The new big is small: Leveraging knowledge from small trials for rare disease drug development: Blarcamesine for Rett syndrome.

Big data in drug development may not satisfactorily address the demands of precision medicine in a rare disease population, making the use of smaller clinical trials necessary. Consequently, the use of innovative design and analysis of these clinical trials using model-informed approaches have become indispensable. This requires informative exposure-outcome analysis, together with formal statistical analysis, which should include the strength of evidence for a study outcome. We demonstrate how knowledge can be gained, with supporting strength of evidence, from a small (data) clinical trial with a low dose of blarcamesine in the treatment of Rett syndrome. Based on a small data paradigm, pharmacometrics item response theory modelling and Bayes factor analysis were used to demonstrate the efficacy of blarcamesine in Rett syndrome.

Plasma concentration and eGFR in preterm and term neonates receiving gentamicin or successive amikacin therapy.

BACKGROUND: Gentamicin and amikacin are aminoglycoside antibiotics which are renally excreted and known to be nephrotoxic. Estimate of glomerular filtration rate (eGFR) per body surface area is lower in neonates than in adults and exposure to these drugs could lead to more suppression in kidney function. The aim of this study was to determine maximum and minimum plasma concentrations (Cmax and Cmin), time to reach Cmin levels of gentamicin and amikacin, and to assess eGFR in preterm and term neonates. METHODS: Two groups of patients were recruited, 44 neonates receiving gentamicin (5 mg/kg/24 h) and 35 neonates receiving amikacin (15 mg/kg/24 h) by slow intravenous injection. Patients on amikacin had been on gentamicin before being switched to amikacin. Two blood samples were drawn for the determination of the maximum and minimum plasma concentration. Primary outcomes were determination of Cmax, Cmin, and the time it took to clear the aminoglycoside to a plasma concentration below the toxicity threshold (gentamicin: < 1 mcg/mL; amikacin: < 5 mcg/mL. RESULTS: Therapeutic range for Cmax of gentamicin (15-25 mcg/mL) or amikacin (30-40 mcg/mL) was achieved in only 27.3 and 2.9% of neonates, respectively. Percentage of neonates reaching plasma concentrations below the toxicity threshold within the 24-hour dosing interval was 72.7% for gentamicin and 97.1% for amikacin. Positive correlation between gentamicin clearance and postnatal age borderline statistical significance (p = 0.007), while the correlation between amikacin clearance and postnatal age was poor and not statistically significant (r2 = - 0.30, p = 0.971). CONCLUSION: Although eGFR decreased significantly as a function of postnatal age in neonates receiving amikacin, the majority (91.4%) of these neonates were able to clear the drug to < 5 mcg/mL within a 24-hour dosing interval.

Population-Based Characterization of the Pharmacokinetics and Food Effect of ANAVEX3-71, a Novel Sigma-1 Receptor and Allosteric M1 Muscarinic Receptor Agonist in Development for Treatment of Frontotemporal Dementia, Schizophrenia, and Alzheimer Disease.

Pharmacokinetic (PK) data from 28 subjects who received 5-200-mg single ascending doses of ANAVEX3-71, formerly AF710B, were analyzed to characterize the PK of ANAVEX3-71 and its M8 metabolite. PK data from 12 subjects who received 160 mg ANAVEX3-71 under fed and fasted conditions were analyzed to characterize the effect of food on the PK of the drug and its M8 metabolite. PK was characterized using the standard 2-stage approach and the nonlinear mixed-effects modeling approach. Dose proportionality was determined using the power model. Two- and 3-compartment linear PK models were tested for the characterization of the PK of ANAVEX3-71 and its M8 metabolite. The PK of ANAVEX3-71 is linear, dose proportional, and time invariant. The drug is rapidly eliminated with a mean (standard deviation) apparent terminal elimination half-life of 3.56 (4.09) hours, while the M8 metabolite was eliminated with a mean (standard deviation) apparent terminal elimination half-life of 6.59 (1.64) hours. The population PK model was used to investigate the effects of covariates on the PK of ANAVEX3-71 and M8. Age, weight, and creatinine clearance were not explanatory of the variability in apparent clearance and apparent volume of the central compartment of ANAVEX3-71. Food had no effect on the PK of ANAVEX3-71 and its M8 metabolite.

Confirming the Suitability of a Gentamicin Dosing Strategy in Neonates Using the Population Pharmacokinetic Approach with Truncated Sampling Duration.

