Back to Search
Start Over
Pan-cancer single-cell dissection reveals phenotypically distinct B cell subtypes.
- Source :
-
Cell [Cell] 2024 Aug 22; Vol. 187 (17), pp. 4790-4811.e22. Date of Electronic Publication: 2024 Jul 23. - Publication Year :
- 2024
-
Abstract
- Characterizing the compositional and phenotypic characteristics of tumor-infiltrating B cells (TIBs) is important for advancing our understanding of their role in cancer development. Here, we establish a comprehensive resource of human B cells by integrating single-cell RNA sequencing data of B cells from 649 patients across 19 major cancer types. We demonstrate substantial heterogeneity in their total abundance and subtype composition and observe immunoglobulin G (IgG)-skewness of antibody-secreting cell isotypes. Moreover, we identify stress-response memory B cells and tumor-associated atypical B cells (TAABs), two tumor-enriched subpopulations with prognostic potential, shared in a pan-cancer manner. In particular, TAABs, characterized by a high clonal expansion level and proliferative capacity as well as by close interactions with activated CD4 T cells in tumors, are predictive of immunotherapy response. Our integrative resource depicts distinct clinically relevant TIB subsets, laying a foundation for further exploration of functional commonality and diversity of B cells in cancer.<br />Competing Interests: Declaration of interests Z.Z. is a founder of Analytical Bioscience and also serves on the Advisory Board of Cell. All financial interests are unrelated to this study.<br /> (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)
- Subjects :
- Humans
B-Lymphocytes immunology
B-Lymphocytes metabolism
Phenotype
Lymphocytes, Tumor-Infiltrating immunology
Lymphocytes, Tumor-Infiltrating metabolism
CD4-Positive T-Lymphocytes immunology
CD4-Positive T-Lymphocytes metabolism
B-Lymphocyte Subsets immunology
B-Lymphocyte Subsets metabolism
Immunoglobulin G immunology
Immunoglobulin G metabolism
Immunotherapy
Prognosis
Single-Cell Analysis
Neoplasms immunology
Neoplasms pathology
Subjects
Details
- Language :
- English
- ISSN :
- 1097-4172
- Volume :
- 187
- Issue :
- 17
- Database :
- MEDLINE
- Journal :
- Cell
- Publication Type :
- Academic Journal
- Accession number :
- 39047727
- Full Text :
- https://doi.org/10.1016/j.cell.2024.06.038