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Predictability of B cell clonal persistence and immunosurveillance in breast cancer

  • Stephen John Sammut*
  • , Jacob D. Galson
  • , Ralph Minter
  • , Bo Sun
  • , Suet Feung Chin
  • , Leticia De Mattos-Arruda
  • , Donna K. Finch
  • , Sebastian Schätzle
  • , Jorge Dias
  • , Oscar M. Rueda
  • , Joan Seoane
  • , Jane Osbourn
  • , Carlos Caldas*
  • , Rachael J.M. Bashford-Rogers*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

B cells and T cells are important components of the adaptive immune system and mediate anticancer immunity. The T cell landscape in cancer is well characterized, but the contribution of B cells to anticancer immunosurveillance is less well explored. Here we show an integrative analysis of the B cell and T cell receptor repertoire from individuals with metastatic breast cancer and individuals with early breast cancer during neoadjuvant therapy. Using immune receptor, RNA and whole-exome sequencing, we show that both B cell and T cell responses seem to coevolve with the metastatic cancer genomes and mirror tumor mutational and neoantigen architecture. B cell clones associated with metastatic immunosurveillance and temporal persistence were more expanded and distinct from site-specific clones. B cell clonal immunosurveillance and temporal persistence are predictable from the clonal structure, with higher-centrality B cell antigen receptors more likely to be detected across multiple metastases or across time. This predictability was generalizable across other immune-mediated disorders. This work lays a foundation for prioritizing antibody sequences for therapeutic targeting in cancer.

Original languageEnglish
Pages (from-to)916-924
Number of pages9
JournalNature Immunology
Volume25
Issue number5
DOIs
StatePublished - May 2024
Externally publishedYes

Bibliographical note

Publisher Copyright:
© The Author(s) 2024.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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