Literature DB >> 688253

Prediction of adriamycin disposition in cancer patients using a physiologic, pharmacokinetic model.

K K Chan, J L Cohen, J F Gross, K J Himmelstein, J R Bateman, Y Tsu-Lee, A S Marlis.   

Abstract

A ten-compartment flow-limited pharmacokinetic model scaled from rabbit tissue distribution data was used to predict plasma adriamycin concentrations in 23 patients and adriamycin tissue uptake in nine surgery patients following iv bolus doses of 10--60 mg/m2. The predicted concentrations were compared to experimentally determined adriamycin using a specific thin-layer chromatographic fluorescence scanning procedure. The predicted plasma time course for 11 of 16 patients with relatively normal liver and kidney function agreed closely with the observed plasma time course. Deviations in the other five patients were ascribed to possible changes in the profile of metabolite formation and/or fluctuations in biliary clearance. All four patients with elevated serum bilirubin demonstrated significantly higher and more prolonged plasma levels than predicted. The results of two patients with impaired kidney function and one patient with both hepatic and renal involvement were inconclusive. The comparison between predicted and observed tissue concentrations in biopsy samples was varied; however, all were within an order of magnitude. It is concluded that the model depicts adriamycin uptake and distribution reasonably well; however, more needs to be known concerning individual variation in metabolic and biliary excretion rates for this to become more patient-specific. Also, a tumor compartment appears to be an important addition in modifying the model to allow for clinical utility.

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Year:  1978        PMID: 688253

Source DB:  PubMed          Journal:  Cancer Treat Rep        ISSN: 0361-5960


  29 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
Journal:  Neoplasia       Date:  2000 Jul-Aug       Impact factor: 5.715

2.  Physiological pharmacokinetic model of adriamycin delivered via magnetic albumin microspheres in the rat.

Authors:  J M Gallo; C T Hung; P K Gupta; D G Perrier
Journal:  J Pharmacokinet Biopharm       Date:  1989-06

3.  Doxorubicin and doxorubicinol: intra- and inter-individual variations of pharmacokinetic parameters.

Authors:  J M Jacquet; F Bressolle; M Galtier; M Bourrier; D Donadio; J Jourdan; J F Rossi
Journal:  Cancer Chemother Pharmacol       Date:  1990       Impact factor: 3.333

4.  β2-adrenergic receptors mediate cardioprotection through crosstalk with mitochondrial cell death pathways.

Authors:  Giovanni Fajardo; Mingming Zhao; Gerald Berry; Lee-Jun Wong; Daria Mochly-Rosen; Daniel Bernstein
Journal:  J Mol Cell Cardiol       Date:  2011-07-02       Impact factor: 5.000

Review 5.  Physiologically based pharmacokinetic models for anticancer drugs.

Authors:  H S Chen; J F Gross
Journal:  Cancer Chemother Pharmacol       Date:  1979       Impact factor: 3.333

6.  Incorporation of ABCB1-mediated transport into a physiologically-based pharmacokinetic model of docetaxel in mice.

Authors:  Susan F Hudachek; Daniel L Gustafson
Journal:  J Pharmacokinet Pharmacodyn       Date:  2013-04-25       Impact factor: 2.745

7.  Distribution of doxorubicin to normal breast and tumour tissue in patients undergoing mastectomy.

Authors:  S Stallard; J G Morrison; W D George; S B Kaye
Journal:  Cancer Chemother Pharmacol       Date:  1990       Impact factor: 3.333

Review 8.  Pharmacokinetics of anticancer drugs in children.

Authors:  W R Crom; A M Glynn-Barnhart; J H Rodman; M E Teresi; R E Kavanagh; M L Christensen; M V Relling; W E Evans
Journal:  Clin Pharmacokinet       Date:  1987-03       Impact factor: 6.447

9.  Pharmacokinetics of idarubicin (4-demethoxydaunorubicin; IMI-30; NSC 256439) following intravenous and oral administration in patients with advanced cancer.

Authors:  H C Gillies; D Herriott; R Liang; K Ohashi; H J Rogers; P G Harper
Journal:  Br J Clin Pharmacol       Date:  1987-03       Impact factor: 4.335

10.  Physiologically based pharmacokinetic model of lapatinib developed in mice and scaled to humans.

Authors:  Susan F Hudachek; Daniel L Gustafson
Journal:  J Pharmacokinet Pharmacodyn       Date:  2013-01-12       Impact factor: 2.745

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