Abstract：
Cancer immunotherapy is used to treat tumors by modulating the immune system. Although the anticancer efficacy of cancer immunotherapy has been evaluated prior to clinical trials, conventional in vivo animal and endpoint models inadequately replicate the intricate process of tumor elimination and reflect human-specific immune systems. Therefore, more sophisticated models that mimic the complex tumor-immune microenvironment must be employed to assess the effectiveness of immunotherapy. Additionally, using real-time imaging technology, a step-by-step evaluation can be applied, allowing for a more precise assessment of treatment efficacy. Here, an overview of the various imaging-based evaluation platforms recently developed for cancer immunotherapeutic applications is presented. Specifically, a fundamental technique is discussed for stably observing immune cell-based tumor cell killing using direct imaging, a microwell that reproduces a confined space for spatial observation, a droplet assay that facilitates cell-cell interactions, and a 3D microphysiological system that reconstructs the vascular environment. Furthermore, it is suggested that future evaluation platforms pursue more human-like immune systems.
摘要：
癌症免疫疗法用于通过调节免疫系统来治疗肿瘤。尽管在临床试验之前已经评估了癌症免疫疗法的抗癌功效，传统的体内动物和终点模型不能充分复制肿瘤消除的复杂过程，并反映人类特异性免疫系统。因此,必须采用更复杂的模拟肿瘤-免疫微环境的模型来评估免疫治疗的有效性.此外,使用实时成像技术，可以应用逐步评估，可以更精确地评估治疗效果。这里,我们概述了最近为癌症免疫治疗应用开发的各种基于成像的评估平台.具体来说,我们讨论了使用直接成像稳定观察基于免疫细胞的肿瘤细胞杀伤的基本技术，一个再现空间观察的密闭空间的微孔，促进细胞-细胞相互作用的液滴测定，和重建血管环境的三维微生理系统。此外，我们建议未来的评估平台追求更多类似人类的免疫系统。本文受版权保护。保留所有权利。
