封锁
免疫疗法
免疫学
免疫系统
外围设备
免疫检查点
干扰素
结果(博弈论)
医学
受体
内科学
数学
数理经济学
作者
Giselle M. Boukhaled,Ramy Gadalla,Heidi Elsaesser,Diala Abd-Rabbo,Rene Quevedo,S.Y. Cindy Yang,Mengdi Guo,Ben X. Wang,Babak Noamani,Diana Gray,Sally C. M. Lau,Kirsty Taylor,Kyaw Aung,Anna Spreafico,Aaron R. Hansen,Samuel D. Saibil,Naoto Hirano,Cynthia J. Guidos,Trevor J. Pugh,Tracy L. McGaha
出处
期刊:Nature Immunology
[Nature Portfolio]
日期:2022-07-14
卷期号:23 (8): 1273-1283
被引量:35
标识
DOI:10.1038/s41590-022-01262-7
摘要
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.
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