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30 A Population Approach to Predicting Post-Treatment Levels of Epirubicin in Patients with Advanced Breast Cancer

 

L.S. Murray(1) , D.I. Jodrell(2) . J.G. Morrison(2) , A.W. Kelman(1) , D.J. Kerr(2) , B.Whiting(1) & S.B. Kaye(2)

Departments of Medicine & Therapeutics(1) and Medical Oncology(2) University of Glasgow

Introduction

In clinical practice, the dosage used in cytotoxic drug therapy is usually empirical, based on body surface area, and not on the results of formal pharmacokinetic (PK)/pharmacodynamic (PD) studies. It is now accepted that the pharmacodynamics of many drugs are better related to pharmacokinetic parameters such as the area under the plasma concentration time curve (AUC) or concentration at steady state, than to absolute dose (1). Current practice therefore fails to maximise the chance of achieving the therapeutic objectives of tumor reduction and increased survival whilst minimizing toxity. Development of a dosage strategy based on PK/PD studies requires firstly the identification of a target range for the PK parameter which is associated with the required PD response, and secondly the ability to maintain the PK parameter within target range by dosage adjustment within an individual. The aim of this study was to determine whether it was possible, with the anti-cancer drug epirubicin, which is given at 21 day intervals, to determine the plasma concentrations which will be achieved in after each course of treatment.

Patients and Methods

As part of the routine treatment for breast cancer 41 patients received 100mg/ epirubicin, and 25mg prednisolone twice daily for 5 days. 35 of these patients were randomised to receive quinidine (250mg), as a modulator of resistance to epirubicin, or placebo for 4 days prior to and 2 days after chemotherapy as part of an on-going trial. Unless there was disease progression or undue toxicity patients received 8 cycles of chemotherapy. Epirubicin was given by a short intravenous infusion over 5-10 mins on the first cycle blood samples were taken at 0, 5, 10, 20, 40, 60 and 90 minutes, and 2, 4, 8, 12, 20 and 24 hours after the end of the infusion. These were centrifuged and the plasma frozen until analysed by HPLC. On subsequent cycles samples were taken at 10mins, 1hr and 24hrs after the end of the short infusion. Clinical information such as height, weight, age and pre-treatment biochemistry was also recorded for each of the patients. A population PK model was developed using the computer program NONMEM (2). The population parameter estimates were then used in a Bayesian Algorithm to produce posterior PK parameter estimates for the individual, which were in turn used to predict the epirubicin concentrations in that individual following the next dose.

Results and Discussion

Previous studies suggest that both the inter and intra-patient variability in PK parameter values for epirubicin is large. The results of this study will be presented and some of the practical problems encountered will be discussed.

1. M. Gibaldi (1991) Clinical Biopharmaceutics and Pharmacokinetics, 4th ed, Lea and Febiger, Philadelphia

2. NONMEM User's Guide (1992), Version IV, University of California



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