Table of Contents
ISRN Biomathematics
Volume 2012, Article ID 818492, 12 pages
Research Article

An Integrated Multiscale Mechanistic Model for Cancer Drug Therapy

1Department of Radiology, The Methodist Hospital Research Institute, Weill Cornell Medical College of Cornell University, Houston TX 77030, USA
2Department of Automation, University of Science and Technology of China, Hefei 230026, China
3Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031, China
4Department of Computer Science and Technology, Tongji University, Shanghai 200092, China

Received 14 August 2011; Accepted 26 September 2011

Academic Editor: A. Aouacheria

Copyright © 2012 Lei Tang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


In this paper, we established a multiscale mechanistic model for studying drug delivery, biodistribution, and therapeutic effects of cancer drug therapy in order to identify optimal treatment strategies. Due to the specific characteristics of cancer, our proposed model focuses on drug effects on malignant solid tumor and specific internal organs as well as the intratumoral and regional extracellular microenvironments. At the organ level, we quantified drug delivery based on a multicompartmental model. This model will facilitate the analysis and prediction of organ toxicity and provide important pharmacokinetic information with regard to drug clearance rates. For the analysis of intratumoral microenvironment which is directly related to blood drug concentrations and tumor properties, we constructed a drug distribution model using diffusion-convection solute transport to study temporal/spatial variations of drug concentration. With this information, our model incorporates signaling pathways for the analysis of antitumor response with drug combinations at the extracellular level. Moreover, changes in tumor size, cellular proliferation, and apoptosis induced by different drug treatment conditions are studied. Therefore, the proposed multi-scale model could be used to understand drug clinical actions, study drug therapy-antitumor effects, and potentially identify optimal combination drug therapy. Numerical simulations demonstrate the proposed system's effectiveness.