Related Experiment Video
Updated: Jun 1, 2026

Multiplex Therapeutic Drug Monitoring by Isotope-dilution HPLC-MS/MS of Antibiotics in Critical Illnesses
Published on: August 30, 2018
Population pharmacokinetics of PM00104 (Zalypsis(®)) in cancer patients
Carlos Pérez-Ruixo1, Belén Valenzuela, Carlos Fernández Teruel
1Consulting Projects for Research, Picayo, 3 Puzol, 46530 Valencia, Spain. carlos@cpr-projects.com
Objective:
The aim of this study was to characterize the population pharmacokinetics of PM00104 (Zalypsis(®)) in cancer patients.
Methods:
A total of 135 patients included in four phase I clinical trials who receive intravenous PM00104 at doses ranging from 53 to 5,000 μg/m(2) and administered as 1-, 3-, or 24-h infusion every 3 weeks or as 1-h infusion on days 1, 8, and 15 of a 28-day cycle, or 1-h infusion daily during 5 consecutive days every 3 weeks were included in the analysis. Pharmacokinetic data were analyzed with non-linear mixed effect model using NONMEM VI software. The effect of selected patient covariates on PM00104 pharmacokinetics was investigated. Model evaluation was performed using predictive checks and non-parametric bootstrap.
Results:
An open four-compartment catenary linear model with first-order elimination was developed to best describe the data. Plasma clearance and its between-subject variability was 43.7 L/h (34%). Volume of distribution at steady state was 822 L (117%). Within the range of covariates studied, age, sex, body size variables, aspartate aminotransferase, alanine aminotransferase, alkaline phosphatase, total bilirubin, lactate dehydrogenase, creatinine clearance, albumin, total protein, hemoglobin, performance status, liver metastases, dose-limiting toxicity, and stable disease for 3 months were not statistically related to PM00104 pharmacokinetic parameters. Bootstrap and posterior predictive check evidenced the model was deemed appropriate to describe the time course of PM00104 plasma concentrations in cancer patients.
Conclusions:
The integration of phase I pharmacokinetic data demonstrated PM00104 linear elimination from plasma, dose proportionality up to 5,000 μg/m(2), and time-independent pharmacokinetics. No clinically relevant covariates were identified as predictors of PM00104 pharmacokinetics.
Insights
This study characterized the population pharmacokinetics of PM00104 (Zalypsis®) in cancer patients. Results showed linear elimination and dose proportionality, with no significant covariate effects on pharmacokinetics.
Area of Science:
- Pharmacology
- Clinical Pharmacology
- Oncology
Background:
- Understanding drug pharmacokinetics is crucial for optimizing cancer therapy.
- PM00104 (Zalypsis®) is an investigational agent requiring pharmacokinetic characterization.
- Phase I trials provide initial data on drug behavior in humans.
Purpose of the Study:
- To characterize the population pharmacokinetics of PM00104 in cancer patients.
- To identify factors influencing PM00104 pharmacokinetics.
- To establish dose proportionality and elimination characteristics.
Main Methods:
- Analysis of pharmacokinetic data from 135 cancer patients across four Phase I trials.
- Utilized a non-linear mixed-effects model (NONMEM VI) for population pharmacokinetic analysis.
- Investigated the impact of various patient covariates on drug parameters.
Main Results:
- A four-compartment linear model with first-order elimination accurately described PM00104 plasma concentrations.
- Plasma clearance was 43.7 L/h with 34% between-subject variability; steady-state volume of distribution was 822 L.
- No significant relationship was found between patient covariates (age, sex, organ function, etc.) and PM00104 pharmacokinetics.
Conclusions:
- PM00104 exhibits linear elimination from plasma up to 5,000 μg/m².
- The drug demonstrates dose proportionality and time-independent pharmacokinetics.
- No clinically significant covariates were identified that predict PM00104 pharmacokinetics.
Related Concept Videos
Combination Therapies and Personalized Medicine
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
Effect of Hepatic Disease on Pharmacokinetics: Active Drug, Metabolite and Fraction of Metabolized Drug
Nonlinear Pharmacokinetics: Dependence of Elimination Half-Life and Dose Clearance
A study on guinea pigs examined the...
Effect of Hepatic Disease on Pharmacokinetics: Dose Adjustments Due to Hepatic Impairment
