Non-canonical PD-1 signaling in cancer and its potential implications in clinic.
Non-canonical PD-1 signaling in cancer and its potential implications in clinic.
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癌症中的非经典 PD-1 信号传导及其在临床中的潜在影响
DOI：
10.1136/jitc-2020-001230
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发表时间：
2021-03
影响因子：
10.9
通讯作者：
Li Z
中科院分区：
文献类型：
--
作者：
Zha H;Jiang Y;Wang X;Shang J;Wang N;Yu L;Zhao W;Li Z;An J;Zhang X;Chen H;Zhu B;Li Z
基于程序性细胞死亡1 （PD-1）的免疫疗法已经彻底改变了各种癌症的治疗。然而，只有一组患者受益于PD-1阻断治疗，许多患者死于过度进展的疾病。虽然CD8 T细胞和常规T细胞通常被认为是PD-1在癌症中的主要来源，但越来越多的证据表明，其他不同类型的细胞，包括B细胞、调节性T细胞、自然杀伤细胞、树突状细胞、肿瘤相关巨噬细胞和癌细胞也表达PD-1。因此，癌症患者对PD-1阻断治疗的反应是抗PD-1抗体作用于无数细胞类型的累积效应。虽然CD8 T细胞对PD-1阻断治疗的贡献已经得到证实，但最近的研究也表明非典型PD-1信号通路参与阻断治疗。本文讨论了非典型PD-1信号在不同细胞类型中的作用，并探讨了现有知识如何改善PD-1阻断免疫治疗，特别是在识别新的生物标志物和联合治疗策略方面。
Programmed cell death 1 (PD-1)-based immunotherapy has revolutionized the treatment of various cancers. However, only a certain group of patients benefit from PD-1 blockade therapy and many patients succumb to hyperprogressive disease. Although, CD8 T cells and conventional T cells are generally considered to be the primary source of PD-1 in cancer, accumulating evidence suggests that other distinct cell types, including B cells, regulatory T cells, natural killer cells, dendritic cells, tumor-associated macrophages and cancer cells, also express PD-1. Hence, the response of patients with cancer to PD-1 blockade therapy is a cumulative effect of anti-PD-1 antibodies acting on a myriad of cell types. Although, the contribution of CD8 T cells to PD-1 blockade therapy has been well-established, recent studies also suggest the involvement of non-canonical PD-1 signaling in blockade therapy. This review discusses the role of non-canonical PD-1 signaling in distinct cell types and explores how the available knowledge can improve PD-1 blockade immunotherapy, particularly in identifying novel biomarkers and combination treatment strategies.
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影响因子：
6.2
作者：
Ghazarian AA;Kelly SP;Altekruse SF;Rosenberg PS;McGlynn KA
通讯作者：
McGlynn KA
程序性细胞死亡 1 途径的减弱会增加酵母聚糖诱导的巨噬细胞的 M1 极化
影响因子：
9
作者：
Chen W;Wang J;Jia L;Liu J;Tian Y
通讯作者：
Tian Y
影响因子：
64.8
作者：
Helmink BA;Reddy SM;Gao J;Zhang S;Basar R;Thakur R;Yizhak K;Sade-Feldman M;Blando J;Han G;Gopalakrishnan V;Xi Y;Zhao H;Amaria RN;Tawbi HA;Cogdill AP;Liu W;LeBleu VS;Kugeratski FG;Patel S;Davies MA;Hwu P;Lee JE;Gershenwald JE;Lucci A;Arora R;Woodman S;Keung EZ;Gaudreau PO;Reuben A;Spencer CN;Burton EM;Haydu LE;Lazar AJ;Zapassodi R;Hudgens CW;Ledesma DA;Ong S;Bailey M;Warren S;Rao D;Krijgsman O;Rozeman EA;Peeper D;Blank CU;Schumacher TN;Butterfield LH;Zelazowska MA;McBride KM;Kalluri R;Allison J;Petitprez F;Fridman WH;Sautès-Fridman C;Hacohen N;Rezvani K;Sharma P;Tetzlaff MT;Wang L;Wargo JA
通讯作者：
Wargo JA
影响因子：
7.2
作者：
Du S;McCall N;Park K;Guan Q;Fontina P;Ertel A;Zhan T;Dicker AP;Lu B
通讯作者：
Lu B
影响因子：
64.8
作者：
Cabrita, Rita;Lauss, Martin;Jonsson, Goran
通讯作者：
Jonsson, Goran