Publications by authors named "Kim Stuyckens"

14 Publications

  • Page 1 of 1

Population Pharmacokinetics of Total and Free Erdafitinib in Adult Healthy Volunteers and Cancer Patients: Analysis of Phase 1 and Phase 2 Studies.

J Clin Pharmacol 2020 04 19;60(4):515-527. Epub 2019 Nov 19.

Global Clinical Pharmacology, Janssen Research & Development, Beerse, Belgium.

A population pharmacokinetic (PK) model was developed using data pooled from 6 clinical studies (3 in healthy volunteers and 3 in cancer patients) to characterize total and free plasma concentrations of erdafitinib following single- and multiple-dose administration, to understand clinically relevant covariates, and to quantify the inter- and intraindividual variability in erdafitinib PK. An open, linear, 3-compartment disposition model with first-order absorption and a lag time was used to describe the PK profile of total and free erdafitinib plasma concentrations. The PK of erdafitinib were linear and time independent. After oral administration, erdafitinib was rapidly absorbed, with a time to maximum concentration between 2 and 4 hours. In patients, erdafitinib total apparent oral clearance was 0.200 L/h (median free fraction = 0.24%), and the effective terminal half-life of total drug was 76.4 hours. Interindividual variability in PK parameters was moderate for oral clearance and central volume of distribution, and large for absorption rate and peripheral volume of distribution. Sex and renal function were significant covariates on free oral clearance, while weight, sex, and α -acid-glycoprotein were significant on oral central volume of distribution. Age, race, and mild hepatic impairment were not significant covariates of erdafitinib exposure. Given that the magnitude of the covariate effects were within 25% of reference values and that the recommended dosing regimen of erdafitinib comprises individual dose up-titrations and reductions based on presence or absence of toxicities, the clinical relevance of the investigated covariates is expected to be limited, and no dose adjustments are warranted.
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http://dx.doi.org/10.1002/jcph.1547DOI Listing
April 2020

Erdafitinib in Locally Advanced or Metastatic Urothelial Carcinoma.

N Engl J Med 2019 07;381(4):338-348

From Gustave Roussy, INSERM Unité 981, Université Paris-Sud, Université Paris-Saclay, Villejuif, France (Y.L.); Fondazione IRCCS Istituto Nazionale dei Tumori, Milan (A.N.); Sungkyunkwan University Samsung Medical Center, Seoul, South Korea (S.H.P.); Genitourinary and Gynecological Cancer Unit, Centro Integral Oncológico Clara Campal, Madrid (J.G.-D.), Hospital Clinic Institut d'Investigacions Biomèdiques August Pi i Sunyer, University of Barcelona, Barcelona (B.M.), and Hospital Universitario Marques de Valdecilla, Santander (I.D.) - all in Spain; the Institute of Cancer Research, Sutton, London (R.H.); the Levine Cancer Institute, Atrium Health, Charlotte, NC (E.B.); Virginia Oncology Associates, US Oncology Research, Norfolk (M.F.); Norton Healthcare, Louisville, KY (A.R.); the Altai Regional Cancer Center, Barnaul, Russia (S.V.); the Penn State Cancer Institute, Hershey (M.J.), and Janssen Research and Development, Spring House (B.Z., A.S.-W., A.O., A.A.) - both in Pennsylvania; Weill Cornell Medical College, New York (S.T.T.); University of Iowa Hospitals and Clinics, Holden Comprehensive Cancer Center, Iowa City (Y.Z.); Janssen Research and Development, Beerse, Belgium (K.S., P.D.P.); and the University of Texas M.D. Anderson Cancer Center, Houston (A.O.S.-R.).

Background: Alterations in the gene encoding fibroblast growth factor receptor () are common in urothelial carcinoma and may be associated with lower sensitivity to immune interventions. Erdafitinib, a tyrosine kinase inhibitor of FGFR1-4, has shown antitumor activity in preclinical models and in a phase 1 study involving patients with alterations.

Methods: In this open-label, phase 2 study, we enrolled patients who had locally advanced and unresectable or metastatic urothelial carcinoma with prespecified alterations. All the patients had a history of disease progression during or after at least one course of chemotherapy or within 12 months after neoadjuvant or adjuvant chemotherapy. Prior immunotherapy was allowed. We initially randomly assigned the patients to receive erdafitinib in either an intermittent or a continuous regimen in the dose-selection phase of the study. On the basis of an interim analysis, the starting dose was set at 8 mg per day in a continuous regimen (selected-regimen group), with provision for a pharmacodynamically guided dose escalation to 9 mg. The primary end point was the objective response rate. Key secondary end points included progression-free survival, duration of response, and overall survival.

