Hubbard M E, Jove M, Loadman P M, Phillips R M, Twelves C J, Smye S W
School of Mathematical Sciences, The University of Nottingham, University Park, Nottingham NG7 2RD, UK.
Department of Medical Oncology, Leeds Teaching Hospitals NHS Trust, University of Leeds, St James's University Hospital, Leeds LS9 7TF, UK.
R Soc Open Sci. 2017 May 24;4(5):170014. doi: 10.1098/rsos.170014. eCollection 2017 May.
The tumour vasculature and microenvironment is complex and heterogeneous, contributing to reduced delivery of cancer drugs to the tumour. We have developed an model of drug transport in a tumour cord to explore the effect of different drug regimes over a 72 h period and how changes in pharmacokinetic parameters affect tumour exposure to the cytotoxic drug doxorubicin. We used the model to describe the radial and axial distribution of drug in the tumour cord as a function of changes in the transport rate across the cell membrane, blood vessel and intercellular permeability, flow rate, and the binding and unbinding ratio of drug within the cancer cells. We explored how changes in these parameters may affect cellular exposure to drug. The model demonstrates the extent to which distance from the supplying vessel influences drug levels and the effect of dosing schedule in relation to saturation of drug-binding sites. It also shows the likely impact on drug distribution of the aberrant vasculature seen within tumours. The model can be adapted for other drugs and extended to include other parameters. The analysis confirms that computational models can play a role in understanding novel cancer therapies to optimize drug administration and delivery.
肿瘤血管系统和微环境复杂且具有异质性,这导致抗癌药物向肿瘤的递送减少。我们建立了一个肿瘤条索中药物转运模型,以探究不同给药方案在72小时内的效果,以及药代动力学参数的变化如何影响肿瘤对细胞毒性药物阿霉素的暴露。我们使用该模型来描述肿瘤条索中药物的径向和轴向分布,它是跨细胞膜、血管和细胞间通透性的转运速率、流速以及癌细胞内药物结合和解离比率变化的函数。我们探究了这些参数的变化如何影响细胞对药物的暴露。该模型展示了与供应血管的距离对药物水平的影响程度,以及给药方案对药物结合位点饱和情况所产生的影响。它还显示了肿瘤内异常血管系统对药物分布可能产生的影响。该模型可适用于其他药物,并可扩展以纳入其他参数。分析证实,计算模型在理解新型癌症治疗方法以优化药物给药和递送方面可以发挥作用。