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基于代理和连续模型的空间动力学感染的瘤病毒
David Morselli1,2,3, Marcello Edoardo Delitala4, Federico Frascoli5
1Department of Mathematical Sciences "G. L. Lagrange", Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Turin, Italy. dmorselli@swin.edu.au.
Bulletin of mathematical biology
|August 31, 2023
概括
针对固体瘤的瘤性病毒疗法是复杂的. 瘤的空间限制显著影响病毒感染的传播,导致不可预测的结果和增加的可变性,这对于个性化癌症治疗设计至关重要.
科学领域:
- 计算生物学 计算生物学
- 癌症研究 癌症研究
- 病毒学 病毒学
背景情况:
- 瘤病毒在癌症治疗方面表现有前途.
- 了解瘤病毒感染的空间动态至关重要,但有限.
- 当前的模型往往简化了瘤微环境的复杂性.
研究的目的:
- 开发和分析基于静态代理的模型,用于固体瘤中的瘤性病毒感染.
- 在不同的运动假设下,将模型预测与连续模型进行比较.
- 研究空间约束和随机性对病毒传播和治疗结果的影响.
主要方法:
- 开发了一种基于感染/未感染细胞和病毒的随机代理模型 (ABM).
- 导出连续极限并将ABM与部分微分方程 (PDE) 模型进行比较.
- 在随机和压力驱动的细胞运动下,在1D和2D中模拟病毒感染动态.
主要成果:
- ABM与不定向细胞运动的连续模型一致.
- 压力驱动的运动显示感染局限于瘤中心,与连续性预测不同.
- 随机性和空间限制导致了不规则的增长模式和入侵挑战.
结论:
- 瘤微环境的空间约束显著影响菌性病毒疗法的疗效.
- 结果变化的增加需要考虑个性化治疗策略.
- 模型强调了基于代理的方法对复杂瘤动态的重要性.
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