(1) Background: Gentamicin is known to be nephrotoxic and ototoxic. Although gentamicin dosage guidelines have been established for preterm and term neonates, reports do show attainment of recommended peak concentrations but toxic gentamicin concentrations are common in this age group. (2) Methods: This was a prospective, observational study conducted in Namibia with 52 neonates. A dose of 5 mg/kg gentamicin was administered over 3-5 s every 24 h in combination with benzylpenicillin 100,000 IU/kg/12 h or ampicillin 50 mg/kg/8 h. Two blood samples were collected from each participant using a truncated pharmacokinetic sampling schedule. (3) Results: The one-compartment linear pharmacokinetic model best described the data. Birthweight, postnatal age, and white blood cell count were predictive of clearance (CL), while birthweight was predictive of volume (V). For the typical neonate (median weight 1.57 kg, median postnatal age 4 days (0.011 years), median log-transformed WBC of 2.39), predicted CL and V were 0.069 L/h and 0.417 L, respectively-similar to literature values. Simulated gentamicin concentrations varied with respect to postnatal age and bodyweight. (4) Conclusions: A 5 mg/kg/24 h dosage regimen yielded simulated gentamicin concentrations with respect to age and birthweight similar to those previously reported in the literature to be safe and efficacious, confirming its appropriateness.

Predictors of gentamicin therapy failure in neonates with sepsis.

Sepsis is a common disease with high morbidity and mortality among newborns in intensive care units world-wide. Gram-negative bacillary bacteria are the major source of infection in neonates. Gentamicin is the most widely used aminoglycoside antibiotic in empiric therapy against early-onset sepsis. However, therapy failure may result due to various factors. The purpose of this study was to identify predictors of gentamicin therapy failure in neonates with sepsis. This was a prospective cross-sectional study at the Neonatal Intensive Care Unit at Windhoek Central Hospital over a period of 5 months in 2019. Neonates received intravenous gentamicin 5 mg/kg/24 h in combination with either benzylpenicillin 100 000 IU/kg/12 h or ampicillin 50 mg/kg/8 h. Logistic regression modeling was performed to determine the predictors of treatment outcomes. 36% of the 50 neonates were classified as having gentamicin treatment failure. Increasing treatment duration by 1 day resulted in odds of treatment failure increasing from 1.0 to 2.41. Similarly, one unit increase in CRP increases odds of gentamicin treatment failure by 49%. The 1 kg increase in birthweight reduces the log odds of treatment failure by 6.848, resulting in 99.9% decrease in the odds of treatment failure. One unit increase in WBC reduces odds of gentamicin treatment failure by 27%. Estimates of significant predictors of treatment failure were precise, yielding odds ratios that were within 95% confidence interval. This study identified the following as predictors of gentamicin therapy failure in neonates: prolonged duration of treatment, elevated C-reactive protein, low birthweight, and low white blood cell count.

A mechanistic assessment of the nature of pharmacodynamic drug-drug interaction in vivo and in vitro.

Combination pharmacotherapy is becoming increasingly necessary because most diseases are pathophysiologically controlled at the subcellular level by target proteins in a combinatorial manner. We demonstrate the application of the stimulus-response mechanistic model in characterising the drug and physiological properties of pharmacodynamic drug-drug interactions (PDDI) using previously published in vitro and in vivo drug combination experiments. The in vitro experiment tested the effect of a combination of SCH66336 and 4-HPR on the survival of in squamous cell carcinoma cell lines, while the in vivo experiment tested the effect of a combination of cetuximab and cisplatin on tumour growth inhibition in female xenograft mice. The model adequately described both experiments, quantified both system and drug properties and predicted the nature of the PDDI mechanism. Strong baseline signals of 7.35 and 610 units existed in the in vitro and in vivo experiments respectively. An overall synergistic relationship (interaction index = 1.03E-8) was detected in the in vitro experiment. In the in vivo model, the overall interaction index was 70,139.45 implying an antagonistic interaction between the cisplatin and the cetuximab signals.

Maximizing Knowledge Extraction From Patient-Reported Outcome Data Using Exposure-Outcome Item Response Modeling Approach: Understanding Efavirenz-Induced Central Nervous System Toxicity.

