Interspecies Brain PBPK Modeling Platform to Predict Passive Transport through the Blood-Brain Barrier and Assess Target Site Disposition.

The high failure rate of central nervous system (CNS) drugs is partly associated with an insufficient understanding of target site exposure. Blood-brain barrier (BBB) permeability evaluation tools are needed to explore drugs' ability to access the CNS. An outstanding aspect of physiologically based pharmacokinetic (PBPK) models is the integration of knowledge on drug-specific and system-specific characteristics, allowing the identification of the relevant factors involved in target site distribution. We aimed to qualify a PBPK platform model to be used as a tool to predict CNS concentrations when significant transporter activity is absent and human data are sparse or unavailable. Data from the literature on the plasma and CNS of rats and humans regarding acetaminophen, oxycodone, lacosamide, ibuprofen, and levetiracetam were collected. Human BBB permeability values were extrapolated from rats using inter-species differences in BBB surface area. The percentage of predicted AUC and Cmax within the 1.25-fold criterion was 85% and 100% for rats and humans, respectively, with an overall GMFE of <1.25 in all cases. This work demonstrated the successful application of the PBPK platform for predicting human CNS concentrations of drugs passively crossing the BBB. Future applications include the selection of promising CNS drug candidates and the evaluation of new posologies for existing drugs.

Role of ADME gene polymorphisms on imatinib disposition: results from a population pharmacokinetic study in chronic myeloid leukaemia.

PURPOSE: Imatinib is a substrate of CYP3A4, ABCB1 and ABCG2, and is known to have wide variability in pharmacokinetics (PK). At the same time, a clear relationship between drug levels and response also exists for imatinib in chronic myeloid leukaemia (CML). Therefore, pharmacogenetic-based dosing of imatinib is an attractive proposition. This study aims to characterize the population pharmacokinetics of imatinib in order to identify significant covariates including pharmacogenetic variants. METHODS: Forty-nine patients with CML were enrolled in the study after being on imatinib for at least 4 consecutive weeks. Steady-state pharmacokinetic sampling was performed either in a sparse (4 samples each, n = 44) or intensive manner (9 samples each, n = 5). An additional pharmacogenetic sample was also collected from all patients. Plasma imatinib levels were estimated using a validated HPLC method. Pharmacogenetic variants were identified using the PharmacoScan array platform. Population pharmacokinetic analysis was carried out using NONMEM v7.2. Seven SNPs within CYP3A4, ABCB1 and ABCG2 genes were evaluated for covariate effect on the clearance of imatinib. RESULTS: Imatinib PK was well characterized using a one-compartment model with zero-order absorption. The clearance and volume of distribution were found to be 10.2 L/h and 389 L respectively. Only SNP rs1128503 of the ABCB1 gene had a small but insignificant effect on imatinib clearance, with a 25% reduction in clearance observed in patients carrying the polymorphism. Twenty-three out of forty-nine patients (47%) carried the polymorphic allele, of whom 17 were heterozygous and six were homozygous. CONCLUSION: Our study conclusively proves that genetic polymorphisms in the CYP3A4 and ABC family of transporters do not have any role in the personalized dosing of imatinib in CML.

Feasibility of therapeutic drug monitoring of sunitinib and its implications on response and toxicity in patients with metastatic renal cell cancer.

