Excel-Based Tool for Pharmacokinetically Guided Dose Adjustment of Paclitaxel.

BACKGROUND: Neutropenia is a frequent and severe adverse event in patients receiving paclitaxel chemotherapy. The time above a paclitaxel threshold concentration of 0.05 µmol/L (Tc > 0.05 µmol/L) is a strong predictor for paclitaxel-associated neutropenia and has been proposed as a target pharmacokinetic (PK) parameter for paclitaxel therapeutic drug monitoring and dose adaptation. Up to now, individual Tc > 0.05 µmol/L values are estimated based on a published PK model of paclitaxel by using the software NONMEM. Because many clinicians are not familiar with the use of NONMEM, an Excel-based dosing tool was developed to allow calculation of paclitaxel Tc > 0.05 µmol/L and give clinicians an easy-to-use tool. METHODS: Population PK parameters of paclitaxel were taken from a published PK model. An Alglib VBA code was implemented in Excel 2007 to compute differential equations for the paclitaxel PK model. Maximum a posteriori Bayesian estimates of the PK parameters were determined with the Excel Solver using individual drug concentrations. Concentrations from 250 patients were simulated receiving 1 cycle of paclitaxel chemotherapy. Predictions of paclitaxel Tc > 0.05 µmol/L as calculated by the Excel tool were compared with NONMEM, whereby maximum a posteriori Bayesian estimates were obtained using the POSTHOC function. RESULTS: There was a good concordance and comparable predictive performance between Excel and NONMEM regarding predicted paclitaxel plasma concentrations and Tc > 0.05 µmol/L values. Tc > 0.05 µmol/L had a maximum bias of 3% and an error on precision of <12%. The median relative deviation of the estimated Tc > 0.05 µmol/L values between both programs was 1%. CONCLUSIONS: The Excel-based tool can estimate the time above a paclitaxel threshold concentration of 0.05 µmol/L with acceptable accuracy and precision. The presented Excel tool allows reliable calculation of paclitaxel Tc > 0.05 µmol/L and thus allows target concentration intervention to improve the benefit-risk ratio of the drug. The easy use facilitates therapeutic drug monitoring in clinical routine.

Clinical pharmacokinetics of leriglitazone and a translational approach using PBPK modeling to guide the selection of the starting dose in children.

Leriglitazone is a unique peroxisome proliferator-activated receptor-gamma (PPARγ) agonist that crosses the blood-brain barrier in humans and clinical trials have shown evidence of efficacy in neurodegenerative diseases. At clinical doses which are well-tolerated, leriglitazone reaches the target central nervous system (CNS) concentrations that are needed for PPARγ engagement and efficacy; PPARγ engagement is also supported by clinical and anti-inflammatory biomarker changes in the Cerebrospinal fluid in the CNS. Plasma pharmacokinetics (PK) of leriglitazone were determined in a phase 1 study in male healthy volunteers comprising a single ascending dose (SAD) and a multiple ascending dose (MAD) at oral doses of 30, 90, and 270 mg and 135 and 270 mg, respectively. Leriglitazone was rapidly absorbed with no food effect on overall exposure and showed a linear PK profile with dose-exposure correlation. A physiologically based pharmacokinetic (PBPK) model was developed for leriglitazone based on phase 1 data (SAD part) and incorporated CYP3A4 (fmCYP3A4 = 24%) and CYP2C8-mediated (fmCYP2C8 = 45%) metabolism, as well as biliary clearance (feBIL = 19.5%) derived from in vitro data, and was verified by comparing the observed versus predicted concentration-time profiles from the MAD part. The PBPK model was prospectively applied to predict the starting pediatric doses and was preliminarily verified with data from five pediatric patients.

Effect of reactivity on cellular accumulation and cytotoxicity of oxaliplatin analogues.