This investigation was undertaken to maximally extract hidden knowledge from an efavirenz-based trial data set using an item response theory-based approach to exposure-outcome analysis. The aim was to understand the influence of efavirenz exposure on the underlying neuropsychiatric impairment in HIV/AIDS patients. Data from 196 individuals with 4136 neuropsychiatric impairment symptom observations at baseline and 2 and 12 weeks of 600-mg efavirenz-based therapy was analyzed. The 7 symptoms were categorized as sleep disorders (3), hallucinations (3), and cognitive impairment (1). A longitudinal item response theory model incorporating 3 latent variables based on the symptom categories and a linear disease progression model with a symptomatic drug effect was developed in NONMEM 7.4.1. The model adequately characterized the observed symptoms and revealed the hidden knowledge on the informativeness of symptoms in characterizing the underlying neuropsychiatric impairment. Informativeness, which was affected by underlying impairment severity and efavirenz therapy duration, varied among symptoms. Sleep disorders were the most efavirenz-sensitive symptom category. Vivid dreams and auditory hallucinations were most informative in their respective symptom categories. Mini-Mental State Examination score cutoff levels used to classify the severity of cognitive impairment did not distinctively correspond with neuropsychiatric impairment severity. Efavirenz treatment effect on the severity of neuropsychiatric impairment was not more than 15%. Simulation of individual symptoms at the 400-mg dose only reduced the prevalence of sleep disorder symptoms. Use of the exposure-item response theory modeling approach maximally extracted hidden knowledge about efavirenz-induced neuropsychiatric impairment and appropriately characterized the impact of dose reduction on specific neuropsychiatric impairment symptoms.

Efficacy of Plinabulin vs Pegfilgrastim for Prevention of Chemotherapy-Induced Neutropenia in Adults With Non-Small Cell Lung Cancer: A Phase 2 Randomized Clinical Trial.

IMPORTANCE: Plinabulin is a novel, non-granulocyte colony-stimulating factor (GCSF) small molecule with both anticancer and neutropenia-prevention effects. OBJECTIVE: To assess the efficacy and safety of plinabulin compared with pegfilgrastim for the prevention of chemotherapy-induced neutropenia following docetaxel chemotherapy in patients with non-small lung cancer. DESIGN, SETTING, AND PARTICIPANTS: This was a randomized, open-label, phase 2 clinical trial of 4 treatment arms that was conducted in 19 cancer treatment centers in the United States, China, Russia, and Ukraine. Participants were adult patients with non-small cell lung cancer whose cancer had progressed after platinum-based chemotherapy. Data were collected from April 2017 through March 2018 and analyzed from August 2019 through February 2020. INTERVENTIONS: All patients received docetaxel 75 mg/m2 on day 1 and were randomly assigned to 1 of 3 doses of plinabulin (5, 10, or 20 mg/m2) on day 1 or to pegfilgrastim 6 mg on day 2. Patients were treated every 21 days for 4 chemotherapy cycles. MAIN OUTCOMES AND MEASURES: The primary end point was the determination of the recommended phase 3 dose of plinabulin based on the days of severe neutropenia during chemotherapy cycle 1. Daily complete blood cell counts and absolute neutrophil counts were drawn during times of anticipated neutropenia during cycle 1. RESULTS: Of the 55 patients randomized and evaluated, the mean (SD) age was 61.3 (10.2) years, and 38 (69.1%) were men. With each escalation of the plinabulin dose, the incidence of any grade of neutropenia decreased. There were no significant differences in mean (SD) days of severe neutropenia among those treated with pegfilgrastim (0.15 [0.38] days) when dosed at day 2 vs plinabulin 20 mg/m2 (0.36 [0.93] days; P = .76) when dosed at day 1, and no safety signals were detected. CONCLUSIONS AND RELEVANCE: Single dose-per-cycle plinabulin has a similar neutropenia protection benefit as pegfilgrastim. Plinabulin 40 mg fixed dose, which is pharmacologically equivalent to 20 mg/m2, will be compared with pegfilgrastim 6 mg in the phase 3 portion of this trial. Noninferior days of severe neutropenia will be the primary end point, and bone pain reduction, thrombocytopenia reduction, and quality of life maintenance will be secondary end points. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT03102606.

Pharmacometrics of clobazam in pediatrics: Prediction of effective clobazam doses for Dravet syndrome.

