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.
Authors
- Kevin Litchfield (ORCID: https://orcid.org/0000-0002-3725-0914)
- Krupa Thakkar
- Evelyn Fitzsimons (ORCID: https://orcid.org/0000-0001-9280-9971)
- Marcellus Augustine
- Danwen Qian (ORCID: https://orcid.org/0000-0002-6209-0764)
- Samuel Gamble
- Andrei Enica (ORCID: https://orcid.org/0000-0001-8117-2207)
- James L. Reading (ORCID: https://orcid.org/0000-0001-5381-978X)
Institutions
- CRUK Lung Cancer Centre of Excellence (GB)
- University College London (GB)
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
Funders
- UK Research and Innovation
- Cancer Research UK
- Medical Research Council
- University College London Hospitals Biomedical Research Centre