逃避(道德)
癌症研究
免疫系统
铜
化学
生物
免疫学
有机化学
作者
Florida Voli,Emanuele Valli,Luigi Lerra,Kathleen Kimpton,Federica Saletta,Federico M. Giorgi,Daniele Mercatelli,Jourdin R.C. Rouaen,Sylvie Shen,Jayne Murray,Aria Ahmed-Cox,Giuseppe Cirillo,Chelsea Mayoh,Paul A. Beavis,Michelle Haber,Joseph A. Trapani,Maria Kavallaris,Orazio Vittorio
出处
期刊:Cancer Research
[American Association for Cancer Research]
日期:2020-08-18
卷期号:80 (19): 4129-4144
被引量:252
标识
DOI:10.1158/0008-5472.can-20-0471
摘要
Abstract Therapeutic checkpoint antibodies blocking programmed death receptor 1/programmed death ligand 1 (PD-L1) signaling have radically improved clinical outcomes in cancer. However, the regulation of PD-L1 expression on tumor cells is still poorly understood. Here we show that intratumoral copper levels influence PD-L1 expression in cancer cells. Deep analysis of the The Cancer Genome Atlas database and tissue microarrays showed strong correlation between the major copper influx transporter copper transporter 1 (CTR-1) and PD-L1 expression across many cancers but not in corresponding normal tissues. Copper supplementation enhanced PD-L1 expression at mRNA and protein levels in cancer cells and RNA sequencing revealed that copper regulates key signaling pathways mediating PD-L1–driven cancer immune evasion. Conversely, copper chelators inhibited phosphorylation of STAT3 and EGFR and promoted ubiquitin-mediated degradation of PD-L1. Copper-chelating drugs also significantly increased the number of tumor-infiltrating CD8+ T and natural killer cells, slowed tumor growth, and improved mouse survival. Overall, this study reveals an important role for copper in regulating PD-L1 and suggests that anticancer immunotherapy might be enhanced by pharmacologically reducing intratumor copper levels. Significance: These findings characterize the role of copper in modulating PD-L1 expression and contributing to cancer immune evasion, highlighting the potential for repurposing copper chelators as enhancers of antitumor immunity.
科研通智能强力驱动
Strongly Powered by AbleSci AI