OBJECTIVE: To describe the use of a population pharmacokinetic (PopPK) model incorporating weight and ontogeny to identify effective clobazam (CLB) dosing for use in a clinical trial in pediatric patients with Dravet syndrome. METHODS: Pharmacokinetic data were combined from 3 CLB trials (OV-1012, OV-1017, and study 301) and a simulated study (study 401) for a total of 1306 CLB and 1305 N-desmethyl clobazam (N-CLB) samples from 193 Lennox-Gastaut syndrome patients and healthy subjects aged 6 months to 45 years. A structured approach based on US Food and Drug Administration guidance and pharmacometric knowledge discovery was developed using a nonlinear mixed-effects approach. Graphing and fitting using logistical weight regression were used to identify covariates for inclusion in the final model, which was evaluated using goodness-of-fit criteria and validated using prediction-corrected visual predictive check (pcVPC). Using the final PopPK model, a simulation study determined CLB and N-CLB distributions after 4 weeks of 1.5 and 2.0 mg/kg CLB. RESULTS: The parameters of the final PopPK model were similar to previous reports. Fixed-effect parameters were precisely estimated, with no significant increase in NONMEM objective function value. Intersubject variability estimates were similar to previous reports, with <35% shrinkage associated with parameter variability, except for intercompartmental clearance and apparent volumes of distribution of peripheral compartments. Goodness-of-fit plots and pcVPC show that the model adequately described CLB and N-CLB data. The CLB/N-CLB ratio in virtual study subjects aged <3 years was 0.23 for 1.5 and 2.0 mg/kg and was 0.14 for subjects aged ≥3 years, which is 2 to 3 times those reported in a previous stiripentol/CLB/valproate study in which seizure improvement was reported. SIGNIFICANCE: The PopPK model dosing parameters of 1.5 and 2.0 mg/kg are likely to result in efficacious concentrations of CLB and N-CLB in pediatric patients as young as 16 months. Dosages exceeding 1.5 mg/kg should be monitored for tolerability, particularly in patients aged <2 years, as there may be a higher incidence of sedation.

Clinical Proof-of-concept of a Novel Platform Utilizing Biopsy-derived Live Single Cells, Phenotypic Biomarkers, and Machine Learning Toward a Precision Risk Stratification Test for Prostate Cancer Grade Groups 1 and 2 (Gleason 3 + 3 and 3 + 4).

OBJECTIVE: To examine the ability of a novel live primary-cell phenotypic (LPCP) test to predict postsurgical adverse pathology (P-SAP) features and risk stratify patients based on SAP features in a blinded study utilizing radical prostatectomy (RP) surgical specimens. METHODS: Two hundred fifty-one men undergoing RP were enrolled in a prospective, multicenter (10), and proof-of-concept study in the United States. Fresh prostate samples were taken from known areas of cancer in the operating room immediately after RP. Samples were shipped and tested at a central laboratory. Utilizing the LPCP test, a suite of phenotypic biomarkers was analyzed and quantified using objective machine vision software. Biomarkers were objectively ranked via machine learning-derived statistical algorithms (MLDSA) to predict postsurgical adverse pathological features. Sensitivity and specificity were determined by comparing blinded predictions and unblinded RP surgical pathology reports, training MLDSAs on 70% of biopsy cells and testing MLDSAs on the remaining 30% of biopsy cells across the tested patient population. RESULTS: The LPCP test predicted adverse pathologies post-RP with area under the curve (AUC) via receiver operating characteristics analysis of greater than 0.80 and distinguished between Prostate Cancer Grade Groups 1, 2, and 3/Gleason Scores 3 + 3, 3 + 4, and 4 + 3. Further, LPCP derived-biomarker scores predicted Gleason pattern, stage, and adverse pathology with high precision-AUCs>0.80. CONCLUSION: Using MLDSA-derived phenotypic biomarker scores, the LPCP test successfully risk stratified Prostate Cancer Grade Groups 1, 2, and 3 (Gleason 3 + 3 and 7) into distinct subgroups predicted to have surgical adverse pathologies or not with high performance (>0.85 AUC).

Transition modeling of neuropsychiatric impairment in HIV.

