Literature DB >> 10625582

A mathematical model of drug transport in human breast cancer.

J Lankelma1, R Fernández Luque, H Dekker, W Schinkel, H M Pinedo.   

Abstract

A mathematical model of drug transport in tissue has been developed on the basis of a clinical study of patients with breast cancer, treated with the drug doxorubicin and of drug transport experiments using cultured human breast cancer cells. The clinical study revealed doxorubicin gradients in tumor islets of densely packed cancer cells. The mathematical model allows simultaneous drug transport through the cellular network (transcellular pathway), through the intercellular interstitium (paracellular pathway), and across the boundary between the two networks. The effective diffusion coefficient of the interstitial network is found to be much higher than that of the cellular network, in spite of the fact that the interstitium thickness is only 20-40 nm. The model simulations can be made to fit the results of the clinical study. A long-continued simulation (40 days) of drug transport into a spherical islet with a radius of 150 microm, after a bolus injection of doxorubicin, reveals that the maximum average drug concentration at the islet centre is only reached after 224 h, while it decreases by a factor 15 from the boundary to the centre of the islet. The area under the curve in a plot of the average drug concentration versus time only decreases by 10% from the boundary to the centre of the islet. Copyright 2000 Academic Press.

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Year:  2000        PMID: 10625582     DOI: 10.1006/mvre.1999.2218

Source DB:  PubMed          Journal:  Microvasc Res        ISSN: 0026-2862            Impact factor:   3.514


  11 in total

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Journal:  Biol Direct       Date:  2010-04-20       Impact factor: 4.540

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Authors:  Raja Venkatasubramanian; Michael A Henson; Neil S Forbes
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7.  Mathematical and computational models of drug transport in tumours.

Authors:  C M Groh; M E Hubbard; P F Jones; P M Loadman; N Periasamy; B D Sleeman; S W Smye; C J Twelves; R M Phillips
Journal:  J R Soc Interface       Date:  2014-03-12       Impact factor: 4.118

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Authors:  Colin L Walsh; Brett M Babin; Rachel W Kasinskas; Jean A Foster; Marissa J McGarry; Neil S Forbes
Journal:  Lab Chip       Date:  2008-11-21       Impact factor: 6.799

9.  Mathematical Modelling and Prediction of the Effect of Chemotherapy on Cancer Cells.

Authors:  Hamidreza Namazi; Vladimir V Kulish; Albert Wong
Journal:  Sci Rep       Date:  2015-08-28       Impact factor: 4.379

10.  Mathematical Based Calculation of Drug Penetration Depth in Solid Tumors.

Authors:  Hamidreza Namazi; Vladimir V Kulish; Albert Wong; Sina Nazeri
Journal:  Biomed Res Int       Date:  2016-06-08       Impact factor: 3.411

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