Computational modelling of drug delivery to solid tumour: Understanding the interplay between chemotherapeutics and biological system for optimised delivery systems
File(s)ADDR accepted version.pdf (2.76 MB)
Accepted version
Author(s)
Zhan, Wenbo
Alamer, Moath
Xu, Xiao Yun
Type
Journal Article
Abstract
Drug delivery to solid tumour involves multiple physiological, biochemical and biophysical processes taking place across a wide range of length and time scales. The therapeutic efficacy of anticancer drugs is influenced by the complex interplays among the intrinsic properties of tumours, biophysical aspects of drug transport and cellular uptake. Mathematical and computational modelling allows for a well-controlled study on the individual and combined effects of a wide range of parameters on drug transport and therapeutic efficacy, which would not be possible or economically viable through experimental means. A wide spectrum of mathematical models has been developed for the simulation of drug transport and delivery in solid tumours, including PK/PD-based compartmental models, microscopic and macroscopic transport models, and molecular dynamics drug loading and release models. These models have been used as a tool to identify the limiting factors and for optimal design of efficient drug delivery systems. This article gives an overview of the currently available computational models for drug transport in solid tumours, together with their applications to novel drug delivery systems, such as nanoparticle-mediated drug delivery and convection-enhanced delivery.
Date Issued
2018-07-29
Date Acceptance
2018-07-20
Citation
Advanced Drug Delivery Reviews, 2018, 132, pp.81-103
ISSN
0169-409X
Publisher
Elsevier
Start Page
81
End Page
103
Journal / Book Title
Advanced Drug Delivery Reviews
Volume
132
Copyright Statement
© 2018 Elsevier B.V. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/30059703
PII: S0169-409X(18)30179-0
Subjects
Cancer
Drug delivery system
Drug transport
Mathematical modelling
Publication Status
Published
Coverage Spatial
Netherlands
Date Publish Online
2018-07-29