Few studies have reported analyses of neuropsychiatric impairment (NPI) data from HIV patients, in a real world clinical setting with the aim of establishing association between anti-retroviral drug concentrations and NPI development and resolution. No study has modeled the effect of efavirenz exposure beyond the pre-steady state period on the frequency and duration of NPI. The data used consists of 196 HIV patients whose efavirenz pharmacokinetic parameters were previously determined. Neuropsychiatric evaluation was done at baseline, week 2 and week 12. Patients were classified into NORMAL and NPI states. The duration of NPI was further classified as transient (NPI at week 2 but not at week 12), persistent (NPI at week 2 and 12) and delayed (NPI at week 12 but not at week 2). The proportion of patients in each duration category out of the total NPI patients was calculated. A continuous time Markov model was developed in NONMEM 7.3 and used to describe the relationship between efavirenz exposure and the duration of NPI. Monte Carlo simulations with the model were used to describe the effect of efavirenz dose reduction from 600mg to 400mg on the duration of NPI. The model adequately described the data. The influence of efavirenz exposure on the rate of development of NPI decayed with a half-life of 8.4 days. Efavirenz dose reduction to 400mg significantly reduces the duration of NPI, but has no impact on delayed NPI symptoms or efficacy.

An integrative population pharmacokinetics approach to the characterization of the effect of hepatic impairment on clobazam pharmacokinetics.

An integrative population pharmacokinetics (PPK)-based approach was used to characterize the effect of hepatic impairment on clobazam PK and its major metabolite in systemic circulation, N-desmethylclobazam (N-CLB). At therapeutic clobazam dosages, N-CLB plasma concentrations are 3-5 times greater than the parent compound. PK data from clinical trials in patients with Lennox-Gastaut syndrome (LGS; OV-1002 and OV-1012), healthy participants (OV-1016), and participants with and without renal impairment (OV-1032), as well as those from a publication describing the effects of hepatic impairment on clobazam PK, were merged to create the PPK model. Individual patient clobazam PK parameters from the publication were used to generate patient plasma-concentration data. Clobazam PK was linear and the formation of N-CLB was elimination-rate limited. Hepatic impairment did not affect the total apparent clearance of clobazam but may affect the PK of N-CLB. Because the formation of N-CLB is elimination-rate limited and the total apparent clearance of clobazam is unaffected by hepatic impairment, the PPK model suggests that patients with LGS and hepatic impairment may not require clobazam dosage modification.

Drug-metabolism mechanism: Knowledge-based population pharmacokinetic approach for characterizing clobazam drug-drug interactions.

A metabolic mechanism-based characterization of antiepileptic drug-drug interactions (DDIs) with clobazam in patients with Lennox-Gastaut syndrome (LGS) was performed using a population pharmacokinetic (PPK) approach. To characterize potential DDIs with clobazam, pharmacokinetic (PK) data from 153 patients with LGS in study OV-1012 (NCT00518713) and 18 healthy participants in bioavailability study OV-1017 were pooled. Antiepileptic drugs (AEDs) were grouped based on their effects on the cytochrome P450 (CYP) isozymes responsible for the metabolism of clobazam and its metabolite, N-desmethylclobazam (N-CLB): CYP3A inducers (phenobarbital, phenytoin, and carbamazepine), CYP2C19 inducers (valproic acid, phenobarbital, phenytoin, and carbamazepine), or CYP2C19 inhibitors (felbamate, oxcarbazepine). CYP3A4 inducers-which did not affect the oral clearance of clobazam-significantly increased the formation of N-CLB by 9.4%, while CYP2C19 inducers significantly increased the apparent elimination rate of N-CLB by 10.5%, resulting in a negligible net change in the PK of the active metabolite. CYP2C19 inhibitors did not affect N-CLB elimination. Because concomitant use of AEDs that are either CYP450 inhibitors or inducers with clobazam in the treatment of LGS patients had negligible to no effect on clobazam PK in this study, dosage adjustments may not be required for clobazam in the presence of the AEDs investigated here.

A randomized, double-blind, placebo-controlled dose-escalation trial of merimepodib (VX-497) and interferon-alpha in previously untreated patients with chronic hepatitis C.

