Pre-encoded responsiveness to type I interferon in the peripheral immune system defines outcome of PD1 blockade therapy

Type I interferons (IFN-Is) are central regulators of anti-tumor immunity and responses to immunotherapy, but they also drive the feedback inhibition underlying therapeutic resistance. In the present study, we developed a mass cytometry approach to quantify IFN-I-stimulated protein expression across...

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Veröffentlicht in:Nature immunology 2022-08, Vol.23 (8), p.1273-1283
Hauptverfasser: Boukhaled, Giselle M., Gadalla, Ramy, Elsaesser, Heidi J., Abd-Rabbo, Diala, Quevedo, Rene, Yang, S. Y. Cindy, Guo, Mengdi, Wang, Ben X., Noamani, Babak, Gray, Diana, Lau, Sally C. M., Taylor, Kirsty, Aung, Kyaw, Spreafico, Anna, Hansen, Aaron R., Saibil, Samuel D., Hirano, Naoto, Guidos, Cynthia, Pugh, Trevor J., McGaha, Tracy L., Ohashi, Pamela S., Sacher, Adrian G., Butler, Marcus O., Brooks, David G.
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Sprache:eng
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Zusammenfassung:Type I interferons (IFN-Is) are central regulators of anti-tumor immunity and responses to immunotherapy, but they also drive the feedback inhibition underlying therapeutic resistance. In the present study, we developed a mass cytometry approach to quantify IFN-I-stimulated protein expression across immune cells and used multi-omics to uncover pre-therapy cellular states encoding responsiveness to inflammation. Analyzing peripheral blood cells from multiple cancer types revealed that differential responsiveness to IFN-Is before anti-programmed cell death protein 1 (PD1) treatment was highly predictive of long-term survival after therapy. Unexpectedly, IFN-I hyporesponsiveness efficiently predicted long-term survival, whereas high responsiveness to IFN-I was strongly associated with treatment failure and diminished survival time. Peripheral IFN-I responsive states were not associated with tumor inflammation, identifying a disconnect between systemic immune potential and ‘cold’ or ‘hot’ tumor states. Mechanistically, IFN-I responsiveness was epigenetically imprinted before therapy, poising cells for differential inflammatory responses and dysfunctional T cell effector programs. Thus, we identify physiological cell states with clinical importance that can predict success and long-term survival of PD1-blocking immunotherapy. Predicting which patients will respond to checkpoint blocking therapies is a major challenge. Here the authors score the epigenetic imprinting of T cell responsiveness to type 1 interferons and use this information to predict response to anti-PD1 therapy and long-term survival of cancer patients.
ISSN:1529-2908
1529-2916
DOI:10.1038/s41590-022-01262-7