Suppr超能文献

低剂量JAK3抑制可改善抗肿瘤T细胞免疫和免疫治疗疗效。

Low-Dose JAK3 Inhibition Improves Antitumor T-Cell Immunity and Immunotherapy Efficacy.

作者信息

Dammeijer Floris, van Gulijk Mandy, Klaase Larissa, van Nimwegen Menno, Bouzid Rachid, Hoogenboom Robin, Joosse Maria E, Hendriks Rudi W, van Hall Thorbald, Aerts Joachim G

机构信息

Department of Pulmonary Medicine, Erasmus MC, University Medical Center Rotterdam, the Netherlands.

Erasmus MC Cancer Institute, Erasmus MC, University Medical Center Rotterdam, the Netherlands.

出版信息

Mol Cancer Ther. 2022 Sep 6;21(9):1393-1405. doi: 10.1158/1535-7163.MCT-21-0943.

Abstract

Terminal T-cell exhaustion poses a significant barrier to effective anticancer immunotherapy efficacy, with current drugs aimed at reversing exhaustion being limited. Recent investigations into the molecular drivers of T-cell exhaustion have led to the identification of chronic IL2 receptor (IL2R)-STAT5 pathway signaling in mediating T-cell exhaustion. We targeted the key downstream IL2R-intermediate JAK 3 using a clinically relevant highly specific JAK3-inhibitor (JAK3i; PF-06651600) that potently inhibited STAT5-phosphorylation in vitro. Whereas pulsed high-dose JAK3i administration inhibited antitumor T-cell effector function, low-dose chronic JAK3i significantly improved T-cell responses and decreased tumor load in mouse models of solid cancer. Low-dose JAK3i combined with cellular and peptide vaccine strategies further decreased tumor load compared with both monotherapies alone. Collectively, these results identify JAK3 as a novel and promising target for combination immunotherapy.

摘要

终末T细胞耗竭对有效的抗癌免疫治疗疗效构成了重大障碍,目前旨在逆转耗竭的药物有限。最近对T细胞耗竭分子驱动因素的研究已导致在介导T细胞耗竭中鉴定出慢性白细胞介素2受体(IL2R)-信号转导子和转录激活子5(STAT5)信号通路。我们使用一种临床相关的高度特异性JAK3抑制剂(JAK3i;PF-06651600)靶向关键的下游IL2R中间物JAK 3,该抑制剂在体外能有效抑制STAT5磷酸化。虽然脉冲高剂量JAK3i给药会抑制抗肿瘤T细胞效应功能,但低剂量慢性JAK3i能显著改善T细胞反应并降低实体癌小鼠模型中的肿瘤负荷。与单独的两种单一疗法相比,低剂量JAK3i与细胞和肽疫苗策略联合使用可进一步降低肿瘤负荷。总体而言,这些结果表明JAK3是联合免疫治疗的一个新的且有前景的靶点。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验