Results: A total of 99 patients in the selected-regimen group received a median of five cycles of erdafitinib. Of these patients, 43% had received at least two previous courses of treatment, 79% had visceral metastases, and 53% had a creatinine clearance of less than 60 ml per minute. The rate of confirmed response to erdafitinib therapy was 40% (3% with a complete response and 37% with a partial response). Among the 22 patients who had undergone previous immunotherapy, the confirmed response rate was 59%. The median duration of progression-free survival was 5.5 months, and the median duration of overall survival was 13.8 months. Treatment-related adverse events of grade 3 or higher, which were managed mainly by dose adjustments, were reported in 46% of the patients; 13% of the patients discontinued treatment because of adverse events. There were no treatment-related deaths.

Conclusions: The use of erdafitinib was associated with an objective tumor response in 40% of previously treated patients who had locally advanced and unresectable or metastatic urothelial carcinoma with alterations. Treatment-related grade 3 or higher adverse events were reported in nearly half the patients. (Funded by Janssen Research and Development; BLC2001 ClinicalTrials.gov number, NCT02365597.).
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http://dx.doi.org/10.1056/NEJMoa1817323DOI Listing
July 2019

Immune network for viral hepatitis B: Topological representation.

Eur J Pharm Sci 2019 Aug 10;136:104939. Epub 2019 Jun 10.

Pharmacometrics & Systems Pharmacology, Department of Pharmaceutical Technology and Chemistry, School of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain; IdiSNA, Navarra Institute for Health Research, Pamplona, Spain. Electronic address:

The liver is a well-known immunotolerogenic environment, which provides the adequate setting for liver infectious pathogens persistence such as the hepatitis B virus (HBV). Consequently, HBV infection can derive in the development of chronic disease in a proportion of the patients. If this situation persists in time, chronic hepatitis B (CHB) would end in cirrhosis, hepatocellular carcinoma and eventually, the death of the patient. It is thought that this immunotolerogenic environment is the result of complex interactions between different elements of the immune system and the viral biology. Therefore, the purpose of this work is to unravel the mechanisms implied in the development of CHB and to design a tool able to help in the study of adequate therapies. Firstly, a conceptual framework with the main components of the immune system and viral dynamics was constructed providing an overall insight on the pathways and interactions implied in this disease. Secondly, a review of the literature was performed in a modular fashion: (i) viral dynamics, (ii) innate immune response, (iii) humoral and (iv) cellular adaptive immune responses and (v) tolerogenic aspects. Finally, the information collected was integrated into a single topological representation that could serve as the plan for the systems pharmacology model architecture. This representation can be considered as the previous unavoidable step to the construction of a quantitative model that could assist in biomarker and target identification, drug design and development, dosing optimization and disease progression analysis.
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http://dx.doi.org/10.1016/j.ejps.2019.05.017DOI Listing
August 2019

Modeling the Relationship Between Exposure to Abiraterone and Prostate-Specific Antigen Dynamics in Patients with Metastatic Castration-Resistant Prostate Cancer.

Clin Pharmacokinet 2017 01;56(1):55-63

Janssen Research & Development, 920 Route 202, Raritan, NJ, 08869, USA.

Background And Objectives: Recent analysis revealed strong associations between prostate-specific antigen (PSA) dynamics and overall survival (OS) in metastatic castration-resistant prostate cancer (mCRPC) and supported PSA dynamics as bridging surrogacy endpoints for clinical benefit from treatment with abiraterone acetate plus prednisone. This analysis aimed to investigate the abiraterone exposure-PSA dynamics relationship in mCRPC.

Methods: Abiraterone pharmacokinetics-PSA models were constructed using data from the COU-AA-301 (chemotherapy-pretreated) and COU-AA-302 (chemotherapy-naïve) trials comparing abiraterone acetate 1000 mg/day plus prednisone 5 mg twice daily with prednisone alone in mCRPC. The drug effect-PSA dynamics relationship was modeled as a function of selected pharmacokinetic measures. The influences of baseline demographic variables, laboratory values, and disease status on PSA dynamics were assessed.