The purpose of this study was to systematically investigate the relationships between reactivity, cellular accumulation, and cytotoxicity of a panel of oxaliplatin analogues with different leaving groups in human carcinoma cells. The reactivity of the complexes towards the nucleotides 2'-deoxyguanosine 5'-monophosphate and 2'-deoxyadenosine 5'-monophosphate was studied using capillary electrophoresis. Cellular accumulation and cytotoxicity were measured in an oxaliplatin-sensitive and oxaliplatin-resistant ileocecal colorectal adenocarcinoma cell line pair (HCT-8/HCT-8ox). Platinum concentrations were determined by flameless atomic absorption spectrometry. The 3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyl-2H-tetrazolium bromide (MTT) assay was used to assess cytotoxicity. Early cellular platinum accumulation was predominantly affected by lipophilicity. A relationship between reactivity and cellular accumulation was observed for three of four platinum complexes investigated, whereas the most lipophilic oxaliplatin analogue was an exception. Increased reactivity and reduced lipophilicity were associated with high cytotoxic activity. Resistance was influenced by lipophilicity but not by reactivity. The observed relationships may help in the design of analogues with high antitumoral activity in oxaliplatin-sensitive as well as oxaliplatin-resistant cells.

Population pharmacokinetics of high-dose carboplatin in children and adults.

INTRODUCTION: Although for conventional dosing of carboplatin, several strategies are available to individualize the dose based on renal function measurements, such approaches are still rare for high-dose regimens with autologous stem cell support. The purpose of this study was to investigate the influence of patient- and regimen-specific factors on the pharmacokinetics of carboplatin and to compare the performance of different dose individualization strategies (Calvert, Newell, Chatelut, flat dosing, dosing according to body surface area). PATIENTS AND METHODS: A combined data set with 69 patients from five studies, including 13 pediatric patients, was subject to a population pharmacokinetic analysis using NONMEM. RESULTS: The covariate analysis revealed that carboplatin clearance after high-dose chemotherapy was highly related to creatinine clearance, body height, and infusion duration. After inclusion of these covariates, the population parameter variability of clearance decreased from 53% in the base model to 21% in the final model. We also developed an alternative model that related body weight, instead of height, to clearance by means of allometric scaling. An evaluation of the predictive performance of existing a priori dose individualization strategies revealed that flat dosing is appropriate for adult patients with normal renal function receiving a 1-hour infusion. For a long-term infusion schedule, a dose increase may be necessary. The existing dosing strategies performed poorly for the children in our data set. For this subpopulation, our allometric scaling model may be most appropriate. CONCLUSION: The two population pharmacokinetic models presented can be applied to estimate individual carboplatin clearance in high-dose chemotherapy based on body weight or height, infusion duration, and creatinine clearance. After prospective evaluation, our models may be suitable for dose adjustments.

A Physiologically-Based Pharmacokinetic (PBPK) Model Network for the Prediction of CYP1A2 and CYP2C19 Drug-Drug-Gene Interactions with Fluvoxamine, Omeprazole, S-mephenytoin, Moclobemide, Tizanidine, Mexiletine, Ethinylestradiol, and Caffeine.

Physiologically-based pharmacokinetic (PBPK) modeling is a well-recognized method for quantitatively predicting the effect of intrinsic/extrinsic factors on drug exposure. However, there are only few verified, freely accessible, modifiable, and comprehensive drug-drug interaction (DDI) PBPK models. We developed a qualified whole-body PBPK DDI network for cytochrome P450 (CYP) CYP2C19 and CYP1A2 interactions. Template PBPK models were developed for interactions between fluvoxamine, S-mephenytoin, moclobemide, omeprazole, mexiletine, tizanidine, and ethinylestradiol as the perpetrators or victims. Predicted concentration-time profiles accurately described a validation dataset, including data from patients with genetic polymorphisms, demonstrating that the models characterized the CYP2C19 and CYP1A2 network over the whole range of DDI studies investigated. The models are provided on GitHub (GitHub Inc., San Francisco, CA, USA), expanding the library of publicly available qualified whole-body PBPK models for DDI predictions, and they are thereby available to support potential recommendations for dose adaptations, support labeling, inform the design of clinical DDI trials, and potentially waive those.

Pharmacokinetics of a novel anticancer ruthenium complex (KP1019, FFC14A) in a phase I dose-escalation study.

