在药物诱导的可塑性下对抗癌症治疗的最佳剂量
Einar Bjarki Gunnarsson1,2, Benedikt Vilji Magnússon3, Jasmine Foo4
1Division of Applied Mathematics, Science Institute, University of Iceland, Reykjavik, Iceland. ebg@hi.is.
NPJ systems biology and applications
|August 24, 2025
概括
这项研究表明,最佳的癌症治疗包括通过管理非遗传药物耐受性来平衡细胞杀死和耐药性. 最好的剂量策略,无论是持续的低剂量还是间歇性高剂量,取决于细胞变得多快.
科学领域:
- 癌症生物学
- 表观遗传学
- 数学瘤学
背景情况:
- 癌症越来越多地被认为与遗传因素一起涉及非遗传 (表观遗传) 机制.
- 传统的高剂量癌症疗法可能会促进非遗传性耐药性,
- 这需要重新评估药物诱导的细胞可塑性的治疗策略.
研究的目的:
- 根据药物诱导的细胞可塑性和非遗传性耐药性,研究最佳的抗癌治疗剂量策略.
- 确定如何平衡瘤细胞的死亡与药物耐受性的诱导.
- 探索患者特定治疗见解的发展.
主要方法:
- 对抗癌症治疗动态的数学建模
- 在不同的药物剂量方案下分析瘤的演变.
- 调查直接杀死细胞和促进药物耐受性状态之间的权衡.
主要成果:
- 最佳的剂量策略可以在药物敏感和耐药的癌细胞之间建立稳定的平衡.
- 理想的策略是平衡瘤的立即减少与耐药性的长期管理.
- 最佳剂量可从持续的低剂量治疗到间歇的高剂量治疗,这取决于耐受性诱导率.
结论:
- 由于促进非遗传性耐药性,传统的高剂量策略可能是不理想的.
- 一种动态平衡的剂量方法可以有效地管理癌症治疗和耐药性.
- 整合这种模型与实验数据可以个性化癌症治疗.
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