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以程序性细胞死亡蛋白1/程序性细胞死亡配体1检查点抑制剂为基础的新联合策略

New Combination Strategies Using Programmed Cell Death 1/Programmed Cell Death Ligand 1 Checkpoint Inhibitors as a Backbone.

作者信息

Hu-Lieskovan Siwen, Ribas Antoni

机构信息

From the Division of Hematology-Oncology, Department of Medicine, Jonsson Comprehensive Cancer Center at the University of California Los Angeles, Los Angeles, CA.

出版信息

Cancer J. 2017 Jan/Feb;23(1):10-22. doi: 10.1097/PPO.0000000000000246.

Abstract

The discovery of immune checkpoints and subsequent clinical development of checkpoint inhibitors have revolutionized the field of oncology. The durability of the antitumor immune responses has raised the hope for long-term patient survival and potential cure; however, currently, only a minority of patients respond. Combination strategies to help increase antigen release and T-cell priming, promote T-cell activation and homing, and improve the tumor immune microenvironment, all guided by predictive biomarkers, can help overcome the tumor immune-evasive mechanisms and maximize efficacy to ultimately benefit the majority of patients. Great challenges remain because of the complex underlying biology, unpredictable toxicity, and accurate assessment of response. Carefully designed clinical trials guided by translational studies of paired biopsies will be key to develop reliable predictive biomarkers to choose which patients would most likely benefit from each strategy.

摘要

免疫检查点的发现以及随后检查点抑制剂的临床开发彻底改变了肿瘤学领域。抗肿瘤免疫反应的持久性为患者的长期生存和潜在治愈带来了希望;然而,目前只有少数患者有反应。在预测性生物标志物的指导下,有助于增加抗原释放和T细胞启动、促进T细胞活化和归巢以及改善肿瘤免疫微环境的联合策略,可以帮助克服肿瘤免疫逃逸机制并最大限度地提高疗效,最终使大多数患者受益。由于潜在生物学机制复杂、毒性不可预测以及反应评估不准确,仍然存在巨大挑战。由配对活检的转化研究指导的精心设计的临床试验将是开发可靠的预测性生物标志物以选择哪些患者最有可能从每种策略中受益的关键。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba1d/5844278/432d7628cb22/nihms834203f1.jpg

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