Characterizing tertiary lymphoid structures associated single-cell atlas in breast cancer patients

CD8型 癌症研究 乳腺癌 免疫疗法 生物 免疫系统 T细胞 细胞 癌症 免疫原性 医学 免疫学 遗传学
作者
Xiaokai Fan,Daqin Feng,Dongmei Wei,Anqi Li,Fangyi Wei,Shufang Deng,Muling Shen,Congzhi Qin,Yongjia Yu,Lun Liang
出处
期刊:Cancer Cell International [BioMed Central]
卷期号:25 (1): 12-12 被引量:11
标识
DOI:10.1186/s12935-025-03635-y
摘要

The tertiary lymphoid structure (TLS) is recognized as a potential prognosis factor for breast cancer and is strongly associated with response to immunotherapy. Inducing TLS neogenesis can enhance the immunogenicity of tumors and improve the efficacy of immunotherapy. However, our understanding of TLS associated region at the single-cell level remains limited. Therefore, we employed high-resolution techniques, including single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST), and a TLS-specific signature to investigate TLS associated regions in breast cancer. We identified eighteen cell types within the TLS associated regions and calculated differential expression genes by comparing TLS associated regions with other areas. Notably, macrophages in the TLS associated regions exhibit lineage transformation, shifting from facilitators of immune activation to supporters of tumor cell growth. In terms of cell–cell communication within the TLS associated regions, KRT86+ CD8+ T cells, HISTIH4C+ cycling CD8+ T cells, IFNG+ CD8+ T cells, and IGKV3-20+ B cells demonstrate strong interactions with other cells. Additionally, we found that APOD+ fibroblast and CCL21+ fibroblast primarily recruit T and B cells through the CXCL12-CXCR4 ligand-receptor signaling pathway. We also validate these findings in four independent breast cancer datasets, which include one cell-level resolution dataset from the 10 × Xenium platform and three spot-level datasets from the 10 × Visium platform.
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