Inhibition of inosine monophosphate dehydrogenase (IMPDH) is one of several proposed mechanisms of action for ribavirin (RBV), a critical component of the current treatment for chronic hepatitis C (CHC). This study was a double-blind, placebo-controlled dose-escalation study of a novel, selective, orally active small molecule inhibitor of IMPDH, merimepodib (VX-497 or MMPD) in combination with standard interferon-alpha (IFN-alpha). Fifty-four treatment-naive patients with genotype-1 CHC were randomized to receive IFN-alpha 3 MIU subcutaneously three times a week, alone or in combination with 100 mg or 300 mg (every 8 h) of MMPD for 4 weeks. At the end of 4 weeks, all patients were offered 48 weeks of treatment with IFN-alpha/RBV. The objectives of the study were to evaluate the tolerability of the IFN-alpha/MMPD combination and to evaluate whether MMPD had an on-treatment effect on HCV-RNA, similar to RBV when added to IFN-alpha. The drug combination was generally well tolerated; one patient at the higher dose discontinued because of elevated alanine aminotransferase levels. No pharmacokinetic interactions were evident between the two drugs. Analysis of covariance that adjusted for a baseline imbalance in HCV-RNA in the intent-to-treat population did not show any significant differences between the treatment groups, or between MMPD plus IFN-alpha compared with IFN-alpha alone. However, the per-protocol primary efficacy analysis based on treatment-compliant patients demonstrated a greater reduction in mean HCV-RNA in the combination of 100 mg MMPD plus IFN-alpha compared with IFN-alpha alone (-1.78 log vs -0.86 log, P=0.037). In conclusion, the addition of a selective IMPDH inhibitor to IFN-alpha was well tolerated. In a low-dose range, the addition of MMPD may have the potential to add to the antiviral efficacy of IFN-alpha. Larger, longer duration trials incorporating pegylated IFN would be required to determine whether this combination, alone or with RBV, would increase either early or sustained virological response rates.

Safety and efficacy of the multidrug resistance inhibitor Incel (biricodar; VX-710) in combination with paclitaxel for advanced breast cancer refractory to paclitaxel.

PURPOSE: VX-710 (biricodar, Incel) restores drug sensitivity to P-glycoprotein (MDR1) and multidrug resistance-associated protein (MRP1)-expressing cells. This Phase II study evaluated the safety/tolerability, pharmacokinetics, and efficacy of VX-710 plus paclitaxel in women with locally advanced or metastatic breast cancer who were refractory to prior paclitaxel therapy. EXPERIMENTAL DESIGN: Eligible patients had paclitaxel-refractory disease defined as progressive disease after a minimum of two cycles of paclitaxel (weekly or 3-week schedule) or relapsed/progressive disease within 6 months of prior paclitaxel therapy. Patients received 80 mg/m(2) paclitaxel over 3 h starting 4 h after initiation of a 24-h continuous i.v. infusion of 120 mg/m(2)/h VX-710. Cycles were repeated every 3 weeks. RESULTS: Thirty-seven patients received study treatment and 35 were evaluable for response. VX-710 + paclitaxel therapy was generally well tolerated. Myelosuppression was the principal toxicity, with a median nadir ANC cycle 1 of 0.76 x 10(9) cells/liter and a 40% overall incidence of Grade 4 neutropenia. Nonhematological side effects (asthenia, paresthesia, headache, myalgia, nausea, and diarrhea) were generally mild to moderate and reversible. Paclitaxel AUC (16.8 +/- 5.0 microg x h/ml) and clearance (5.1 +/- 1.3 liters/h/m(2)) during the first treatment cycle were comparable with standard 175 mg/m(2) paclitaxel administered in a 3-h schedule. Four patients achieved partial responses (three of the four had progressive disease on prior paclitaxel) with a mean response duration of 5.5 months. CONCLUSIONS: The 11.4% (4 of 35) objective response rate observed in this study suggests that VX-710 can resensitize a subgroup of paclitaxel-refractory patients to paclitaxel. The safety and pharmacokinetics of the VX-710/pacitaxel regimen support further evaluation in breast cancer patients with initial paclitaxel therapy to prevent emergence of the MDR phenotype in recurrent disease.

Safety and efficacy of the multidrug-resistance inhibitor biricodar (VX-710) with concurrent doxorubicin in patients with anthracycline-resistant advanced soft tissue sarcoma.