Results: A tumor growth inhibition model best described PSA dynamics post-treatment with abiraterone acetate. Abiraterone acetate treatment in chemotherapy-pretreated and chemotherapy-naïve patients increased the PSA decay rate (k ) to the same extent (1.28-fold, 95 % confidence interval [CI] 0.58-1.98; and 0.93-fold, 95 % CI 0.6-1.27, respectively). Lower baseline lactate dehydrogenase and higher baseline testosterone significantly increased k . Findings from our analysis suggest a maximum-effect relationship between abiraterone trough concentration and PSA dynamics in both patient populations. The majority of patients had a steady-state trough concentration greater than the estimated half maximal effective concentration.

Conclusion: The model appropriately described the exposure-response relationship between abiraterone and PSA dynamics in chemotherapy-pretreated and chemotherapy-naïve patients following oral administration of abiraterone acetate.
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http://dx.doi.org/10.1007/s40262-016-0425-0DOI Listing
January 2017

Phase I Dose-Escalation Study of JNJ-42756493, an Oral Pan-Fibroblast Growth Factor Receptor Inhibitor, in Patients With Advanced Solid Tumors.

J Clin Oncol 2015 Oct 31;33(30):3401-8. Epub 2015 Aug 31.

Josep Tabernero, Rodrigo Dienstmann, Barbara Adamo, and Jordi Rodon, Vall d'Hebron University Hospital and Institute of Oncology, Universitat Autònoma de Barcelona, Barcelona; Emiliano Calvo, START Madrid, Centro Integral Oncológico Clara Campal; Victor Moreno, START Madrid, Hospital Fundación Jiménez Díaz, Madrid, Spain; Rastislav Bahleda, Anas Gazzah, and Jean-Charles Soria, Gustave Roussy Cancer Campus and University Paris-Sud, Villejuif; Antoine Italiano, Institut Bergonié, Bordeaux, France; Jeffrey R. Infante, Sarah Cannon Research Institute, Nashville, TN; Alain Mita, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA; Bob Zhong, Suso J. Platero, Moitreyee Chatterjee-Kishore, Vijay Peddareddigari, and Feng R. Luo, Janssen Research and Development, Raritan, NJ; and Johan W. Smit and Kim Stuyckens, Janssen Research and Development, Beerse, Belgium.

Purpose: JNJ-42756493 is an orally administered pan-fibroblast growth factor receptor (FGFR) tyrosine kinase inhibitor. This first-in-human study evaluates the safety, pharmacokinetics, and pharmacodynamics and defines the recommended phase II dose (RP2D) of JNJ-42756493.

Patients And Methods: Eligible patients with advanced solid tumors received escalating doses of JNJ-42756493 from 0.5 to 12 mg administered continuously daily or JNJ-42756493 10 or 12 mg administered intermittently (7 days on/7 days off).

Results: Sixty-five patients were enrolled. The most common treatment-emergent adverse events included hyperphosphatemia (65%), asthenia (55%), dry mouth (45%), nail toxicity (35%), constipation (34%), decreased appetite (32%), and dysgeusia (31%). Twenty-seven patients (42%) experienced grade ≥ 3 treatment-emergent adverse events, and one dose-limiting toxicity of grade 3 ALT elevation was observed at 12 mg daily. Maximum-tolerated dose was not defined. Nine milligrams daily was considered as the initial RP2D; however, tolerability was improved with intermittent schedules, and 10 mg administered on a 7-days-on/7-days-off schedule was considered the final RP2D. Pharmacokinetics were linear, dose proportional, and predictable, with a half-life of 50 to 60 hours. Dose-dependent elevations in serum phosphate, a manifestation of pharmacodynamic effect, occurred in all patients starting at 4 mg daily. Among 23 response-evaluable patients with tumor FGFR pathway alterations, four confirmed responses and one unconfirmed partial response were observed in patients with glioblastoma and urothelial and endometrial cancer (all with FGFR2 or FGFR3 translocations); 16 patients had stable disease.

Conclusion: JNJ-42756493 administered at 10 mg on a 7-days-on/7-days-off schedule achieved exposures at which clinical responses were observed, demonstrated pharmacodynamic biomarker activity, and had a manageable safety profile.
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http://dx.doi.org/10.1200/JCO.2014.60.7341DOI Listing
October 2015

Correlation between Prostate-Specific Antigen Kinetics and Overall Survival in Abiraterone Acetate-Treated Castration-Resistant Prostate Cancer Patients.

