A pan-cancer single-cell RNA-seq atlas of intratumoral B cells

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.

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Publication Details

Journal
Cancer Cell
Published
2024-10-01
DOI
https://doi.org/10.1016/j.ccell.2024.09.011
Citations
44
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
10.29

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A pan-cancer single-cell RNA-seq atlas of intratumoral B cells

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A pan-cancer single-cell RNA-seq atlas of intratumoral B cells

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article en
44 citations

Abstract

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.

Cancer CellVol. 42(10)
CRUK Lung Cancer Centre of Excellence (GB), University College London (GB)
UK Research and Innovation, Cancer Research UK, Medical Research Council, University College London Hospitals Biomedical Research Centre
Good health and well-being
Openalex Percentile: Top 1%
Single-cell and spatial transcriptomics
10.29
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