PURPOSE: Incel (biricodar, VX-710) restores drug sensitivity to P-glycoprotein and multidrug resistance-associated protein-1-expressing cells. This Phase I/II study evaluated the safety/tolerability, pharmacokinetics, and efficacy of VX-710 plus doxorubicin in patients with inoperable, locally advanced or metastatic, anthracycline-resistant/refractory, soft tissue sarcoma. EXPERIMENTAL DESIGN: In Phase I, i.v. bolus doxorubicin at 60, 75, or 67.5 mg/m(2) was administered 8 h after initiation of a 72-h continuous i.v. (CIV) infusion of VX-710 (120 mg/m(2)/h) to cohorts of patients to establish a maximum tolerated dose. For efficacy evaluations in Phase II, eligible patients had inoperable, locally advanced or metastatic, anthracycline-resistant/refractory soft tissue sarcoma; < or =225 mg/m(2) cumulative prior doxorubicin; and adequate hematological, liver, and kidney function. Cycles were repeated every 3 weeks. RESULTS: Fourteen patients were enrolled in Phase I. Myelosuppression was the dose-limiting toxicity with 75 and then 67.5 mg/m(2) doxorubicin, and the maximum tolerated dose was established at 60 mg/m(2) with VX-710, 120 mg/m(2)/h, 72-h CIV. VX-710 had no apparent effect on doxorubicin pharmacokinetics. Twenty-nine patients enrolled in Phase II were treated with VX-710, 120 mg/m(2)/h 72-h CIV, and 60 mg/m(2) doxorubicin. Among 26 evaluable patients, minimal activity was noted among 11 patients with gastrointestinal stromal tumors (GISTs); however, in 15 patients with anthracycline-resistant sarcomas of other histologies, 2 achieved partial responses and 7 patients had disease stabilization with an overall median progression-free interval of 3.4 months. CONCLUSION: Anthracycline resistance in GISTs appears to be independent of P-glycoprotein or multidrug resistance-associated protein-1 resistance mechanisms. However, the combination of VX-710 and doxorubicin resulted in objective responses or disease stabilization in patients with strictly defined anthracycline-refractory non-GIST sarcomas, which warrants further evaluation.

Markov model for characterizing neuropsychologic impairment and Monte Carlo simulation for optimizing efavirenz therapy.

The study was undertaken to develop a pharmacokinetic-pharmacodynamic model to characterize efavirenz-induced neuropsychologic impairment, given preexistent impairment, which can be used for the optimization of efavirenz therapy via Monte Carlo simulations. The modeling was performed with NONMEM 7.2. A 1-compartment pharmacokinetic model was fitted to efavirenz concentration data from 196 Ugandan patients treated with a 600-mg daily efavirenz dose. Pharmacokinetic parameters and area under the curve (AUC) were derived. Neuropsychologic evaluation of the patients was done at baseline and in week 2 of antiretroviral therapy. A discrete-time 2-state first-order Markov model was developed to describe neuropsychologic impairment. Efavirenz AUC, day 3 efavirenz trough concentration, and female sex increased the probability (P01) of neuropsychologic impairment. Efavirenz oral clearance (CL/F) increased the probability (P10) of resolution of preexistent neuropsychologic impairment. The predictive performance of the reduced (final) model, given the data, incorporating AUC on P01and CL /F on P10, showed that the model adequately characterized the neuropsychologic impairment observed with efavirenz therapy. Simulations with the developed model predicted a 7% overall reduction in neuropsychologic impairment probability at 450 mg of efavirenz. We recommend a reduction in efavirenz dose from 600 to 450 mg, because the 450-mg dose has been shown to produce sustained antiretroviral efficacy.

Model appropriateness and population pharmacokinetic modeling.

The purpose of this study was to define model appropriateness, identifying the individual elements thereof, and to set out a framework within which model appropriateness could be determined for population pharmacokinetic (PPK) models. Model appropriateness was defined by stating the problem to be solved, with the intended use of the model being the pivotal event. The elements of model appropriateness were identified with the type of model (descriptive vs. predictive) determining which elements of model appropriateness need to be executed. An example is presented to show how model appropriateness is determined for the optimal application of PPK models. It was determined that PPK models are developed to solve problems. Model appropriateness depends on identifying the problem, as well as stating the intended use of the model, and requires evaluation of the model for goodness of fit, reliability, and stability if intended for descriptive purposes; for predictive models, validation would be an additional requirement. Descriptive models are used to explain variability in the pharmacokinetics (PK) of a drug, while predictive models are developed to extrapolate beyond the immediate study population. For those models used for predictive purposes, strong assumptions are made about the relationship to the underlying population from which the data were collected. As an example of determining model appropriateness, a PPK model for 5-fluorocytosine was developed, using NONMEM, version IV. The model was evaluated and validated by the process of percentile bootstrapping. From the PPK model, the range of expected serum concentrations based on two widely used dosing methods (Sanford and the University of California at San Diego [UCSD]) was simulated (Pharsight Trial Designer software). These results indicated that the UCSD method performed well and has the advantage of recommending convenient dosing intervals. In conclusion, considering and applying the principles of model appropriateness to PPK models will result in models that can be applied for their intended use with confidence. Model appropriateness was efficiently established and determined to address the problem of comparing competing dosing strategies.