Clin Cancer Res 2015 Jul 31;21(14):3170-7. Epub 2015 Mar 31.

Janssen Research & Development, Raritan, New Jersey.

Purpose: We constructed a biomarker-survival modeling framework to explore the relationship between prostate-specific antigen (PSA) kinetics and overall survival (OS) in metastatic castration-resistant prostate cancer (mCRPC) patients following oral administration of 1,000 mg/day of abiraterone acetate (AA).

Experimental Design: The PSA-survival modeling framework was based on data from two phase III studies, COU-AA-301 (chemotherapy pretreated, n = 1,184) and COU-AA-302 (chemotherapy naïve, n = 1,081), and included a mixed-effects tumor growth inhibition model and a Cox proportional hazards survival model.

Results: The effect of AA on PSA kinetics was significant (P < 0.0001) and comparable between the chemotherapy-naïve and -pretreated patients. PSA kinetics [e.g., PSA nadir, PSA response rate (≥30%, 50%, and 90%), time to PSA progression, PSA doubling time (PSADT)] were highly associated with OS in both populations. The model-based posttreatment PSADT had the strongest association with OS (HR ∼0.9 in both populations). The models could accurately predict survival outcomes. After adjusting for PSA kinetic endpoints, the treatment effect of AA on survival was no longer statistically significant in both studies, and the Prentice criteria of surrogacy were met for the PSA kinetic endpoints. A strong correlation was also observed between PSA and radiographic progression-free survival.

Conclusions: The analysis revealed a consistent treatment effect of AA on PSA kinetics and strong associations between PSA kinetics and OS in chemotherapy-pretreated and -naïve patients, thereby providing a rationale to consider PSA kinetics as surrogacy endpoints to indicate clinical benefit in AA-treated patients with mCRPC regardless of chemotherapy treatment.
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http://dx.doi.org/10.1158/1078-0432.CCR-14-1549DOI Listing
July 2015

Population pharmacokinetic analysis of abiraterone in chemotherapy-naïve and docetaxel-treated patients with metastatic castration-resistant prostate cancer.

Clin Pharmacokinet 2014 Dec;53(12):1149-60

Janssen Research & Development, Turnhoutseweg 30, Beerse, B-2340, Belgium,

Background And Objectives: Abiraterone acetate, an androgen biosynthesis inhibitor, prolongs survival in men with metastatic castration-resistant prostate cancer (mCRPC) in the pre- and post-chemotherapy setting as demonstrated by the pivotal phase III studies COU-AA-301 and COU-AA-302. We performed population pharmacokinetic analyses to estimate pharmacokinetic parameters after oral administration of 1,000 mg/day of abiraterone acetate in patients with mCRPC, with or without prior chemotherapy, and after a single 1,000 mg dose in healthy volunteers. The study objectives were to determine consistency between patient populations and to characterize factors that may influence abiraterone pharmacokinetics.

Methods: Studies in this analysis included COU-AA-302 (chemotherapy naïve); COU-AA-301 and COU-AA-006 (chemotherapy pretreated); and COU-AA-008, COU-AA-009, and COU-AA-014 (healthy subjects). A total of 4,627 plasma concentrations from 359 subjects (62 healthy volunteers, 297 patients) were analyzed using non-linear mixed-effects modeling.

Results: An Erlang-type absorption model with first-order elimination and three-transit compartments following sequential zero- and first-order processes was used to characterize abiraterone pharmacokinetics. Absorption-related parameters were affected by food intake. Abiraterone pharmacokinetics were characterized by an extensive apparent clearance, which was lower in patients with mCRPC (1,550 L/h) versus healthy subjects (2,240 L/h), and by large apparent central (5,620 L) and peripheral (17,400 L) volumes of distribution. Abiraterone pharmacokinetics were similar in chemotherapy-pretreated and -naïve patients and were characterized by a high between- and within-subject variability [e.g., between-subject coefficient of variation (CV%) for relative bioavailability for the modified fasting state was 61.1% and the CV% for within-subject variability was 71.3%]. The fat content of food taken with abiraterone acetate affected the bioavailability of abiraterone. No factors beyond food intake and health status (healthy vs. mCRPC) impacted abiraterone pharmacokinetics.

