Infiltrating treg reprogramming in the tumor immune microenvironment and its optimization for immunotherapy.

IF 9.5 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL
Zhaokai Zhou, Jiaxin Xu, Shutong Liu, Yingying Lv, Ruiqi Zhang, Xing Zhou, Yuyuan Zhang, Siyuan Weng, Hui Xu, Yuhao Ba, Anning Zuo, Xinwei Han, Zaoqu Liu
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引用次数: 0

Abstract

Immunotherapy has shown promising anti-tumor effects across various tumors, yet it encounters challenges from the inhibitory tumor immune microenvironment (TIME). Infiltrating regulatory T cells (Tregs) are important contributors to immunosuppressive TIME, limiting tumor immunosurveillance and blocking effective anti-tumor immune responses. Although depletion or inhibition of systemic Tregs enhances the anti-tumor immunity, autoimmune sequelae have diminished expectations for the approach. Herein, we summarize emerging strategies, specifically targeting tumor-infiltrating (TI)-Tregs, that elevate the capacity of organisms to resist tumors by reprogramming their phenotype. The regulatory mechanisms of Treg reprogramming are also discussed as well as how this knowledge could be utilized to develop novel and effective cancer immunotherapies.

肿瘤免疫微环境中的浸润树突重编程及其对免疫疗法的优化。
免疫疗法在各种肿瘤中都显示出良好的抗肿瘤效果,但它也遇到了来自抑制性肿瘤免疫微环境(TIME)的挑战。浸润性调节性 T 细胞(Tregs)是造成免疫抑制性 TIME 的重要因素,可限制肿瘤免疫监视并阻断有效的抗肿瘤免疫反应。虽然消耗或抑制全身性 Tregs 能增强抗肿瘤免疫力,但自身免疫后遗症降低了人们对这种方法的期望。在此,我们总结了新出现的策略,特别是针对肿瘤浸润(TI)-Tregs的策略,这些策略通过重编程表型来提高生物体抵抗肿瘤的能力。我们还讨论了Treg重编程的调控机制,以及如何利用这些知识开发新型有效的癌症免疫疗法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Biomarker Research
Biomarker Research Biochemistry, Genetics and Molecular Biology-Molecular Medicine
CiteScore
15.80
自引率
1.80%
发文量
80
审稿时长
10 weeks
期刊介绍: Biomarker Research, an open-access, peer-reviewed journal, covers all aspects of biomarker investigation. It seeks to publish original discoveries, novel concepts, commentaries, and reviews across various biomedical disciplines. The field of biomarker research has progressed significantly with the rise of personalized medicine and individual health. Biomarkers play a crucial role in drug discovery and development, as well as in disease diagnosis, treatment, prognosis, and prevention, particularly in the genome era.
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