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Microenvironment components and spatially resolved single-cell transcriptome atlas of breast cancer metastatic axillary lymph nodes

Authors :
Xu Kun
Wang Runtian
Chen Qin
Liu Yiqiu
Li Xintong
Mao Ling
Wang Cenzhu
Gao Fangyan
Hu Longfei
Xie Hui
Wang Cong
Zhou Guohua
Guan Xiaoxiang
Source :
Acta Biochimica et Biophysica Sinica, Vol 54, Pp 1336-1348 (2022)
Publication Year :
2022
Publisher :
China Science Publishing & Media Ltd., 2022.

Abstract

As an indicator of clinical prognosis, lymph node metastasis of breast cancer has drawn great attention. Many reports have revealed the characteristics of metastatic breast cancer cells, however, the effect of breast cancer cells on the microenvironment components of lymph nodes and spatial transcriptome atlas remains unclear. In this study, by integrating single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics, we investigate the transcriptional profiling of six surgically excised lymph node samples and the spatial organization of one positive lymph node. We identify the existence of osteoclast-like giant cells (OGC) which have high expressions of CD68 and CD163, the biomarkers of tumor-associated macrophages (TAMs). Through a spatially resolved transcriptomic method, we find that OGCs are scattered among metastatic breast cancer cells. In the lymph node microenvironment with breast cancer cell infiltration, TAMs are enriched in protumoral pathways including NF-κB signaling pathways and NOD-like receptor signaling pathways. Further subclustering demonstrates the potential differentiation trajectory in which macrophages develop from a state of active chemokine production to a state of active lymphocyte activation. This study is the first to integrate scRNA-seq and spatial transcriptomics in the tumor microenvironment of axillary lymph nodes, offering a systematic approach to delve into breast cancer lymph node metastasis.

Details

Language :
English
ISSN :
16729145
Volume :
54
Database :
Directory of Open Access Journals
Journal :
Acta Biochimica et Biophysica Sinica
Publication Type :
Academic Journal
Accession number :
edsdoj.7cb9228324590926574f78e4af4af
Document Type :
article
Full Text :
https://doi.org/10.3724/abbs.2022131