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The journal publishes full research papers.[Read More]
 
IJPMBS 2023 Vol.12(3): 40-47
doi: 10.18178/ijpmbs.12.3.40-47

Optimizing the Anticancer Effect of Doxil Using Pharmacokinetic and Pharmacodynamic Modelling

Cherong Ma1,*, Zekai Guo1, Zhiyin Liang1, and Virgia Wang2
1. Shenzhen College of International Education, Shenzhen, China
2. Shanghai Jiao Tong University, Shanghai, China
*Correspondence: macherongring@outlook.com (C.M.)

Manuscript received March 8, 2023; revised May 15, 2023; accepted May 25, 2023.

Abstract—Liposomal Dox, Doxil, enhances the antitumor effect of Doxorubicin by increasing its delivery ability to tumors. Therefore, quantitative studies on the relationship between the antitumor effect and liposomal characteristics will help to optimize the clinical application of Doxil in cancer treatment. Herein, we develop a physiological model to compute the pharmacokinetics and pharmacodynamics of Doxil, to calculate the time course of free Dox in the tumor space and linked this with a cell-killing kinetic model to quantify its anticancer effect. In this research, the two models utilize parametric figures of drug transportation in anatomical compartments, including plasma, capillary, interstitial, and tumor cells, to simulate the relationships between intravenously injected Dox and Doxil. Furthermore, simulations are performed to discuss the relationship between the anticancer effect and physicochemical properties, by comparing pharmacological parameters of Doxil.
 
Keywords—Dox (Doxorubicin), liposome, cancer treatment, chemotherapy, drug delivery system, pharmacokinetics, pharmacodynamics, antitumor effect, computational modelling, simulation, physical alternation, proliferation rate, clearance rate

Cite: Cherong Ma, Zekai Guo, Zhiyin Liang, and Virgia Wang , "Optimizing the Anticancer Effect of Doxil Using Pharmacokinetic and Pharmacodynamic Modelling," International Journal of Pharma Medicine and Biological Sciences, Vol. 12, No. 3, pp. 40-47, July 2023. 

Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.
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