A phase I and pharmacokinetic study was carried out with the new ruthenium complex indazolium trans-[tetrachlorobis(1H-indazole)ruthenate(III)] (KP1019, FFC14A). Seven patients with various types of solid tumours refractory to standard therapy were treated with escalating doses of KP1019 (25-600 mg) twice weekly for 3 weeks. No dose-limiting toxicity occurred. Ruthenium plasma concentration-time profiles after the first dose and under multiple-dose conditions were analysed using a compartmental approach. The pharmacokinetic disposition was characterised by a small volume of distribution, low clearance and long half-life. Only a small fraction of ruthenium was excreted renally. The area under the curve values increased proportionally with dose indicating linear pharmacokinetics.

Concentration-QT Modeling Following Inhalation of the Novel Inhaled Phosphodiesterase-4 Inhibitor CHF6001 in Healthy Volunteers Shows an Absence of QT Prolongation.

Concentration-QTcF data obtained from two phase I studies in healthy volunteers treated with a novel phosphodiesterase-4 inhibitor currently under development for the treatment of chronic obstructive pulmonary disease were analyzed by means of mixed-effects modeling. A simple linear mixed-effects model and a more complex model that included oscillatory functions were employed and compared. The slope of the concentration-QTcF relationship was not significantly greater than 0 in both approaches, and the simulations showed that the upper limit of the 90% confidence interval around the mean ΔΔQTcF is not expected to exceed 10 ms within the range of clinically relevant concentrations. An additional simulation study confirmed the robustness of the simple linear mixed-effects model for the analysis of concentration-QT data and supported the modeling of data obtained from studies with different designs (parallel and crossover).

Pharmacokinetic/pharmacodynamic modelling of venlafaxine: pupillary light reflex as a test system for noradrenergic effects.

BACKGROUND AND OBJECTIVE: Venlafaxine and its major active metabolite O-desmethylvenlafaxine selectively inhibit serotonin and norepinephrine reuptake from the synaptic gap. The inhibition of norepinephrine uptake is assumed to enhance antidepressant efficacy when venlafaxine is given at higher therapeutic doses. Thus investigation of the concentration-response relationship of noradrenergic effects is of clinical interest. We used pupillography as a test system for the pharmacodynamic response to venlafaxine, since it had been shown to be useful for assessment of noradrenergic effects on the autonomous nervous system. The aim of the study was to develop a pharmacokinetic/pharmacodynamic model by means of nonlinear mixed-effects modelling in order to describe the time course of the noradrenergic response to venlafaxine. SUBJECTS AND METHODS: Twelve healthy male subjects received venlafaxine 37.5 mg or placebo orally twice daily for 7 days and subsequently 75 mg or placebo twice daily for another 7 days. After a 14-day washout phase, the two groups were crossed over. After the last dose of venlafaxine or placebo on day 14, blood samples were drawn to determine venlafaxine and O-desmethylvenlafaxine concentrations and the amplitude and recovery time of the pupillary light reflex were measured. A pharmacokinetic/pharmacodynamic model was developed to describe the data using nonlinear mixed-effects modelling. RESULTS: The pharmacokinetic part of the model could be simultaneously fitted to both venlafaxine and O-desmethylvenlafaxine data, yielding precise parameter estimates that were similar to published data. The model detected high variability of the intrinsic clearance of venlafaxine (94.8%), most likely due to cytochrome P450 2D6 polymorphism. Rapid development of tolerance of the pupillary light reflex parameters was seen and could be successfully accounted for in the pharmacodynamic part of the model. The half-life of development and regression of tolerance was estimated to be 30 minutes for the amplitude and 40 minutes for the recovery time. CONCLUSION: The time course of the effect and the concentration-response relationship were successfully described by a pharmacokinetic/pharmacodynamic model that takes into account the rapid development of tolerance of pupillary light reflex parameters. This provides a basis for further investigations of the applicability of pupillography as a surrogate measurement of the effectivity of antidepressant drugs with norepinephrine reuptake-inhibiting properties.

Time-to-Seizure Modeling of Lacosamide Used in Monotherapy in Patients with Newly Diagnosed Epilepsy.

