利用免疫检查点抑制剂、T 细胞和疫苗进行个性化癌症免疫疗法的最新进展。

Personalized medicine Pub Date : 2024-01-01 Epub Date: 2023-12-13 DOI:10.2217/pme-2023-0054
Elnaz Faghfuri
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引用次数: 0

摘要

癌症患者的基因组和分子图谱分析结果可有效应用于免疫疗法药物,包括免疫检查点抑制剂(ICI),以选择最合适的治疗方法。此外,准确预测新抗原也有助于开发个体化癌症疫苗和 T 细胞疗法。本综述总结了预测对 ICIs 反应的生物标志物,并重点介绍了目前识别和分离新抗原反应 T 细胞的策略以及基于新抗原疗法的临床开发。研究结果表明,通过增强抗原递呈细胞功能和淋巴结中最佳T细胞引物的联合疗法,可以实现最大程度的T细胞刺激和扩增。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recent advances in personalized cancer immunotherapy with immune checkpoint inhibitors, T cells and vaccines.

The results of genomic and molecular profiling of cancer patients can be effectively applied to immunotherapy agents, including immune checkpoint inhibitors, to select the most appropriate treatment. In addition, accurate prediction of neoantigens facilitates the development of individualized cancer vaccines and T-cell therapy. This review summarizes the biomarker(s) predicting responses to immune checkpoint inhibitors and focuses on current strategies to identify and isolate neoantigen-reactive T cells as well as the clinical development of neoantigen-based therapeutics. The results suggest that maximal T-cell stimulation and expansion can be achieved with combination therapies that enhance antigen-presenting cells' function and optimal T-cell priming in lymph nodes.

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