Single-cell and spatial transcriptome analyses revealed cell heterogeneity and immune environment alternations in metastatic axillary lymph nodes in breast cancer

免疫系统 肿瘤微环境 生物 CD8型 癌症研究 细胞毒性T细胞 癌细胞 癌症 转移性乳腺癌 转移 乳腺癌 免疫学 遗传学 生物化学 体外
作者
Xiaofan Mao,Dan Zhou,Kairong Lin,Beiying Zhang,Juntao Gao,Fei Ling,Lewei Zhu,Sifei Yu,Peixian Chen,Chuling Zhang,Chunguo Zhang,Guolin Ye,Simon Fong,Guoqiang Chen,Wei Luo
出处
期刊:Cancer Immunology, Immunotherapy [Springer Science+Business Media]
卷期号:72 (3): 679-695 被引量:16
标识
DOI:10.1007/s00262-022-03278-2
摘要

Tumor heterogeneity plays essential roles in developing cancer therapies, including therapies for breast cancer (BC). In addition, it is also very important to understand the relationships between tumor microenvironments and the systematic immune environment.Here, we performed single-cell, VDJ sequencing and spatial transcriptome analyses on tumor and adjacent normal tissue as well as axillar lymph nodes (LNs) and peripheral blood mononuclear cells (PBMCs) from 8 BC patients.We found that myeloid cells exhibited environment-dependent plasticity, where a group of macrophages with both M1 and M2 signatures possessed high tumor specificity spatially and was associated with worse patient survival. Cytotoxic T cells in tumor sites evolved in a separate path from those in the circulatory system. T cell receptor (TCR) repertoires in metastatic LNs showed significant higher consistency with TCRs in tumor than those in nonmetastatic LNs and PBMCs, suggesting the existence of common neo-antigens across metastatic LNs and primary tumor cites. In addition, the immune environment in metastatic LNs had transformed into a tumor-like status, where pro-inflammatory macrophages and exhausted T cells were upregulated, accompanied by a decrease in B cells and neutrophils. Finally, cell interactions showed that cancer-associated fibroblasts (CAFs) contributed most to shaping the immune-suppressive microenvironment, while CD8+ cells were the most signal-responsive cells.This study revealed the cell structures of both micro- and macroenvironments, revealed how different cells diverged in related contexts as well as their prognostic capacities, and displayed a landscape of cell interactions with spatial information.
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