Literature DB >> 10469906

Optimization of antitumor effect of liposomally encapsulated doxorubicin based on simulations by pharmacokinetic/pharmacodynamic modeling.

H Harashima1, S Iida, Y Urakami, M Tsuchihashi, H Kiwada.   

Abstract

It has been reported that long circulating liposomes enhanced the antitumor effect of doxorubicin (DOX) by increasing delivery of DOX to tumor tissues. However, there is no quantitative information on the relationship between the antitumor effect and liposomal characteristics governing the release rate of entrapped drugs, although the importance of drug release-rate control from liposomes has been pointed out. Here, we developed a physiological model for free and liposomal DOX to calculate the time course of free DOX in the extracellular space and linked this with a cell kill kinetic model to quantify the antitumor effect of DOX. Simulations were performed to clarify the relationship between antitumor effect and pharmacokinetic or physicochemical parameters of liposomes, as well as pharmacological or physiological parameters of tumor tissues. The importance of long circulation time of liposomes was confirmed. The optimum rate of drug release from long circulating liposomes was found at the release rate constant of around 0.06 h(-1). This optimum value was not dependent on the tumor proliferation time, sensitivity of tumor cells to DOX, or the tumor blood flow-rate. This simulation indicated that the optimization of the delivery to tumor tissue by long circulating liposomes could be possible by changing the release rate of DOX for the maximum antitumor effect.

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Year:  1999        PMID: 10469906     DOI: 10.1016/s0168-3659(99)00110-8

Source DB:  PubMed          Journal:  J Control Release        ISSN: 0168-3659            Impact factor:   9.776


  13 in total

1.  A mathematical model for comparison of bolus injection, continuous infusion, and liposomal delivery of doxorubicin to tumor cells.

Authors:  A W El-Kareh; T W Secomb
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2.  Synthesis and characterization of collagen/hydroxyapatite: magnetite composite material for bone cancer treatment.

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Journal:  AAPS J       Date:  2016-11-10       Impact factor: 4.009

4.  Translational considerations for cancer nanomedicine.

Authors:  Stephan T Stern; Jennifer B Hall; Lee L Yu; Laura J Wood; Giulio F Paciotti; Lawrence Tamarkin; Stephen E Long; Scott E McNeil
Journal:  J Control Release       Date:  2010-04-10       Impact factor: 9.776

5.  P-glycoprotein induction and tumor cell-kill dynamics in response to differential doxorubicin dosing strategies: a theoretical pharmacodynamic model.

Authors:  Kenneth T Luu; James A Uchizono
Journal:  Pharm Res       Date:  2005-05-17       Impact factor: 4.200

6.  Dual physiologically based pharmacokinetic model of liposomal and nonliposomal amphotericin B disposition.

Authors:  Leonid Kagan; Pavel Gershkovich; Kishor M Wasan; Donald E Mager
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7.  Sulfated polysaccharide-protein complex sensitizes doxorubicin-induced apoptosis of breast cancer cells in vitro and in vivo.

Authors:  Jie Wang; Hua Jian Wu; Chao Zhu Zhou; Hao Wang
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Review 8.  Pharmacokinetic-pharmacodynamic relationships of the anthracycline anticancer drugs.

Authors:  Romano Danesi; Stefano Fogli; Alessandra Gennari; Pierfranco Conte; Mario Del Tacca
Journal:  Clin Pharmacokinet       Date:  2002       Impact factor: 6.447

9.  Modeling NSCLC progression: recent advances and opportunities available.

Authors:  Ahmed Abbas Suleiman; Lucia Nogova; Uwe Fuhr
Journal:  AAPS J       Date:  2013-02-13       Impact factor: 4.009

10.  Multiscale kinetic modeling of liposomal Doxorubicin delivery quantifies the role of tumor and drug-specific parameters in local delivery to tumors.

Authors:  B S Hendriks; J G Reynolds; S G Klinz; E Geretti; H Lee; S C Leonard; D F Gaddy; C W Espelin; U B Nielsen; T J Wickham
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2012-11-21
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