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 |
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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. |
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ISSN: | 1529-2908 1529-2916 |
DOI: | 10.1038/s41590-022-01262-7 |