Conclusions: Based on the pharmacokinetics model, the recommended 1,000 mg/day of abiraterone acetate resulted in similar abiraterone exposure for patients with mCRPC regardless of prior chemotherapy. The fat content of food affected relative bioavailability of abiraterone, though the extent of this effect is dependent on health status.
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http://dx.doi.org/10.1007/s40262-014-0178-6DOI Listing
December 2014

The association between body composition and toxicities from the combination of Doxil and trabectedin in patients with advanced relapsed ovarian cancer.

Appl Physiol Nutr Metab 2014 Jun 23;39(6):693-8. Epub 2014 Jan 23.

a Department of Nutrition, Food and Exercise Sciences, The Florida State University, 412 Sandels Building, 120 Convocation Way, Tallahassee, FL 32360, USA.

Emerging research suggests that body composition can predict toxicity of certain chemotherapeutic agents. We used data from a clinical study to investigate associations between body composition and combined DOXIL (pegylated liposomal doxorubicin; PLD) and trabectedin (Yondelis) treatment, an effective treatment for ovarian cancer that shows high interpatient variation in toxicity profile. Patients (n = 74) participating in a phase III randomized trial of relapsed advanced ovarian cancer receiving PLD (30 mg/m(2)) and trabectedin (1.1 mg/m(2)) were included. Muscle tissue was measured by analysis of computerized tomography images, and an extrapolation of muscle and adipose tissue to lean body mass (LBM) and fat mass (FM) were employed. Toxicity profile after cycle 1 was used and graded according to the National Cancer Institute Common Toxicity Criteria (version 3). Patients presented with a wide range of body composition. In overweight and obese patients (body mass index (BMI) ≥ 25 kg/m(2), n = 48) toxicity was more prevalent in those with lower BMI (p = 0.028) and a lower FM (n = 43, p = 0.034). Although LBM alone was not predictive of toxicity, a lower FM/LBM ratio was the most powerful variable associated with toxicity (p = 0.006). A different pattern emerged among normal weight patients (n = 26) where toxicity was rare among patients with smaller BMI (<21 kg/m(2)). A clear association between both FM and LBM (primarily driven by FM) in explaining PLD plus trabectedin toxicity emerged, but only in individuals with excess body weight, with a lower ratio predicting higher exposure and risk for toxicity.
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http://dx.doi.org/10.1139/apnm-2013-0403DOI Listing
June 2014

Population pharmacokinetics and pharmacodynamics of rivaroxaban in patients with acute coronary syndromes.

Br J Clin Pharmacol 2012 Jul;74(1):86-97

Clinical Pharmacology, Advanced PK-PD Modeling and Simulation, Janssen Research & Development, Titusville, NJ 08560, USA.

What Is Already Known About This Subject: • Population pharmacokinetics and pharmacodynamics of rivaroxaban have been characterized in healthy subjects and in patients with total venous thromboembolism, deep vein thrombosis or atrial fibrillation.

What This Study Adds: • This article is the first description of the population pharmacokinetics (PK) and pharmacodynamics (PD) of rivaroxaban in patients with acute coronary syndrome (ACS). It is the largest population pharmacokinetic and pharmacodynamic study on rivaroxaban conducted to date (n= 2290). The PK and PK-PD relationship of rivaroxaban in patients with ACS were similar to those in other patient populations. In addition, model-based simulations showed that the influence of renal function and age on the exposure to rivaroxaban in the ACS population were similar to the findings from Phase 1 special population studies. These findings suggest that rivaroxaban has highly predictable PK-PD and may provide a consistent anticoagulant effect across the studied patient populations, which allows an accurate prediction of the dose to control anticoagulation optimally.

Aims: The aim of this analysis was to use a population approach to facilitate the understanding of the pharmacokinetics and pharmacodynamics of rivaroxaban in patients with acute coronary syndrome (ACS) and to evaluate the influence of patient covariates on the exposure of rivaroxaban in patients with ACS. METHODS A population pharmacokinetic model was developed using pharmacokinetic samples from 2290 patients in Anti-Xa Therapy to Lower Cardiovascular Events in Addition to Standard Therapy in Subjects with Acute Coronary Syndrome Thrombolysis in Myocardial Infarction 46. The relationship between pharmacokinetics and the primary pharmacodynamic end point, prothrombin time, was evaluated.

