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Drug delivery in a tumour cord model: a computational simulation.
M E Hubbard1, M Jove2, P M Loadman3
1School of Mathematical Sciences, The University of Nottingham, University Park, Nottingham NG7 2RD, UK.
Royal Society Open Science
|June 3, 2017
Summary
This study models doxorubicin transport in tumors, revealing how drug delivery is impacted by tumor microenvironment and dosing schedules. Computational models can optimize cancer drug administration for better therapeutic outcomes.
Area of Science:
- Pharmacology
- Computational Biology
- Oncology
Background:
- Tumor vasculature and microenvironment complexity hinder cancer drug delivery.
- Heterogeneity within tumors leads to reduced drug efficacy.
Purpose of the Study:
- To develop an in silico model of drug transport in a tumor cord.
- To explore the effects of drug regimes and pharmacokinetic parameters on doxorubicin exposure over 72 hours.
Main Methods:
- Utilized an in silico model to simulate drug distribution within a tumor cord.
- Analyzed radial and axial drug distribution based on varying transport rates, permeability, flow rate, and drug binding.
- Investigated cellular drug exposure in relation to distance from blood vessels and drug-binding site saturation.
Main Results:
- Model demonstrated how distance from supplying vessels affects drug levels.
- Showcased the impact of dosing schedules on drug-binding site saturation.
- Illustrated the influence of aberrant tumor vasculature on drug distribution.
Conclusions:
- Computational models are valuable tools for understanding cancer therapies.
- The developed model can be adapted for other drugs and parameters.
- Optimizing drug administration and delivery is crucial for enhancing cancer treatment efficacy.
Keywords:
computational modellingdrug deliverydrug transport and bindingmathematical modellingpharmacokinetic resistance
