Drug delivery in a tumour cord model: a computational simulation

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Hubbard, Matthew E., Jove, M., Loadman, P.M., Phillips, R.M., Twelves, C.J. and Smye, S.W. (2017) Drug delivery in a tumour cord model: a computational simulation. Royal Society Open Science, 4 . p. 170014. ISSN 2054-5703

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Abstract

The tumour vasculature and microenvironment is complex and heterogeneous, contributing to reduced delivery of cancer drugs to the tumour. We have developed an in silico 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 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 optimise drug administration and delivery.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/861669
Keywords: Computational modelling, mathematical modelling, Drug delivery, Drug transport and binding, Pharmacokinetic resistance
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Mathematical Sciences
Identification Number: https://doi.org/10.1098/rsos.170014
Depositing User: Hubbard, Matthew
Date Deposited: 16 Jun 2017 12:17
Last Modified: 04 May 2020 18:46
URI: https://eprints.nottingham.ac.uk/id/eprint/43586

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