Clinical pharmacology of etoposide in children undergoing autologous stem cell transplantation for various solid tumours.

1. The population pharmacokinetics of high-dose etoposide was studied in a group of young children and adolescents. 2. Twenty-six children and adolescent were administered high-dose etoposide as a continuous infusion over 24 h. Etoposide plasma concentration-time data was modelled using NONMEM® 7. The effect of age, weight, serum creatinine (SCr), and gender on pharmacokinetic parameters (CL and V(d)) were determined by a nonlinear mixed effect model. 3. The pharmacokinetics of etoposide based on BSA dosing was best described with a 1-compartment structural model which was parameterised in terms of clearance (CL) and volume of distribution (V(d)). An exponential error model was used to explain intersubject variability and a proportional error model was used to describe residual or intrapatient variability. The final model parameter estimates for the typical (normalised to 70 kg) values of CL and V(d) were 2.31 L/hr and 17.5 L, respectively. The CL and V(d) allometrically increased with weight with the power of 3/4 and 1, respectively. After accounting for weight dependence using the allometric scaling, age, serum creatinine, and gender did not have any influence on model parameters. 4. The results of this children and adolescent population pharmacokinetic study indicates that etoposide pharmacokinetics were influenced by body weight on an allometric basis. The pharmacokinetic parameters CL and V(d) increased with increasing weight similar to BSA.

A physiologically based pharmacokinetic (PBPK) model to characterize and predict the disposition of monoclonal antibody CC49 and its single chain Fv constructs.

Optimization of the use of monoclonal antibodies (MAbs) as diagnostic tools and therapeutic agents in the treatment of cancer is aided by quantitative characterization of the transport and tissue disposition of these agents in whole animals. This characterization may be effectively achieved by the application of physiologically based pharmacokinetic (PBPK) models. The purpose of this study was to develop a PBPK model to characterize the biodistribution of the pancarcinoma MAb CC49 IgG in normal and neoplastic tissues of nude mice, and to further apply the model to predict the disposition of multivalent single chain Fv (scFv) constructs in mice. Since MAbs are macromolecules, their transport is membrane-limited and a two-pore formalism is employed to describe their extravasation. The influence of binding of IgG to the protective neonatal Fc receptor (FcRn) on its disposition is also accounted for in the model. The model successfully described (131)I-CC49 IgG concentrations in blood, tumor and various organs/tissues in mice. Sensitivity analysis revealed the rate of transcapillary transport to be a critical determinant of antibody penetration and localization in the tumor. The applicability of the model was tested by predicting the disposition of di- and tetravalent scFv constructs of CC49 in mice. The model gave reasonably good predictions of the disposition of the scFv constructs. Since the model employs physiological parameters, it can be used to scale-up mouse biodistribution data to predict antibody distribution in humans. Therefore, the clinical utility of the model was tested with data for (131)I-CC49 obtained in patients, by scaling up murine parameter values according to known empirical relationships. The model gave satisfactory predictions of CC49 disposition and tumor uptake in man.

A model-based meta-analysis of monoclonal antibody pharmacokinetics to guide optimal first-in-human study design.

The objectives of this retrospective analysis were (1) to characterize the population pharmacokinetics (popPK) of four different monoclonal antibodies (mAbs) in a combined analysis of individual data collected during first-in-human (FIH) studies and (2) to provide a scientific rationale for prospective design of FIH studies with mAbs. The data set was composed of 171 subjects contributing a total of 2716 mAb serum concentrations, following intravenous (IV) and subcutaneous (SC) doses. mAb PK was described by an open 2-compartment model with first-order elimination from the central compartment and a depot compartment with first-order absorption. Parameter values obtained from the popPK model were further used to generate optimal sampling times for a single dose study. A robust fit to the combined data from four mAbs was obtained using the 2-compartment model. Population parameter estimates for systemic clearance and central volume of distribution were 0.20 L/day and 3.6 L with intersubject variability of 31% and 34%, respectively. The random residual error was 14%. Differences (> 2-fold) in PK parameters were not apparent across mAbs. Rich designs (22 samples/subject), minimal designs for popPK (5 samples/subject), and optimal designs for non-compartmental analysis (NCA) and popPK (10 samples/subject) were examined by stochastic simulation and estimation. Single-dose PK studies for linear mAbs executed using the optimal designs are expected to yield high-quality model estimates, and accurate capture of NCA estimations. This model-based meta-analysis has determined typical popPK values for four mAbs with linear elimination and enabled prospective optimization of FIH study designs, potentially improving the efficiency of FIH studies for this class of therapeutics.

Properties of a general PK/PD model of antibody-ligand interactions for therapeutic antibodies that bind to soluble endogenous targets.

Antibodies that target endogenous soluble ligands are an important class of biotherapeutic agents. While much focus has been placed on characterization of antibody pharmacokinetics, less emphasis has been given to characterization of antibody effects on their soluble targets. We describe here the properties of a generalized mechanism-based PK/PD model used to characterize the in vivo interaction of an antibody and an endogenous soluble ligand. The assumptions and properties of the model are explored, and situations are described when deviations from the basic assumptions may be necessary. This model is most useful for in vivo situations where both antibody and ligand levels are available following drug administration. For a given antibody exposure, the extent and duration of suppression of free ligand is impacted by the apparent affinity of the interaction, as well as by the rate of ligand turnover. The applicability of the general equilibrium model of in vivo antibody-ligand interaction is demonstrated with an anti-Aß antibody.

Pharmacokinetic and biodistribution studies of a bone-targeting drug delivery system based on N-(2-hydroxypropyl)methacrylamide copolymers.

Osteotropicity of novel bone-targeted HPMA copolymer conjugates has been demonstrated previously with bone histomorphometric analysis. The pharmacokinetics and biodistribution of this delivery system were investigated in the current study with healthy young BALB/c mice. The 125I-labeled bone-targeted and control (nontargeted) HPMA copolymers were administered intravenously to mice, and their distribution to different organs and tissues was followed using gamma counter and single photon emission computed tomography (SPECT). Both the invasive and noninvasive data further confirmed that the incorporation of D-aspartic acid octapeptide (D-Asp8) as bone-targeting moiety could favorably deposit the HPMA copolymers to the entire skeleton, especially to the high bone turnover sites. To evaluate the influence of molecular weight, three fractions (Mw of 24, 46, and 96 kDa) of HPMA copolymer-D-Asp8 conjugate were prepared and evaluated. Higher molecular weight of the conjugate enhanced the deposition to bone due to the prolonged half-life in circulation, but it weakened the bone selectivity. A higher content of bone-targeting moiety (D-Asp8) in the conjugate is desirable to achieve superior hard tissue selectivity. Further validation of the bone-targeting efficacy of the conjugates in animal models of osteoporosis and other skeletal diseases is needed in the future.