药量计和数字双胞胎建模用于在晚期胃癌中适应性安排组合疗法
Michela Prunella1, Nicola Altini1, Rosalba D'Alessandro2
1Department of Electrical and Information Engineering (DEI), Polytechnic University of Bari, BA, 70126, Italy.
这项研究开发了一种药量计模型,以优化组合癌症治疗,找到一种新的疗法,可以减少33%的细胞毒药物使用,同时保持无进展生存 (PFS-2). 另一种疗法在标准剂量下改善了PFS-2的10%以上.
科学领域:
- 药理计量学和计算生物学
- 癌症治疗方法 癌症治疗方法
- 翻译性瘤学 翻译性瘤学
背景情况:
- 优化组合癌症治疗对于改善患者的治疗结果至关重要.
- 目前的临床试验在探索各种药物表和剂量方面存在局限性.
- 药量测量工具提供了一种模拟患者特征和优化治疗策略的方法.
研究的目的:
- 在晚期胃癌中开发Ramucirumab和Paclitaxel联合治疗的药理动力学-药理动力学模型.
- 探索新的药物管理时间表和剂量,以提高疗效和降低毒性.
- 为虚拟患者队列扩展和临床试验设计创建一个in-silico平台.
主要方法:
- 开发了一种药理动力学模型来模拟组合治疗下的瘤生长和血管生成.
- 一个两步算法使用真实世界患者数据 (胃癌队列) 校准模型参数.
- 使用无进展生存 (PFS) -2数据和用于瘤微环境监测的数字生物标志物进行了模型微调.
主要成果:
- 确定了一种新的数学生物标志物,将瘤生长和血管生成与治疗结果相关联.
- 使用33%较少的细胞毒性药物的新疗法实现了与标准方案相比的PFS-2.
- 一种替代疗法在标准剂量下显著延长了PFS-2 (从49.2%增加到60.9%).
结论:
- 建立了一个in-silico定量平台,用于虚拟扩展现实世界患者队列.
- 该模型可以估计组合疗法适应剂量计划的疗效.
- 这种方法可以为癌症治疗的未来临床试验设计提供信息和优化.
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