通过将毒性约束纳入适应性治疗模式,延缓癌症进展
Jana L Gevertz1, Harsh Vardhan Jain2, Irina Kareva3,4
1Department of Mathematics and Statistics, The College of New Jersey, Ewing, NJ, USA. gevertz@tcnj.edu.
NPJ systems biology and applications
|January 7, 2026
概括
通过包括毒性反,可以改善癌症的适应性治疗. 根据毒性或瘤大小指导的战略性治疗中断可以减轻过度治疗并延长无进展的生存期.
科学领域:
- 数学瘤学数学瘤学
- 优化癌症治疗治疗的优化
- 药物耐药性的动态 药物耐药性的动态
背景情况:
- 癌症疗法经常由于毒性或耐药性而失败.
- 适应性治疗,根据瘤负担调整治疗时间,旨在延迟耐药性.
- 当前的适应性协议可能会忽略毒性诱导的断裂,从而有可能允许瘤再生.
研究的目的:
- 调查纳入毒性反是否可以提高适应性治疗的疗效.
- 开发一个数学框架,将毒性纳入适应性治疗设计.
主要方法:
- 开发了一个数学模型来模拟具有毒性反的适应疗法.
- 分析了敏感细胞和耐药细胞之间的竞争的影响.
- 评估了耐药细胞生长率对治疗结果的影响.
主要成果:
- 毒性反基于细胞竞争和耐药性增长率,对治疗疗效进行了关键调节.
- 根据毒性或瘤大小进行战略性治疗中断,可以减轻过度治疗.
- 该模型表明,在各种虚拟患者群体中,进展的时间延长了.
结论:
- 将毒性考虑纳入适应性治疗设计对于优化治疗疗效至关重要.
- 毒性导向的适应性治疗有可能延长无进展的生存期并减少过度治疗.
- 数学建模为个性化癌症治疗策略提供了一个框架.
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