Suppr超能文献

TLR5 激动剂增强抗肿瘤免疫并克服免疫检查点治疗耐药性。

TLR5 agonists enhance anti-tumor immunity and overcome resistance to immune checkpoint therapy.

机构信息

Department of Cancer Systems Imaging, University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.

Chonnam National University Medical School, Gwangju, South Korea.

出版信息

Commun Biol. 2023 Jan 12;6(1):31. doi: 10.1038/s42003-022-04403-8.

Abstract

Primary and adaptive resistance to immune checkpoint therapies (ICT) represent a considerable obstacle to achieving enhanced overall survival. Innate immune activators have been actively pursued for their antitumor potential. Herein we report that a syngeneic 4T1 mammary carcinoma murine model for established highly-refractory triple negative breast cancer showed enhanced survival when treated intra-tumorally with either the TLR5 agonist flagellin or CBLB502, a flagellin derivative, in combination with antibodies targeting CTLA-4 and PD-1. Long-term survivor mice showed immunologic memory upon tumor re-challenge and a distinctive immune activating cytokine profile that engaged both innate and adaptive immunity. Low serum levels of G-CSF and CXCL5 (as well as high IL-15) were candidate predictive biomarkers correlating with enhanced survival. CBLB502-induced enhancement of ICT was also observed in poorly immunogenic B16-F10 melanoma tumors. Combination immune checkpoint therapy plus TLR5 agonists may offer a new therapeutic strategy to treat ICT-refractory solid tumors.

摘要

原发和适应性耐药性对免疫检查点治疗(ICT)构成了实现整体生存改善的重大障碍。先天免疫激活剂因其抗肿瘤潜力而受到积极研究。在此,我们报告称,一种用于已建立的高度难治性三阴性乳腺癌的同基因 4T1 乳腺肿瘤鼠模型,当用 TLR5 激动剂鞭毛蛋白或鞭毛蛋白衍生物 CBLB502 联合针对 CTLA-4 和 PD-1 的抗体进行肿瘤内治疗时,显示出生存时间延长。长期存活的小鼠在肿瘤再次挑战时表现出免疫记忆,并表现出独特的免疫激活细胞因子谱,涉及先天和适应性免疫。低血清水平的 G-CSF 和 CXCL5(以及高 IL-15)是与生存改善相关的候选预测性生物标志物。在免疫原性差的 B16-F10 黑色素瘤肿瘤中也观察到 CBLB502 诱导的 ICT 增强。联合免疫检查点治疗加 TLR5 激动剂可能为治疗 ICT 耐药性实体瘤提供新的治疗策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5f5/9837180/181c2c911818/42003_2022_4403_Fig1_HTML.jpg

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