Results: The pharmacokinetics of rivaroxaban in patients with ACS was adequately described by an oral one-compartment model. The estimated absorption rate, apparent clearance and volume of distribution were 1.24 h(-1) (interindividual variability, 139%), 6.48 l h(-1) (31%) and 57.9 l (10%), respectively. Simulations indicate that the influences of renal function, age and bodyweight on exposure in ACS patients are consistent with the findings in previous Phase 1 studies. Rivaroxaban plasma concentrations exhibit a close-to-linear relationship with prothrombin time in the ACS population, with little interindividual variability. The estimated pharmacokinetic and pharmacodynamic parameters for the ACS patients were comparable to those for venous thromboembolism prevention, deep vein thrombosis and atrial fibrillation patients.

Conclusions: The similarity in pharmacokinetics/pharmacodynamics of rivaroxaban among different patient populations and the low interindividual variability in the exposure-prothrombin time relationship indicate that the anticoagulant effect of rivaroxaban is highly predictable and consistent across all the patient populations studied.
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http://dx.doi.org/10.1111/j.1365-2125.2012.04181.xDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3394132PMC
July 2012

Population pharmacokinetics of tapentadol immediate release (IR) in healthy subjects and patients with moderate or severe pain.

Clin Pharmacokinet 2010 Oct;49(10):671-82

Advanced PK-PD Modeling and Simulation, Clinical Pharmacology, Johnson & Johnson Pharmaceutical R&D, Raritan, New Jersey 08869, USA.

Background: Tapentadol is a new, centrally active analgesic agent with two modes of action--mu opioid receptor agonism and norepinephrine reuptake inhibition--and the immediate-release (IR) formulation is approved in the US for the relief of moderate to severe acute pain. The aims of this analysis were to develop a population pharmacokinetic model to facilitate the understanding of the pharmacokinetics of tapentadol IR in healthy subjects and patients following single and multiple dosing, and to identify covariates that might explain variability in exposure following oral administration.

Methods: The analysis included pooled data from 11,385 serum pharmacokinetic samples from 1827 healthy subjects and patients with moderate to severe pain. Population pharmacokinetic modelling was conducted using nonlinear mixed-effects modelling (NONMEM) software to estimate population pharmacokinetic parameters and the influence of the subjects' demographic characteristics, clinical laboratory chemistry values and disease status on these parameters. Simulations were performed to assess the clinical relevance of the covariate effects on tapentadol exposure.

Results: A two-compartment model with zero-order release followed by first-order absorption and first-order elimination best described the pharmacokinetics of tapentadol IR following oral administration. The interindividual variability (coefficient of variation) in apparent oral clearance (CL/F) and the apparent central volume of distribution after oral administration were 30% and 29%, respectively. An additive error model was used to describe the residual variability in the log-transformed data, and the standard deviation values were 0.308 and 0.314 for intensively and sparsely sampled data, respectively. Covariate analysis showed that sex, age, bodyweight, race, body fat, hepatic function (using total bilirubin and total protein as surrogate markers), health status and creatinine clearance were statistically significant factors influencing the pharmacokinetics of tapentadol. Total bilirubin was a particularly important factor that influenced CL/F, which decreased by more than 60% in subjects with total bilirubin greater than 50 micromol/L.

Conclusions: The population pharmacokinetic model for tapentadol IR identified the relationship between pharmacokinetic parameters and a wide range of covariates. The simulations of tapentadol exposure with identified, statistically significant covariates demonstrated that only hepatic function (as characterized by total bilirubin and total protein) may be considered a clinically relevant factor that warrants dose adjustment. None of the other covariates are of clinical relevance, nor do they necessitate dose adjustment.
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http://dx.doi.org/10.2165/11535390-000000000-00000DOI Listing
October 2010

Modeling the effectiveness of paliperidone ER and olanzapine in schizophrenia: meta-analysis of 3 randomized, controlled clinical trials.

J Clin Pharmacol 2010 Mar 7;50(3):293-310. Epub 2010 Jan 7.

Advanced Modeling and Simulation, Clinical Pharmacology Division, Johnson & Johnson Pharmaceutical Research & Development, a Division of Janssen Pharmaceutica NV, Beerse, Belgium.

