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Genetic variation associated with thyroid autoimmunity shapes the systemic immune response to PD-1 checkpoint blockade

Author

Listed:
  • Zia Khan

    (Genentech)

  • Christian Hammer

    (Genentech)

  • Jonathan Carroll

    (Genentech)

  • Flavia Nucci

    (Genentech)

  • Sergio Ley Acosta

    (Genentech)

  • Vidya Maiya

    (Genentech)

  • Tushar Bhangale

    (Genentech)

  • Julie Hunkapiller

    (Genentech)

  • Ira Mellman

    (Genentech)

  • Matthew L. Albert

    (Genentech
    insitro)

  • Mark I. McCarthy

    (Genentech)

  • G. Scott Chandler

    (F. Hoffmann-La Roche)

Abstract

Activation of systemic immune responses using PD-1 checkpoint inhibitors is an essential approach to cancer therapy. Yet, the extent of benefit relative to risk of immune related adverse events (irAE) varies widely among patients. Here, we study endocrine irAE from 7 clinical trials across 6 cancers where atezolizumab (anti-PD-L1) was combined with chemotherapies and compared to standard of care. We show that atezolizumab-induced thyroid dysfunction is associated with longer survival. We construct a polygenic risk score (PRS) for lifetime risk of hypothyroidism using a GWAS from the UK Biobank and apply this PRS to genetic data collected from 2,616 patients of European ancestry from these trials. Patients with high PRS are at increased risk of atezolizumab-induced thyroid dysfunction and lower risk of death in triple negative breast cancer. Our results indicate that genetic variation associated with thyroid autoimmunity interacts with biological pathways driving the systemic immune response to PD-1 blockade.

Suggested Citation

  • Zia Khan & Christian Hammer & Jonathan Carroll & Flavia Nucci & Sergio Ley Acosta & Vidya Maiya & Tushar Bhangale & Julie Hunkapiller & Ira Mellman & Matthew L. Albert & Mark I. McCarthy & G. Scott Ch, 2021. "Genetic variation associated with thyroid autoimmunity shapes the systemic immune response to PD-1 checkpoint blockade," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-23661-4
    DOI: 10.1038/s41467-021-23661-4
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    Cited by:

    1. Gunther Glehr & Paloma Riquelme & Katharina Kronenberg & Robert Lohmayer & Víctor J. López-Madrona & Michael Kapinsky & Hans J. Schlitt & Edward K. Geissler & Rainer Spang & Sebastian Haferkamp & Jame, 2024. "Restricting datasets to classifiable samples augments discovery of immune disease biomarkers," Nature Communications, Nature, vol. 15(1), pages 1-21, December.
    2. Pooja Middha & Rohit Thummalapalli & Michael J. Betti & Lydia Yao & Zoe Quandt & Karmugi Balaratnam & Cosmin A. Bejan & Eduardo Cardenas & Christina J. Falcon & David M. Faleck & Matthew A. Gubens & S, 2024. "Polygenic risk score for ulcerative colitis predicts immune checkpoint inhibitor-mediated colitis," Nature Communications, Nature, vol. 15(1), pages 1-10, December.

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