A20 promotes colorectal cancer immune evasion by upregulating STC1 expression to block "eat-me" signal

被引:15
|
作者
Luo, Min [1 ]
Wang, Xueping [1 ]
Wu, Shaocong [1 ]
Yang, Chuan [1 ]
Su, Qiao [2 ]
Huang, Lamei [1 ]
Fu, Kai [1 ]
An, Sainan [1 ]
Xie, Fachao [1 ]
To, Kenneth Kin Wah [3 ]
Wang, Fang [1 ]
Fu, Liwu [1 ]
机构
[1] Sun Yat Sen Univ, Guangdong Esophageal Canc Inst, Collaborat Innovat Ctr Canc Med, Canc Ctr,State Key Lab Oncol South China, Guangzhou 510060, Peoples R China
[2] Sun Yat Sen Univ, Affiliated Hosp 1, Lab Anim Ctr, Guangzhou 510080, Peoples R China
[3] Chinese Univ Hong Kong, Sch Pharm, Hong Kong, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
TUMOR; BURDEN; CELLS;
D O I
10.1038/s41392-023-01545-x
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Immune checkpoint inhibitors (ICIs) have induced durable clinical responses in a subset of patients with colorectal cancer (CRC). However, the dis-satisfactory response rate and the lack of appropriate biomarkers for selecting suitable patients to be treated with ICIs pose a major challenge to current immunotherapies. Inflammation-related molecule A20 is closely related to cancer immune response, but the effect of A20 on "eat-me" signal and immunotherapy efficacy remains elusive. We found that A20 downregulation prominently improved the antitumor immune response and the efficacy of PD-1 inhibitor in CRC in vitro and in vivo. Higher A20 expression was associated with less infiltration of immune cells including CD3 (+), CD8 (+) T cells and macrophages in CRC tissues and also poorer prognosis. Gain- and loss-A20 functional studies proved that A20 could decrease the "eat-me" signal calreticulin (CRT) protein on cell membrane translocation via upregulating stanniocalcin 1 (STC1), binding to CRT and detaining in mitochondria. Mechanistically, A20 inhibited GSK3 beta phosphorylating STC1 at Thr86 to slow down the degradation of STC1 protein. Our findings reveal a new crosstalk between inflammatory molecule A20 and "eat-me" signal in CRC, which may represent a novel predictive biomarker for selecting CRC patients most likely to benefit from ICI therapy.
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页数:13
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