The time course of Positive and Negative Syndrome Scale (PANSS) scores in adult schizophrenia patients was modeled, and the effectiveness of paliperidone extended-release tablets (paliperidone ER) and olanzapine was quantified. Data from 3 randomized, double-blind phase III studies were used. Patients received paliperidone ER (3, 6, 9, 12, or 15 mg), olanzapine 10 mg, or matched placebo once daily for 6 consecutive weeks. An indirect response model implemented using a nonlinear mixed effects approach described the time course of the PANSS. Deterioration rate was modeled as a function of baseline PANSS score, placebo, and drug effects, and the dropout effect. An exponential decrease of the placebo response was also implemented. Paliperidone ER and olanzapine treatment were characterized by a long-lasting drug effect (13%), with a larger but short-lasting placebo effect (40%) and a notable dropout rate. The covariate exploration failed to identify any clinically relevant factors. The nonparametric bootstrap analysis confirmed the acceptable precision of parameter estimates. The visual predictive check supported the model's adequacy to reproduce observed PANSS time courses. The population model describes the time course of PANSS scores in schizophrenia patients and is appropriate for use in clinical trial simulation activities.
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http://dx.doi.org/10.1177/0091270009346057DOI Listing
March 2010

Population pharmacokinetics of intramuscular paliperidone palmitate in patients with schizophrenia: a novel once-monthly, long-acting formulation of an atypical antipsychotic.

Clin Pharmacokinet 2009 ;48(9):585-600

Clinical Pharmacology, Advanced PK-PD Modeling & Simulation, Johnson & Johnson Pharmaceutical Research & Development, LLC, 920 Route 202, PRD 2723, Raritan, NJ 08869, USA.

Objectives: To characterize the population pharmacokinetics of paliperidone after intramuscular administration of its long-acting palmitate ester at various doses and at two different injection sites (deltoid and gluteal muscle).

Methods: The retrospective analysis included pooled data from 1795 subjects from six phase I trials and five phase II and III trials. A total of 18 530 pharmacokinetic samples with valid concentration timepoints were available for this analysis. Nonlinear mixed-effects modelling of the pooled data was conducted using NONMEM software. The full dataset was divided into an index dataset (model development) and a validation dataset. After validation both the index and validation datasets were combined and the final model was re-run on the full dataset.

Results: The concentration-time data for paliperidone following intramuscular administration of its palmitate ester were best fitted to a one-compartment model with first-order elimination. The absorption component of the model allowed a fraction of the dose (f(2)) to enter relatively quickly into the central compartment via a zero-order process. After a lag time, the remaining fraction then entered the systemic circulation via a first-order process. Interindividual variability (IIV) in clearance (CL), central volume of distribution (V(d)) and the absorption rate constant (k(a)) were estimated at a 40%, 69% and 59% coefficient of variation (CV), respectively. The IIV on f(2) for paliperidone absorption via the dual-input process was fitted through logit transformation, and its standard deviation (SD) was 0.064. Similarly, the interoccasion variability (IOV) on CL, V(d) and f(2) was 26% CV, 14% CV and 0.07 SD, respectively. An additive-error model with log-transformed data was used to describe the residual variability (RV), and its SD was 0.22. The final covariate model indicated that the following variables had a significant influence on k(a): sex, age, injection volume (IVOL) and injection site (INJS). Similarly, the following variables had a significant influence on f(2): sex, body mass index (BMI), needle length (NDLL), INJS and IVOL. In addition, CL was related to creatinine clearance (CL(CR)), whereas V(d) was related to BMI and sex.

Conclusions: A dual-absorption pharmacokinetic model best described the complex pharmacokinetics of paliperidone after intramuscular administration of its palmitate ester. These results suggest that the pharmacokinetics of paliperidone palmitate are mostly influenced by BMI, CL(CR), INJS, IVOL and NDLL.
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http://dx.doi.org/10.2165/11316870-000000000-00000DOI Listing
September 2009

Semimechanistic pharmacokinetic/pharmacodynamic model for hepatoprotective effect of dexamethasone on transient transaminitis after trabectedin (ET-743) treatment.

Cancer Chemother Pharmacol 2008 Jun 9;62(1):135-47. Epub 2007 Oct 9.

Cognigen Corporation, Buffalo, NY, USA.

Purpose: Reversible transient elevations in transaminases have been observed after trabectedin administration. A semimechanistic pharmacokinetic and pharmacodynamic (PKPD) model was developed to evaluate the time course of alanine aminotransferase (ALT) elevation, tolerance development, and the hepatoprotective effect of dexamethasone on trabectedin-induced transient transaminitis following different dosing schedules in cancer patients.

Patients And Methods: Trabectedin was administered to 711 patients as monotherapy (dose range: 0.024-1.8 mg/m(2)) as 1-, 3-, or 24-h infusions every 21 days; 1- or 3-h infusions on days 1, 8, and 15 every 28 days; or 1-h infusions daily for five consecutive days every 21 days. Population PKPD modeling was performed with covariate evaluation [dexamethasone use (469/711 pt), ECOG performance status scores (89.7% pts
Results: A precursor-dependent PKPD model described the temporal relationship between ALT elevation and trabectedin concentrations, where the transfer process of ALT from hepatocytes to plasma is stimulated by trabectedin plasma concentrations. Overall, 66% of patients had transaminitis. Mean predicted (%SEM) baseline ALT (ALT(o)) and t (1/2) in plasma were 31.5 (5.1) IU/L and 1.5 days, respectively. The magnitude of the trabectedin stimulation of the ALT transfer rate from hepatocytes to plasma was 11.4% per 100 pg/mL of trabectedin plasma concentration. Dexamethasone decreased the rate of trabectedin-induced ALT release from hepatocyte by 63% (P < 0.001). Model evaluation showed that the model predicted incidence of grade 3/4 transaminase elevation was similar to the observed values. Simulations showed that severity of ALT elevation was dose- and schedule-dependent. The dose reduction strategy decreased the incidence of grade >or=3 toxicity by 13 and 39% following two and four cycles of therapy, respectively.

Conclusions: A PKPD model quantifying the hepatoprotective effect of dexamethasone on transient and reversible transaminitis following trabectedin treatment has been developed. The model predicts that co-administration of dexamethasone and the suggested dose reduction strategy based on the serum concentration of liver enzymes will enhance the safe use of trabectedin in the clinic.
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http://dx.doi.org/10.1007/s00280-007-0583-8DOI Listing
June 2008

Population pharmacokinetic meta-analysis of trabectedin (ET-743, Yondelis) in cancer patients.

Clin Pharmacokinet 2007 ;46(10):867-84

Clinical Pharmacology, Johnson & Johnson Pharmaceutical Research & Development, a Division of Janssen Pharmaceutica NV, Beerse, Belgium.

Objective: To characterise the population pharmacokinetics of trabectedin (ET-743, Yondelis(R)) in cancer patients.

Methods: A total of 603 patients (945 cycles) receiving intravenous trabectedin as monotherapy at doses ranging from 0.024 to 1.8 mg/m(2) and given as a 1-, 3- or 24-hour infusion every 21 days; a 1- or 3-hour infusion on days 1, 8 and 15 of a 28-day cycle; or a 1-hour infusion daily for 5 consecutive days every 21 days were included in the analysis. An open four-compartment pharmacokinetic model with linear elimination, linear and nonlinear distribution to the deep and shallow peripheral compartments, respectively, and a catenary compartment off the shallow compartment was developed to best describe the index dataset using NONMEM V software. The effect of selected patient covariates on trabectedin pharmacokinetics was investigated. Model evaluation was performed using goodness-of-fit plots and relative error measurements for the test dataset. Simulations were undertaken to evaluate covariate effects on trabectedin pharmacokinetics.

Results: The mean (SD) trabectedin elimination half-life was approximately 180 (61.4) hours. Plasma accumulation was limited when trabectedin was given every 3 weeks. Systemic clearance (31.5 L/h, coefficient of variation 51%) was 19.2% higher in patients receiving concomitant dexamethasone. The typical values of the volume of distribution at steady state for male and female patients were 6070L and 5240L, respectively. Within the range studied, age, body size variables, AST, ALT, alkaline phosphatase, lactate dehydrogenase, total bilirubin, creatinine clearance, albumin, total protein, Eastern Cooperative Oncology Group performance status and presence of liver metastases were not statistically related to trabectedin pharmacokinetic parameters. The pharmacokinetic parameters of trabectedin were consistent across the infusion durations and dose regimens evaluated.

Conclusions: The integration of trabectedin pharmacokinetic data demonstrated linear elimination, dose-proportionality up to 1.8 mg/m(2) and time-independent pharmacokinetics. The pharmacokinetic impact of dexamethasone and sex covariates is probably limited given the moderate to large interindividual pharmacokinetic variability of trabectedin. The antiemetic and hepatoprotective effects are still a valid rationale to recommend dexamethasone as a supportive treatment for trabectedin.
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http://dx.doi.org/10.2165/00003088-200746100-00005DOI Listing
December 2007
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