OBJECTIVES: To quantify the relationship between exposure to lacosamide monotherapy and seizure probability, and to simulate the effect of changing the dose regimen. METHODS: Structural time-to-event models for dropouts (not because of a lack of efficacy) and seizures were developed using data from 883 adult patients newly diagnosed with epilepsy and experiencing focal or generalized tonic-clonic seizures, participating in a trial (SP0993; ClinicalTrials.gov identifier: NCT01243177) comparing the efficacy of lacosamide and carbamazepine controlled-release monotherapy. Lacosamide dropout and seizure models were used for simulating the effect of changing the initial target dose on seizure freedom. RESULTS: Repeated time-to-seizure data were described by a Weibull distribution with parameters estimated separately for the first and subsequent seizures. Daily area under the plasma concentration-time curve was related linearly to the log-hazard. Disease severity, expressed as the number of seizures during the 3 months before the trial (baseline), was a strong predictor of seizure probability: patients with 7-50 seizures at baseline had a 2.6-fold (90% confidence interval 2.01-3.31) higher risk of seizures compared with the reference two to six seizures. Simulations suggested that a 400-mg/day, rather than a 200-mg/day initial target dose for patients with seven or more seizures at baseline could potentially result in an additional 8% of seizure-free patients for 6 months at the last evaluated dose level. Patients receiving lacosamide had a slightly lower dropout risk compared with those receiving carbamazepine. CONCLUSION: Baseline disease severity was the most important predictor of seizure probability. Simulations suggest that an initial target dose >200 mg/day could potentially benefit patients with greater disease severity.

Determination of soluble vascular endothelial growth factor receptor 3 (sVEGFR-3) in plasma as pharmacodynamic biomarker.

Soluble VEGFR-3 (sVEGFR-3) is a potential biomarker for the anti-angiogenic activity of tyrosine kinase inhibitors. The aim of this investigation was the validation of an enzyme-linked immunosorbent assay (ELISA) to measure sVEGFR-3 in human plasma and the investigation of its applicability in clinical trials as first step of the biomarker validation process. General validation criteria were assessed based on current guidelines and recommendations for immunoassays. The ELISA was applied in two clinical trials including healthy volunteers and metastatic colorectal cancer (mCRC) patients receiving 50 or 37.5mg sunitinib per day, respectively. SVEGFR-3 was measured at predefined time points. Undiluted, inactivated fetal calf serum was identified as surrogate matrix to substitute for human plasma. Dilutional linearity and parallelism could be successfully confirmed. The analyte was measured in the study matrix with intra- and inter-run precision and accuracy ≤20%. Stability was proven over a period of at least 15 months as well as upon three freeze-thaw cycles. SVEGFR-3 concentrations decreased in response to sunitinib to 57% (IQR 50-88%) and 58% (IQR 47-80%) of the respective baseline concentrations in healthy volunteers and mCRC patients, respectively, with subsequent increase after stop of treatment. The ELISA for the quantification of sVEGFR-3 in human plasma was successfully validated. The applicability of the assay was demonstrated in two clinical trials.

Clinical pharmacokinetics of tyrosine kinase inhibitors: focus on pyrimidines, pyridines and pyrroles.

