Drug delivery in a tumour cord model: a computational simulation
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 phar...
| Main Authors: | , , , , , |
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| Format: | Article |
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Royal Society
2017
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| Online Access: | https://eprints.nottingham.ac.uk/43586/ |
| _version_ | 1848796721549672448 |
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| author | Hubbard, Matthew E. Jove, M. Loadman, P.M. Phillips, R.M. Twelves, C.J. Smye, S.W. |
| author_facet | Hubbard, Matthew E. Jove, M. Loadman, P.M. Phillips, R.M. Twelves, C.J. Smye, S.W. |
| author_sort | Hubbard, Matthew E. |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T19:52:29Z |
| format | Article |
| id | nottingham-43586 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:52:29Z |
| publishDate | 2017 |
| publisher | Royal Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-435862020-05-04T18:46:43Z https://eprints.nottingham.ac.uk/43586/ Drug delivery in a tumour cord model: a computational simulation Hubbard, Matthew E. Jove, M. Loadman, P.M. Phillips, R.M. Twelves, C.J. Smye, S.W. 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. Royal Society 2017-05-24 Article PeerReviewed 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 Computational modelling mathematical modelling Drug delivery Drug transport and binding Pharmacokinetic resistance http://rsos.royalsocietypublishing.org/content/4/5/170014 doi:10.1098/rsos.170014 doi:10.1098/rsos.170014 |
| spellingShingle | Computational modelling mathematical modelling Drug delivery Drug transport and binding Pharmacokinetic resistance Hubbard, Matthew E. Jove, M. Loadman, P.M. Phillips, R.M. Twelves, C.J. Smye, S.W. Drug delivery in a tumour cord model: a computational simulation |
| title | Drug delivery in a tumour cord model: a computational simulation |
| title_full | Drug delivery in a tumour cord model: a computational simulation |
| title_fullStr | Drug delivery in a tumour cord model: a computational simulation |
| title_full_unstemmed | Drug delivery in a tumour cord model: a computational simulation |
| title_short | Drug delivery in a tumour cord model: a computational simulation |
| title_sort | drug delivery in a tumour cord model: a computational simulation |
| topic | Computational modelling mathematical modelling Drug delivery Drug transport and binding Pharmacokinetic resistance |
| url | https://eprints.nottingham.ac.uk/43586/ https://eprints.nottingham.ac.uk/43586/ https://eprints.nottingham.ac.uk/43586/ |