Stanniocalcin 1 is a phagocytosis checkpoint driving tumor immune resistance.
Stanniocalcin 1 is a phagocytosis checkpoint driving tumor immune resistance.
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DOI:
10.1016/j.ccell.2020.12.023
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发表时间:
2021-04-12
期刊:
影响因子:
50.3
通讯作者:
Zou W
中科院分区:
文献类型:
--
作者:
Lin H;Kryczek I;Li S;Green MD;Ali A;Hamasha R;Wei S;Vatan L;Szeliga W;Grove S;Li X;Li J;Wang W;Yan Y;Choi JE;Li G;Bian Y;Xu Y;Zhou J;Yu J;Xia H;Wang W;Alva A;Chinnaiyan AM;Cieslik M;Zou W
Immunotherapy induces durable clinical responses in a fraction of patients with cancer. However, therapeutic resistance poses a major challenge to current immunotherapies. Here, we identify that expression of tumor stanniocalcin 1 (STC1) correlates with immunotherapy efficacy and is negatively associated with patient survival across diverse cancer types. Gain- and loss- of-function experiments demonstrate that tumor STC1 supports tumor progression and enables tumor resistance to checkpoint blockade in murine tumor models. Mechanistically, tumor STC1 interacts with calreticulin (CRT), an “eat-me” signal, and minimizes CRT membrane exposure - thereby abrogating membrane CRT-directed phagocytosis by antigen-presenting-cells (APCs), including macrophages and dendritic cells. Consequently, this impairs APC capacity of antigen presentation and T cell activation. Thus, tumor STC1 inhibits APC phagocytosis and contributes to tumor immune evasion and immunotherapy resistance. We suggest that STC1 is a previously unappreciated phagocytosis checkpoint and targeting STC1 and its interaction with CRT may sensitize to cancer immunotherapy. Lin et al. demonstrate tumor stanniocalcin-1 functions as an intracellular “eat-me” signal blocker by trapping calreticulin and impairs APC phagocytosis and T cell activation. Tumor stanniocalcin-1 negatively correlates with immunotherapy efficacy and patient survival.
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影响因子:
64.8
作者:
Manguso RT;Pope HW;Zimmer MD;Brown FD;Yates KB;Miller BC;Collins NB;Bi K;LaFleur MW;Juneja VR;Weiss SA;Lo J;Fisher DE;Miao D;Van Allen E;Root DE;Sharpe AH;Doench JG;Haining WN
通讯作者:
Haining WN
DOI:
10.1093/bioinformatics/btu638
发表时间:
2015-01-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Anders S;Pyl PT;Huber W
通讯作者:
Huber W
影响因子:
64.8
作者:
Houde, M;Bertholet, S;Desjardins, M
通讯作者:
Desjardins, M
影响因子:
64.5
作者:
Majeti R;Chao MP;Alizadeh AA;Pang WW;Jaiswal S;Gibbs KD Jr;van Rooijen N;Weissman IL
通讯作者:
Weissman IL
DOI:
10.1038/s41577-019-0218-4
发表时间:
2020-01
期刊:
Nature reviews. Immunology
影响因子:
--
作者:
Kalbasi A;Ribas A
通讯作者:
Ribas A