis and developing effective treatments for breast cancer.
Breast cancer is a heterogeneous disease with a complex microenvironment consisting of tumor cells, immune cells, fibroblasts and vascular cells. These cancer-associated cells shape the tumor microenvironment (TME) and influence the progression of breast cancer and the therapeutic responses in patients. The exact composition of the intra-tumoral cells is mixed as the highly heterogeneous and dynamic nature of the TME. Recent advances in single-cell technologies such as single-cell DNA sequencing (scDNA-seq), single-cell RNA sequencing (scRNA-seq) and mass cytometry have provided new insights into the phenotypic and functional diversity of tumor-infiltrating cells in breast cancer. In this review, we have outlined the recent progress in single-cell characterization of breast tumor ecosystems, and summarized the phenotypic diversity of intra-tumoral cells and their potential prognostic relevance.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据