Tumor Immunogenomics and Immunosurveillance Laboratory, University College London Cancer Institute, Paul O'Gorman, Building, 72 Huntley Street, London WC1E 6BT, UK; Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, Paul O'Gorman, Building, 72 Huntley Street, London WC1E 6BT, UK; Pre-Cancer Immunology Laboratory, University College London Cancer Institute, Paul O'Gorman, Building, 72 Huntley Street, London WC1E 6BT, UK.
Tumor Immunogenomics and Immunosurveillance Laboratory, University College London Cancer Institute, Paul O'Gorman, Building, 72 Huntley Street, London WC1E 6BT, UK; Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, Paul O'Gorman, Building, 72 Huntley Street, London WC1E 6BT, UK.
Cancer Cell. 2024 Oct 14;42(10):1784-1797.e4. doi: 10.1016/j.ccell.2024.09.011.
Tumor-infiltrating B cells play a significant role in tumor development, progression, and prognosis, yet a comprehensive classification system is lacking. To address this gap, we present a pan-cancer single-cell RNA sequencing (scRNA-seq) atlas of tumor-infiltrating B and plasma cells across a large sample cohort. We identify key B cell subset signatures, revealing distinct subpopulations and highlighting the heterogeneity and functional diversity of these cells in the tumor microenvironment. We explore associations between B cell subsets and checkpoint inhibitor therapy responses, finding subset-specific effects on overall response. Additionally, we examine B and T cell crosstalk, identifying unique ligand-receptor pairs for specific B cell subsets, spatially validated. This comprehensive dataset serves as a valuable resource, providing a detailed atlas that enhances the understanding of B cell complexity in tumors and opens new avenues for research and therapeutic strategies.
肿瘤浸润 B 细胞在肿瘤的发生、发展和预后中起着重要作用，但缺乏全面的分类系统。为了解决这一差距，我们展示了一个跨大型样本队列的肿瘤浸润 B 细胞和浆细胞的泛癌症单细胞 RNA 测序 (scRNA-seq) 图谱。我们确定了关键的 B 细胞亚群特征，揭示了不同的亚群，并强调了这些细胞在肿瘤微环境中的异质性和功能多样性。我们探讨了 B 细胞亚群与检查点抑制剂治疗反应之间的关联，发现亚群特异性对总体反应的影响。此外，我们还研究了 B 细胞和 T 细胞的串扰，确定了特定 B 细胞亚群的独特配体-受体对，并在空间上进行了验证。这个全面的数据集是一个有价值的资源，提供了一个详细的图谱，增强了对肿瘤中 B 细胞复杂性的理解，并为研究和治疗策略开辟了新的途径。
