Population Pharmacokinetic Analysis of Lanreotide Autogel® in Healthy Subjects: evidence for injection interval of up to 2 months

BACKGROUND AND OBJECTIVE: Lanreotide is a somatostatin analogue used for the treatment of acromegaly and neuroendocrine tumours. The objective of this study was to develop a pharmacokinetic model for the sustained-release formulation lanreotide Autogel after deep subcutaneous administration in healthy subjects, and to explore the potential effect of covariates, especially sex and dose. SUBJECTS AND METHODS: This was an open-label, single-centre, randomized, dose-ranging, parallel-group study, with a follow-up period of 4-7 months following drug administration in healthy subjects. Healthy Caucasian subjects aged 18-45 years were included. Subjects received a rapid intravenous bolus of 7 microg/kg of an immediate-release formulation of lanreotide (lanreotide IRF). After a 3-day washout period, participants were randomized to receive a single deep subcutaneous injection of lanreotide Autogel at a dose of 60, 90 or 120 mg. PHARMACOKINETIC AND STATISTICAL ANALYSIS: Blood samples for lanreotide determination were obtained during the first 12 hours after the intravenous bolus injection and during the 4- to 7-month follow-up period after deep subcutaneous administration of lanreotide Autogel. Data after intravenous and subcutaneous administration were fitted simultaneously using the population approach in NONMEM((R)) version VI software. The model was validated externally using data from patients with acromegaly. RESULTS: In total, 50 healthy subjects (24 women and 26 men) received a single intravenous dose of lanreotide IRF. Of these, 38 subjects (18 women and 20 men) received a single subcutaneous dose of lanreotide Autogel 3 days after intravenous lanreotide IRF. The disposition of lanreotide was described by a three-compartment open model. The estimates of the total volume of distribution and serum clearance were 15.1 L and 23.1 L/h, respectively. The estimates of interindividual variability were 0.05). CONCLUSIONS: Population analysis allows a full description of the disposition of lanreotide after rapid intravenous bolus administration of lanreotide IRF (7 microg/kg) and the pharmacokinetics of lanreotide Autogel after a single deep subcutaneous injection (60, 90 or 120 mg) in healthy subjects. The model-based simulations provide support for the feasibility of extending the dosing interval for lanreotide Autogel to 56 days when given at 120 mg. The absorption profile of lanreotide Autogel was independent of the dose and was not affected by sex

Population pharmacokinetics of ganciclovir after intravenous ganciclovir and oral valganciclovir administration in solid organ transplant patients infected with cytomegalovirus

A population pharmacokinetics analysis was performed after intravenous ganciclovir and oral valganciclovir in solid organ transplant patients with cytomegalovirus. Patients received ganciclovir at 5 mg/kg of body weight (5 days) and then 900 mg of valganciclovir (16 days), both twice daily with dose adjustment for renal function. A total of 382 serum concentrations from days 5 and 15 were analyzed with NONMEM VI. Renal function given by creatinine clearance (CL(CR)) was the most influential covariate in CL. The final pharmacokinetic parameters were as follows: ganciclovir clearance (CL) was 7.49.(CL(CR)/57) liter/h (57 was the mean population value of CL(CR)); the central and peripheral distribution volumes were 31.9 liters and 32.0 liters, respectively; intercompartmental clearance was 10.2 liter/h; the first-order absorption rate constant was 0.895 h(-1); bioavailability was 0.825; and lag time was 0.382 h. The CL(CR) was the best predictor of CL, making dose adjustment by this covariate important to achieve the most efficacious ganciclovir exposure

Predictive ability of a semi-mechanistic model for neutropenia in the development of novel anti-cancer agents: two case studies

Abstract In cancer chemotherapy neutropenia is a common dose-limiting toxicity. An ability to predict the neutropenic effects of cytotoxic agents based on proposed trial designs and models conditioned on previous studies would be valuable. The aim of this study was to evaluate the ability of a semi-mechanistic pharmacokinetic/pharmacodynamic (PK/PD) model for myelosuppression to predict the neutropenia observed in Phase I clinical studies, based on parameter estimates obtained from prior trials. Pharmacokinetic and neutropenia data from 5 clinical trials for diflomotecan and from 4 clinical trials for indisulam were used. Data were analyzed and simulations were performed using the population approach with NONMEM VI. Parameter sets were estimated under the following scenarios: (a) data from each trial independently, (b) pooled data from all clinical trials and (c) pooled data from trials performed before the tested trial. Model performance in each of the scenarios was evaluated by means of predictive (visual and numerical) checks. The semi-mechanistic PK/PD model for neutropenia showed adequate predictive ability for both anti-cancer agents. For diflomotecan, similar predictions were obtained for the three scenarios. For indisulam predictions were better when based on data from the specific study, however when the model parameters were conditioned on data from trials performed prior to a specific study, similar predictions of the drug related-neutropenia profiles and descriptors were obtained as when all data were used. This work provides further indication that modeling and simulation tools can be applied in the early stages of drug development to optimize future trials

Predictive ability of a semi-mechanistic model for neutropenia in the development of novel anti-cancer agents: two case studies

Abstract In cancer chemotherapy neutropenia is a common dose-limiting toxicity. An ability to predict the neutropenic effects of cytotoxic agents based on proposed trial designs and models conditioned on previous studies would be valuable. The aim of this study was to evaluate the ability of a semi-mechanistic pharmacokinetic/pharmacodynamic (PK/PD) model for myelosuppression to predict the neutropenia observed in Phase I clinical studies, based on parameter estimates obtained from prior trials. Pharmacokinetic and neutropenia data from 5 clinical trials for diflomotecan and from 4 clinical trials for indisulam were used. Data were analyzed and simulations were performed using the population approach with NONMEM VI. Parameter sets were estimated under the following scenarios: (a) data from each trial independently, (b) pooled data from all clinical trials and (c) pooled data from trials performed before the tested trial. Model performance in each of the scenarios was evaluated by means of predictive (visual and numerical) checks. The semi-mechanistic PK/PD model for neutropenia showed adequate predictive ability for both anti-cancer agents. For diflomotecan, similar predictions were obtained for the three scenarios. For indisulam predictions were better when based on data from the specific study, however when the model parameters were conditioned on data from trials performed prior to a specific study, similar predictions of the drug related-neutropenia profiles and descriptors were obtained as when all data were used. This work provides further indication that modeling and simulation tools can be applied in the early stages of drug development to optimize future trials