Application of foreign clinical data across geographic regions can accelerate drug development. Drug disposition can be variable, and identification of factors influencing responsible pharmacokinetic/pharmacogenomic approaches could facilitate the universal application of foreign data and reduce the total amount of phase III clinical trials evaluating risks in different populations. Our objective was to establish and compare genotype (major cytochrome P450 (CYP) enzymes)/phenotype associations for Japanese (native and first- and third-generation Japanese living abroad), Caucasian, Chinese, and Korean populations using a standard drug panel. The mean metabolic ratios (MRs) for the four ethnic groups were similar except for a lower activity of CYP2D6 in Caucasians and CYP2C19 in Asians. Genotype, not ethnicity, impacted the MR for CYP2C9, CYP2C19, and CYP2D6; neither affected CYP1A2, CYP2E1, and CYP3A4/5 activities. We conclude that equivalent plasma drug concentrations and metabolic profiles can be expected for native Japanese, first- and third-generation Japanese, Koreans, and Chinese for compounds handled through these six CYP enzymes.

The effect of food on the oral bioavailability of sunitinib malate (SU11248, an oral, multi-targeted tyrosine kinase inhibitor with anti-angiogenic and anti-tumor activities) was assessed in a randomized open-label, two-way crossover study. A 50-mg dose of SU11248 was administered to 16 healthy subjects after a 10-h fast in one period and after a high-fat, high-calorie meal in the other period. The 90% confidence intervals (CIs) for maximum plasma concentration (Cmax) and area under the concentration-time curve (AUC) were within the 80-125% bioequivalence range, indicating the absence of a food effect. SU11248 exposure increased slightly in the fed compared with the fasted state (ratios of fed/fasted geometric least square means: Cmax 104%, AUC0-last and AUC0-infinity both 112%). There was a delay in the formation/absorption of the active metabolite SU12662 in the fed state (mean Cmax decreased 23%), but exposure remained unaffected (90% CIs for AUC0-last and AUC0-infinity were within 80-125%). These results indicate that SU11248 can be administered with or without food.

SummaryObjective Axitinib (AG-013736), an oral, potent, and selective inhibitor of vascular endothelial growth factor receptors 1, 2, and 3, is metabolized primarily by cytochrome P450 (CYP) 3A with minor contributions from CYP1A2, CYP2C19, and glucuronidation. Co-administration with CYP inhibitors may increase systemic exposure to axitinib and alter its safety profile. This study evaluated changes in axitinib plasma pharmacokinetic parameters and assessed safety and tolerability in healthy subjects, following axitinib co-administration with the potent CYP3A inhibitor ketoconazole. Methods In this randomized, single-blind, two-way crossover study, 32 healthy volunteers received placebo, followed by a single 5-mg oral dose of axitinib, administered either alone or on the fourth day of dosing with oral ketoconazole (400 mg/day for 7 days). Results Axitinib exposure was significantly increased in the presence of ketoconazole, with a geometric mean ratio for area under the plasma concentration–time curve from time zero to infinity of 2.06 (90% confidence interval [CI]: 1.84–2.30) and a geometric mean ratio for maximum plasma concentration (Cmax) of 1.50 (90% CI: 1.33–1.70). For axitinib alone or with ketoconazole, Cmax occurred 1.5 and 2.0 h after dosing, respectively. Adverse events were predominantly mild; the most commonly reported treatment-related adverse events were headache and nausea. Conclusions Axitinib plasma exposures and peak concentrations were increased following concurrent administration of axitinib and ketoconazole in healthy volunteers. Axitinib alone and in combination with ketoconazole was well tolerated. These findings provide an upper exposure for expected axitinib plasma concentrations in the presence of potent metabolic inhibition.

While axitinib Form IV FCIR was associated with higher plasma exposure after overnight fasting, axitinib Form XLI FCIR can be administered with or without food as differences in axitinib pharmacokinetics under the two conditions were not clinically meaningful.

BACKGROUND Cost‐efficient trial designs have drawn considerable attention (Pharmaceutical Statistics; 2005; 4:152‐160). Dropouts often occur in clinical trials. This study is to investigate the effect of dropouts on the cost efficiency of five commonly used, statistically optimal or near‐optimal higher‐order crossover designs for comparative bioavailability studies. METHODS Probabilistic models were used to simulate three dropout patterns (decreasing, constant, and increasing) after generation of multivariate normal data under wide scenarios of variability and correlations (CV = 10% to 40%; ρ = 0.2 to 0.8). Monte Carlo simulations and mixed‐effects models were carried out to obtain empirical sample sizes of the five designs using Schuirmann's TOST Procedure, under an 80% power and a 5% significance level, based on the equivalence criteria (80%, 125%). The five designs, cost function and calculation were previously described (Abstract PII‐150, ASCPT 2005). RESULTS D3×2 is generally the best with dropouts. But D4×4, often the best design without dropouts, becomes the second worst with dropouts. D4×2 is the best when the screening cost is high and period cost does not vary. D2×4 is still the worst. CONCLUSIONS The 3‐period 2‐sequence design is recommended with consideration of dropouts, unless screening costs are high, in which case the 4‐period 2‐sequence design becomes preferable. The 2‐period 4‐sequence and the 4‐period 4‐sequence designs are least favorable in terms of cost efficiency. Clinical Pharmacology & Therapeutics (2005) 79, P27–P27; doi: