Abstract | PURPOSE: To identify sources of exposure variability for the tumor growth inhibitor 17-dimethylaminoethylamino-17-demethoxygeldanamycin (17-DMAG) using a population pharmacokinetic analysis. METHODS: A total 67 solid tumor patients at 2 centers were given 1 h infusions of 17-DMAG either as a single dose, daily for 3 days, or daily for 5 days. Blood samples were extensively collected and 17-DMAG plasma concentrations were measured by liquid chromatography/mass spectrometry. Population pharmacokinetic analysis of the 17-DMAG plasma concentration with time was performed using nonlinear mixed effect modeling to evaluate the effects of covariates, inter-individual variability, and between-occasion variability on model parameters using a stepwise forward addition then backward elimination modeling approach. The inter-individual exposure variability and the effects of between-occasion variability on exposure were assessed by simulating the 95 % prediction interval of the AUC per dose, AUC(0-24 h), using the final model and a model with no between-occasion variability, respectively, subject to the five day 17-DMAG infusion protocol with administrations of the median observed dose. RESULTS: A 3-compartment model with first order elimination (ADVAN11, TRANS4) and a proportional residual error, exponentiated inter-individual variability and between occasion variability on Q2 and V1 best described the 17-DMAG concentration data. No covariates were statistically significant. The simulated 95% prediction interval of the AUC(0-24 h) for the median dose of 36 mg/m(2) was 1,059-9,007 mg/L h and the simulated 95 % prediction interval of the AUC(0-24 h) considering the impact of between-occasion variability alone was 2,910-4,077 mg/L h. CONCLUSIONS: Population pharmacokinetic analysis of 17-DMAG found no significant covariate effects and considerable inter-individual variability; this implies a wide range of exposures in the population and which may affect treatment outcome. Patients treated with 17-DMAG may require therapeutic drug monitoring which could help achieve more uniform exposure leading to safer and more effective therapy.
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Authors | Abdulateef O Aregbe, Eric A Sherer, Merrill J Egorin, Howard I Scher, David B Solit, Ramesh K Ramanathan, Suresh Ramalingam, Chandra P Belani, Percy S Ivy, Robert R Bies |
Journal | Cancer chemotherapy and pharmacology
(Cancer Chemother Pharmacol)
Vol. 70
Issue 1
Pg. 201-5
(Jul 2012)
ISSN: 1432-0843 [Electronic] Germany |
PMID | 22450873
(Publication Type: Clinical Trial, Phase II, Journal Article, Multicenter Study, Randomized Controlled Trial, Research Support, N.I.H., Extramural, Research Support, U.S. Gov't, P.H.S.)
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Chemical References |
- Benzoquinones
- Lactams, Macrocyclic
- 17-(dimethylaminoethylamino)-17-demethoxygeldanamycin
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Topics |
- Adult
- Aged
- Aged, 80 and over
- Algorithms
- Area Under Curve
- Benzoquinones
(administration & dosage, pharmacokinetics)
- Drug Administration Schedule
- Drug Monitoring
(methods)
- Female
- Humans
- Infusions, Intravenous
- Lactams, Macrocyclic
(administration & dosage, pharmacokinetics)
- Male
- Middle Aged
- Models, Biological
- Monte Carlo Method
- Neoplasms
(drug therapy, metabolism)
- Time Factors
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