PURPOSE: Sunitinib is an oral tyrosine kinase inhibitor approved for the treatment of metastatic renal cell carcinoma (mRCC). High variability in pharmacokinetics coupled with a proven exposure-effect relationship makes sunitinib an ideal candidate for therapeutic drug monitoring (TDM). The feasibility of TDM of sunitinib in patients with mRCC was evaluated in this prospective observational study in a real-world scenario. METHODS: Seventy patients with mRCC treated with sunitinib at a fixed dose of 50 mg per day were enrolled in the study. Total trough plasma level (TTL) of sunitinib (sunitinib and its active metabolite, SU12662), was measured between days 14/15 of cycle 1. The discriminatory potential of TTL of sunitinib for the prediction of responders and occurrence of grade ≥ 3 toxicity was determined using receiver operating characteristic (ROC) curve. RESULTS: The median TTL of sunitinib was 76 ng/mL. Forty six out of 70 patients were evaluable for response, whereas 60 out of 70 patients were evaluable for toxicity. Threshold concentrations obtained from ROC analysis showed that TTL of 60.75 ng/mL and 82.3 ng/mL was discriminatory for response and occurrence of grade ≥ 3 toxicity respectively. 31/34 (91.7%) patients having TTL ≥ 60.75 ng/mL responded to treatment, while only 5/12 (41.6%) responded when TTL was < 60.75 ng/mL (P = 0.001). On the other hand, the incidence of grade ≥ 3 toxicity was 9/24 (37.7%) in patients with TTL ≥ 82.3 ng/mL compared to 4/36 (11.1%) in patients with TTL < 82.3 ng/mL (P = 0.024). CONCLUSION: The TTL range of 60.75-82.3 ng/mL was found to be optimal in terms of safety and efficacy. More than 50% of patients in our cohort attained TTL of sunitinib outside the optimal range, thus demonstrating the feasibility of TDM to improve safety and efficacy of sunitinib in mRCC.

ADME gene polymorphisms do not influence the pharmacokinetics of docetaxel: Results from a population pharmacokinetic study in Indian cancer patients.

BACKGROUND: Pharmacokinetics (PK) of docetaxel is characterized by high inter-individual variability (IIV). While covariate models that explain the PK variability of docetaxel exist, not much is known about the effects of genetic variations on docetaxel disposition. METHODS: Fifty patients with head and neck or prostate cancer were enrolled of whom two patients withdrew consent before the start of the study. Docetaxel was administered at either 50 or 75 mg/m2 as intravenous infusion over 1 h. One pharmacogenetic sample and a series of PK samples, either intensive (N = 5; 13 samples each) or sparse (N = 43; 6 samples each), were collected from each patient. Docetaxel levels were estimated using a validated HPLC method. Polymorphic loci on the Absorption, Distribution, Metabolism, and Elimination (ADME) genes were identified using the PharmacoScan array platform. Population pharmacokinetic analysis was carried out using NONMEM v7.2. RESULTS: Docetaxel PK was well characterized by a three-compartment model. Clearance (Cl) was found to be 18 L/h with an IIV of 45.3%. None of the genetic variants showed significant covariate effect on the Cl of docetaxel. Patients with abnormal alanine aminotransferase (ALT) were found to have 25% lower Cl as compared to patients with normal ALT values. However, the covariate effect could not be established in the final model possibly due to lack of adequate number of patients with abnormal ALT. CONCLUSION: Genetic polymorphisms in the ADME gene do not explain the IIV in PK of docetaxel. However, patients with abnormal liver function might require dose reduction. CLINICAL TRIAL REGISTRATION: Not applicable since participants in this study received treatment that was standard of care.

An HPLC method for simultaneous quantification of sunitinib and its active metabolite, SU12662, using hydrophilic interaction chromatography principle.

Aim: To develop a sensitive HPLC method for the quantitation of sunitinib (SU) and its active metabolite N-desethyl-sunitinib (SU12662) in human plasma. Materials & methods: The analytes were extracted from 500 µl of plasma using liquid-liquid extraction followed by protein precipitation. Chromatographic separation of two analytes and internal standard, vandetenib, was achieved on a hydrophilic interaction liquid chromatography analytical column using a gradient program. Calibration curves were linear over the range of 10-250 ng/ml for both SU and SU12662. The method was validated according to the US FDA guidelines for bioanalytical methods. Accuracy of the method at 10 ng/ml for SU and SU12662 was 8.7 and 6.7%, respectively, and precision was 10.18% and 17.3%, respectively. Conclusion: This method allows a specific, sensitive and reliable determination of SU and SU12662 in human plasma in a single analytical run which makes it useful for therapeutic drug monitoring.