Safety and efficacy of the MDR inhibitor Incel (biricodar, VX-710) in combination with mitoxantrone and prednisone in hormone-refractory prostate cancer.

PURPOSE: VX-710 (biricodar, Incel) restores drug sensitivity to cells expressing P-glycoprotein (P-gp) and multidrug resistance-associated protein (MRP1). MRP1 is expressed in a high proportion of prostate tumors while P-gp expression is variable. Since mitoxantrone (M) and prednisone (P) are substrates for MDR transporters, we initiated a study to evaluate the safety, pharmacokinetics, and efficacy of VX-710 plus M/P in patients with hormone-refractory prostate cancer (HRPC). PATIENTS AND METHODS: Eligible patients had progressive HRPC (defined as new lesions, new disease-related pain, or 50% increase in PSA within 6 weeks of entry), testosterone <30 ng/ml, no prior chemotherapy, ECOG performance status of 0-3, and adequate organ function. Patients received VX-710 (120 mg/m(2) per h) as a 72-h continuous intravenous infusion with intravenous bolus mitoxantrone (12 mg/m(2)) administered 4 h after VX-710 was started and prednisone (5 mg twice daily) administered throughout the study treatment. Endpoints included serum PSA response, PSA response duration, time to PSA progression, pain reduction, and quality of life measures. RESULTS: Enrolled in the study were 40 patients and 184 courses of VX-710 plus M/P were administered. Intensive pharmacokinetics, which were performed on six patients who received one cycle of M/P alone, followed by VX-710 plus M/P for all other cycles, showed that VX-710 did not alter mitoxantrone clearance. VX-710 blood concentration at the time of mitoxantrone administration averaged 4.52 microg/ml. VX-710 plus M/P was well tolerated. Transient nausea/vomiting and mild neutropenia were the principal treatment toxicities. Five patients experienced an uncomplicated febrile neutropenic episode (12%), three had severe nausea/vomiting, and two experienced transient moderate to severe ataxia. Of the 40 patients, 12 (30%, 95% confidence interval 16-44%) had a reduction in PSA of >/=50% and 9 of the 12 patients (23% overall, 95% CI 10-35%) achieved a reduction in PSA of >/=80% that was sustained for the duration of treatment with M/P plus VX-710. The median time to PSA progression was 41 weeks (95% CI 34-68 weeks). Of the 40 patients, 15 completed treatment with stable disease and 13 had progressive disease with increasing serum PSA during study treatment. Median survival was 48 weeks for the intent-to-treat population of 40 patients. CONCLUSIONS: The addition of VX-710 to M/P therapy did not appear to increase the proportion of patients with significant serum PSA reductions compared to M/P alone. However, the duration of PSA response observed for the 12 PSA responders suggests that MDR inhibition may benefit some patients with HRPC. In addition to MRP1 or P-gp expression, other mechanisms of drug resistance are probably associated with the relative insensitivity of HRPC to cytotoxic therapy.

Estimating inestimable standard errors in population pharmacokinetic studies: the bootstrap with Winsorization.

A simulation study was performed to determine how inestimable standard errors could be obtained when population pharmacokinetic analysis is performed with the NONMEM software on data from small sample size phase I studies. Plausible sets of concentration-time data for nineteen subjects were simulated using an incomplete longitudinal population pharmacokinetic study design, and parameters of a drug in development that exhibits two compartment linear pharmacokinetics with single dose first order input. They were analyzed with the NONMEM program. Standard errors for model parameters were computed from the simulated parameter values to serve as true standard errors of estimates. The nonparametric bootstrap approach was used to generate replicate data sets from the simulated data and analyzed with NONMEM. Because of the sensitivity of the bootstrap to extreme values, winsorization was applied to parameter estimates. Winsorized mean parameters and their standard errors were computed and compared with their true values as well as the non-winsorized estimates. Percent bias was used to judge the performance of the bootstrap approach (with or without winsorization) in estimating inestimable standard errors of population pharmacokinetic parameters. Winsorized standard error estimates were generally more accurate than non-winsorized estimates because the distribution of most parameter estimates were skewed, sometimes with heavy tails. Using the bootstrap approach combined with winsorization, inestimable robust standard errors can be obtained for NONMEM estimated population pharmacokinetic parameters with > or = 150 bootstrap replicates. This approach was also applied to a real data set and a similar outcome was obtained. This investigation provides a structural framework for estimating inestimable standard errors when NONMEM is used for population pharmacokinetic modeling involving small sample sizes.