Single-cell and spatial transcriptome analyses reveal tertiary lymphoid structures linked to tumour progression and immunotherapy response in nasopharyngeal carcinoma.
Yang LiuShuang-Yan YeShuai HeDong-Mei ChiXiu-Zhi WangYue-Feng WenDong MaRun-Cong NiePu XiangYou ZhouZhao-Hui RuanRou-Jun PengChun-Ling LuoPan-Pan WeiGuo-Wang LinJian ZhengQian CuiMu-Yan CaiJing-Ping YunJunchao DongHai-Qiang MaiXiaojun XiaJin-Xin BeiPublished in: Nature communications (2024)
Tertiary lymphoid structures are immune cell aggregates linked with cancer outcomes, but their interactions with tumour cell aggregates are unclear. Using nasopharyngeal carcinoma as a model, here we analyse single-cell transcriptomes of 343,829 cells from 77 biopsy and blood samples and spatially-resolved transcriptomes of 31,316 spots from 15 tumours to decipher their components and interactions with tumour cell aggregates. We identify essential cell populations in tertiary lymphoid structure, including CXCL13 + cancer-associated fibroblasts, stem-like CXCL13 + CD8 + T cells, and B and T follicular helper cells. Our study shows that germinal centre reaction matures plasma cells. These plasma cells intersperse with tumour cell aggregates, promoting apoptosis of EBV-related malignant cells and enhancing immunotherapy response. CXCL13 + cancer-associated fibroblasts promote B cell adhesion and antibody production, activating CXCL13 + CD8 + T cells that become exhausted in tumour cell aggregates. Tertiary lymphoid structure-related cell signatures correlate with prognosis and PD-1 blockade response, offering insights for therapeutic strategies in cancers.
Keyphrases
- single cell
- rna seq
- cell cycle arrest
- induced apoptosis
- cell therapy
- high throughput
- signaling pathway
- endoplasmic reticulum stress
- gene expression
- squamous cell carcinoma
- oxidative stress
- stem cells
- high resolution
- dna methylation
- cell death
- genome wide
- regulatory t cells
- cell adhesion
- skeletal muscle
- pi k akt
- dendritic cells
- adipose tissue
- young adults
- insulin resistance
- mass spectrometry