Pyrimidine (imatinib, dasatinib, nilotinib and pazopanib), pyridine (sorafenib) and pyrrole (sunitinib) tyrosine kinase inhibitors (TKIs) are multi-targeted TKIs with high activity towards several families of receptor and non-receptor tyrosine kinases involved in angiogenesis, tumour growth and metastatic progression of cancer. These orally administered TKIs have quite diverse characteristics with regard to absorption from the gastrointestinal tract. Absolute bioavailability in humans has been investigated only for imatinib (almost 100%) and pazopanib (14-39%; n = 3). On the basis of human radioactivity data, dasatinib is considered to be well absorbed after oral administration (19% and 0.1% of the total radioactivity were excreted as unchanged dasatinib in the faeces and urine, respectively). Quite low absolute bioavailability under fasted conditions is assumed for nilotinib (31%), sorafenib (50%) and sunitinib (50%). Imatinib, dasatinib and sunitinib exhibit dose-proportional increases in their area under the plasma concentration-time curve values over their therapeutic dose ranges. Less than dose-proportional increases were observed for nilotinib at doses ≥400 mg/day and for sorafenib and pazopanib at doses ≥800 mg/day. At steady state, the accumulation ratios are 1.5-2.5 (unchanged imatinib), 2.0 (nilotinib once-daily dosing), 3.4 (nilotinib twice-daily dosing), 1.2-4.5 (pazopanib), 5.7-6.4 (sorafenib) and 3.0-4.5 (sunitinib). Concomitant intake of a high-fat meal does not alter exposure to imatinib, dasatinib and sunitinib but leads to considerably increased bioavailability of nilotinib and pazopanib and decreased bioavailability of sorafenib. With the exception of pazopanib, the TKIs described here have large apparent volumes of distribution, exceeding the volume of body water by at least 4-fold. Very low penetration into the central nervous system in humans has been reported for imatinib and dasatinib, but there are currently no published human data for nilotinib, pazopanib, sorafenib or sunitinib. All TKIs that have been described are more than 90% bound to the plasma proteins: α(1)-acid glycoprotein and/or albumin. They are metabolized primarily via cytochrome P450 (CYP) 3A4, the only exception being sorafenib, for which uridine diphosphate glucuronosyltransferase 1A9 is the other main enzyme involved. Active metabolites of imatinib and sunitinib contribute to their antitumour activity. Although some patient demographics have been identified as significant co-factors that partly explain interindividual variability in exposure to TKIs, these findings have not been regarded as sufficient to recommend age-, sex-, bodyweight- or ethnicity-specific dose adjustment. Systemic exposure to imatinib, sorafenib and pazopanib increases in patients with hepatic impairment, and reduction of the initial therapeutic dose is recommended in this subpopulation. The starting dose of imatinib should also be reduced in renally impaired subjects. Because the solubility of dasatinib is pH dependent, co-administration of histamine H(2)-receptor antagonists and proton pump inhibitors with dasatinib should be avoided. With the exception of sorafenib, systemic exposure to TKIs is significantly decreased/increased by co-administration of potent CYP3A4 inducers/inhibitors, and so it is strongly recommended that the TKI dose is adjusted or that such co-administration is avoided. Caution is also recommended for co-administration of CYP3A4 substrates with TKIs, especially for those with a narrow therapeutic index. However, current recommendations with regard to dose adjustment of TKIs need to be validated in clinical studies. Further investigations are needed to explain the large interindividual variability in the pharmacokinetics of these drugs and to assess theclinical relevance of their interaction potential and inhibitory effects on metabolizing enzymes and transporters.

Accuracy to 2nd International HIV-1 RNA WHO Standard: assessment of three generations of quantitative HIV-1 RNA nucleic acid amplification tests.

BACKGROUND: Standardization of quantitative HIV-1 tests to a global primary standard is required by regulatory authorities to ensure comparability of test results across different assays and platforms of different manufacturers. OBJECTIVES AND STUDY DESIGN: Three generations of quantitative HIV-1 tests, the COBAS(®) AMPLICOR(®) HIV-1 Monitor Test, v1.5 (HIV-1 Monitor test v1.5); the COBAS(®) AmpliPrep/COBAS(®) TaqMan(®) HIV-1 Test (HIV-1 TaqMan(®) test v1.0); and the dual-target-based COBAS(®) AmpliPrep/COBAS(®) TaqMan(®) HIV-1 Test, v2.0 (HIV-1 TaqMan(®) test v2.0), were assessed for accuracy to World Health Organization (WHO) 2nd International Standard for human immunodeficiency virus 1 (HIV-1) RNA (NIBSC code 97/650) at concentration levels below 1667 IU/mL including relevant medical decision points. RESULTS: With the 2nd WHO Standard the mean difference across all concentrations was -0.07 log(10) for the HIV-1 Monitor test v1.5; +0.12 log(10) for the HIV-1 TaqMan(®) test v1.0; and +0.09 log(10) for the HIV-1 TaqMan(®) test v2.0. Linearity, including concentrations below the claimed limit of quantitation, was demonstrated for HIV-1 TaqMan(®) test v2.0. The HIV-1 TaqMan(®) test v1.0 showed a trend towards higher quantitation at very low concentration levels and the HIV-1 Monitor test v1.5 had a tendency towards lower quantitation at low concentration levels. CONCLUSIONS: All three assays are closely traceable to the primary WHO HIV-1 RNA standard for in vitro diagnostic IVD assays. Compared to the other two assays, the HIV-1 TaqMan(®) test v2.0 showed better linearity around the limit of detection and below.