CD81 通过阻断 CD274/PD-L1 的选择性自噬降解驱动放射抵抗性胶质母细胞瘤的免疫逃逸
CD81 drives immune evasion in radioresistant glioblastoma by blocking selective autophagic degradation of CD274/PD-L1.
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Longitudinal, label-free, high-resolution imaging of glioblastoma spheroid response to therapy: a translational tool for preclinical evaluation of chemotherapy, radiation, and immunotherapy.
Longitudinal, label-free, high-resolution imaging of glioblastoma spheroid response to therapy: a translational tool for preclinical evaluation of chemotherapy, radiation, and immunotherapy.
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胶质母细胞瘤(GBM)是一种侵袭性脑肿瘤,治疗方案有限,患者生存率低,这凸显了对新型治疗策略和改进的临床前模型的迫切需求。患者来源的肿瘤球(PDTSs)提供了一种生理相关的体外平台,用于评估嵌合抗原受体(CAR)T 细胞疗法、化疗和放疗等治疗手段。
然而,在监测 GBM PDTSs 复杂的三维(3D)微环境方面仍存在重大挑战。目前用于此目的的成像技术主要是终点分析,缺乏关键的实时、非侵入性能力,最终无法实现纵向和连续监测。
在本研究中,我们引入定量斜向背照显微镜(qOBM)作为一种无标记、非侵入性的成像方法,用于在治疗过程中对 GBM PDTSs 进行纵向和连续的高分辨率监测。qOBM 通过利用基于断层折射率的定量成像,能够实时可视化细胞过程,包括凋亡、细胞迁移和 T 细胞介导的细胞毒性。
我们构建了一个可置于常规培养箱内的紧凑型 qOBM 系统,并将其应用于研究放疗、化疗和免疫治疗对三种患者来源 GBM 细胞系的影响,在 72 小时治疗期内提取静态和动态图像特征。
此外,我们开发了机器学习模型来预测肿瘤球活力和细胞毒性,展示了 qOBM 在增强治疗评估方面的潜力。我们的发现确立了qOBM作为一种强大的工具,用于长期和连续的球体监测,提供了一种非破坏性、高分辨率的替代传统终点检测方法,并改善了GBM临床前治疗的评估。
Glioblastoma (GBM) is an aggressive brain tumor with limited treatment options and poor patient survival, underscoring the need for novel, to our knowledge, therapeutic strategies and improved preclinical models. Patient-derived tumor spheroids (PDTSs) offer a physiologically relevant in vitro platform for evaluating treatments such as chimeric antigen receptor (CAR) T cell therapy, chemotherapy, and radiation.
However, significant challenges remain in monitoring the complex three-dimensional (3D) microenvironment of the GBM PDTSs. Current imaging techniques used for this purpose are primarily endpoint analyses which lack critical real-time, non-invasive capabilities that ultimately preclude longitudinal and continuous monitoring.
In this study, we introduce quantitative oblique back-illumination microscopy (qOBM) as a label-free and non-invasive imaging approach for longitudinal and continuous, high-resolution monitoring of GBM PDTSs during treatment. qOBM enables real-time visualization of cellular processes, including apoptosis, cell migration, and T cell-mediated cytotoxicity by leveraging tomographic refractive index-based quantitative imaging.
We construct a compact qOBM system that fits within common incubators and apply it to study the effects of radiation, chemotherapy, and immunotherapy on three patient-derived GBM cell lines, extracting both static and dynamic image features over a 72 h treatment period.
Additionally, we develop machine learning models to predict spheroid viability and cytotoxicity, demonstrating the potential of qOBM to enhance treatment evaluation.
Our findings establish qOBM as a powerful tool for longitudinal and continuous spheroid monitoring, offering a non-destructive, high-resolution alternative to conventional endpoint assays and improving the evaluation of preclinical treatments for GBM.
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