在转移性胃肠癌中对计量化学疗法反应的数学分析:从临床数据中确定关键参数
Maria Laura Manca1, Alessandro Michelangeli2,3,4, Guido Bocci5
1Department of Clinical & Experimental Medicine, University of Pisa, and Hospital-University of Pisa, Pisa, Italy. laura.manca@unipi.it.
Scientific reports
|January 11, 2026
概括
本研究将数学模型应用于胃肠道癌症患者的计量化学疗法. 该模型显示了识别生物标志物和理解瘤动态的潜力,尽管长期结果预测需要进一步验证.
科学领域:
- 在瘤学瘤学.
- 数学生物学 数学生物学
- 药理动力学是什么 药理动力学
背景情况:
- 计量化学疗法提供了一种剂量策略,具有潜在的降低毒性.
- 数学建模可以阐明复杂的瘤微环境相互作用.
- 对计量化学疗法的预测模型的临床应用是有限的.
研究的目的:
- 将施特勒数学框架应用于转移性胃肠癌患者的临床数据.
- 评估人工智能辅助优化的可行性,以便将模型与患者数据相匹配.
- 在模型参数中确定疾病进展的潜在生物标志物.
主要方法:
- 利用了30名患有转移性胃肠癌的患者的数据 (COMET试验).
- 采用了一个数学模型,用三个合的普通微分方程 (ODEs) 和12个参数.
- 应用人工智能辅助优化,使模型与个体患者数据相匹配.
主要成果:
- 成功将模型与具有较低拟合误差 (中位方误差<0.007) 的患者数据相匹配.
- 确定了生长控制参数 ξ 作为一种潜在的生物标志物,可以区分稳定性和进展性疾病.
- 观察到较低的药物效应参数 (0.003-0.09),与最近的试验中适度的临床益处一致.
结论:
- 施泰勒框架在计量化学疗法中的临床应用是可行的.
- 参数估计需要外部验证才能在临床实施.
- 需要对更大的队列进行进一步的研究,以完善无进展生存的预测能力.
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