基于机理数据的多尺度定量系统药理学建模框架使CAR-T治疗在实体瘤中的临床转化和疗效评估成为可能
Siyuan Yang1, Wenjie Wang2, Qi Rao1
1School of Pharmacy, Nanjing Medical University, Nanjing, Jiangsu, China.
Journal for immunotherapy of cancer
|October 9, 2025
概括
定量系统药理 (QSP) 模型可以改善固体瘤的仿真抗原受体 (CAR) -T细胞疗法. 这种方法结合了生物学因素来预测CAR-T细胞的行为和患者的反应,有助于临床翻译.
科学领域:
- 免疫学 免疫学 免疫学
- 药理学 药理学是指药理学的学科.
- 计算生物学 计算生物学
背景情况:
- 化学抗原受体 (CAR) -T细胞疗法在癌症治疗中表现有前途,但在固体瘤中面临挑战.
- 固体瘤CAR-T疗法的临床前转化受到细胞特异性因素和患者变异性的阻碍.
研究的目的:
- 开发一个多尺度定量系统药理学 (QSP) 模型,以促进CAR-T疗法在固体瘤中的临床转化.
- 整合影响CAR-T细胞命运和抗瘤细胞毒性的基本生物特征.
主要方法:
- 开发了一种机械QSP建模框架,整合了细胞层面的相互作用,体内动态和患者特异性因素.
- 使用多模式临床前和临床数据对模型进行校准和验证,包括一种新型的claudin18.2-targeted CAR-T产品 (LB1908).
主要成果:
- 证明了该框架在促进临床转化和表征CAR-T细胞动力学-细胞毒性反应在固体瘤中的实用性.
- 基于模型生成的虚拟患者模拟了对claudin18.2向的CAR-T疗法的反应,在各种剂量策略下,为临床试验设计提供了信息.
结论:
- 开发的翻译QSP平台整合了多层面的知识,用于在固体瘤CAR-T疗法中做出明智的临床决策.
- 这种方法提供了一条创新的途径,以推进对固体瘤的CAR-T细胞疗法.
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