一种基于多个模型的药物开发方法,用于选择瘤病毒的最佳治疗方案,并与 pembrolizumab结合使用
Akihiro Yamada1, Mary P Choules2, Frances A Brightman3
1Astellas Pharma Inc., Tokyo, Japan.
CPT: pharmacometrics & systems pharmacology
|January 8, 2025
概括
这项研究使用建模来优化瘤治疗病毒和免疫疗法组合治疗癌症的剂量. 模型建议在同一天注射病毒和抗PD-1抗体,以获得最佳的抗瘤疗效.
科学领域:
- 在瘤学瘤学.
- 免疫治疗是一种免疫疗法.
- 病毒学 病毒学
- 计算生物学 计算生物学
背景情况:
- 经过基因工程改造的性疫苗病毒 (hIL-7/mIL-12-VV) 显示出抗瘤功效.
- 与抗PD-1抗体的联合治疗需要优化剂量策略.
- 临床前数据表明,服用时间会影响疗效.
研究的目的:
- 为首次对人类进行hIL-7/mIL-12-VV和抗PD-1抗体的临床试验确定最佳的剂量方案.
- 用一种基于模型的药物开发 (MIDD) 方法来选择剂量和治疗方案.
- 在临床环境中预测瘤性病毒和免疫治疗之间的相互作用.
主要方法:
- 开发了一个定量系统药理学 (QSP) 模型和一个基于代理的模型 (ABM).
- 使用文献和临床前数据验证的模型.
- 模拟了虚拟人群的多重剂量场景,改变了给药间隔.
主要成果:
- QSP和ABM模型预测hIL-7/mIL-12-VV和pembrolizumab之间没有对抗作用.
- 模拟表明剂量依赖的抗瘤疗效保持.
- 建议在同一天服用hIL-7/mIL-12-VV和pembrolizumab,以及病毒后的pembrolizumab.
结论:
- 在临床试验中,MIDD策略成功指导了最佳剂量和治疗方案的选择.
- 建模方法为组合疗法设计提供了独特的见解.
- 这些发现支持启动首次在人身上进行临床试验,并制定明确的剂量策略.
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