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.

中文翻译：

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瘤内 B 细胞的泛癌种单细胞 RNA-seq 图谱


肿瘤浸润 B 细胞在肿瘤发生、进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，我们提供了一个泛癌种单细胞 RNA 测序 （scRNA-seq） 图谱，该图谱显示了一个大型样本队列中肿瘤浸润的 B 细胞和浆细胞。我们确定了关键的 B 细胞亚群特征，揭示了不同的亚群，并突出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，发现了亚群特异性对总体反应的影响。此外，我们检查 B 细胞和 T 细胞串扰，确定特定 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种宝贵的资源，提供了详细的图谱，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。