Literature DB >> 12445761

Mathematical modelling of drug transport in tumour multicell spheroids and monolayer cultures.

John P Ward1, John R King.   

Abstract

In this paper we adapt an avascular tumour growth model to compare the effects of drug application on multicell spheroids and on monolayer cultures. The model for the tumour is based on nutrient driven growth of a continuum of live cells, whose birth and death generates volume changes described by a velocity field. The drug is modelled as an externally applied, diffusible material capable of killing cells, both linear and Michaelis-Menten kinetics for drug action on cells being studied. Numerical solutions of the resulting system of partial differential equations for the multicell spheroid case are compared with closed form solutions of the monolayer case, particularly with respect to the effects on the cell kill of the drug dosage and of the duration of its application. The results show an enhanced survival rate in multicell spheroids compared to monolayer cultures, consistent with experimental observations, and indicate that the key factor determining this is drug penetration. An analysis of the large time tumour spheroid response to a continuously applied drug at fixed concentration reveals up to three stable large time solutions, namely the trivial solution (i.e. a dead tumour), a travelling wave (continuously growing tumour) and a sublinear growth case in which cells reach a pseudo-steady-state in the core. Each of these possibilities is formulated and studied, with the bifurcations between them being discussed. Numerical solutions reveal that the pseudo-steady-state solutions persist to a significantly higher drug dose than travelling wave solutions.

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Year:  2003        PMID: 12445761     DOI: 10.1016/s0025-5564(02)00148-7

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  22 in total

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3.  A novel individual-cell-based mathematical model based on multicellular tumour spheroids for evaluating doxorubicin-related delivery in avascular regions.

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4.  Anticancer Drug Affects Metabolomic Profiles in Multicellular Spheroids: Studies Using Mass Spectrometry Imaging Combined with Machine Learning.

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Journal:  Anal Chem       Date:  2019-04-15       Impact factor: 6.986

5.  Nonlinear modelling of cancer: bridging the gap between cells and tumours.

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6.  Predicting drug pharmacokinetics and effect in vascularized tumors using computer simulation.

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7.  Integrating cell-cycle progression, drug penetration and energy metabolism to identify improved cancer therapeutic strategies.

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8.  A partial differential equation model and its reduction to an ordinary differential equation model for prostate tumor growth under intermittent hormone therapy.

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9.  Prediction of drug response in breast cancer using integrative experimental/computational modeling.

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Journal:  Cancer Res       Date:  2009-04-14       Impact factor: 12.701

10.  The influence of P-glycoprotein expression and its inhibitors on the distribution of doxorubicin in breast tumors.

Authors:  Krupa J Patel; Ian F Tannock
Journal:  BMC Cancer       Date:  2009-10-06       Impact factor: 4.430

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