Population pharmacokinetics and exposure-response modeling analyses of guselkumab in patients with psoriatic arthritis.

Guselkumab is an anti-interleukin-23 human monoclonal antibody effective in treating psoriatic arthritis (PsA). To characterize the pharmacokinetics (PKs) and exposure-response relationship of guselkumab in PsA, population PKs, and exposure-response modeling, analyses were conducted using data from pivotal phase III studies of subcutaneous guselkumab in patients with PsA. The observed serum concentration-time data of guselkumab were adequately described by a one-compartment linear PK model with first-order absorption and elimination. Covariates identified as contributing to the observed guselkumab PK variability were body weight and diabetes comorbidity; however, the magnitude of the effects of these covariates was not considered clinically relevant, and dose adjustment was not warranted for the patient population investigated. Positive exposure-response relationships were demonstrated with landmark and longitudinal exposure-response analyses between guselkumab exposure and clinical efficacy end points (American College of Rheumatology [ACR] 20%, 50%, and 70% improvement criteria and Investigator's Global Assessment [IGA] of psoriasis) at weeks 20 and/or 24, with no clinically relevant differences observed in improvement of PsA signs and symptoms between the two guselkumab treatment regimens evaluated (100 mg every 4 weeks or 100 mg at weeks 0 and 4, then every 8 weeks). Baseline Disease Activity Score in 28 joints (DAS28), Psoriasis Area and Severity Index (PASI) score, and/or C-reactive protein level were identified as influencing covariates on guselkumab exposure-response model parameters. These results provide a comprehensive evaluation of subcutaneous guselkumab PKs and exposure-response relationship that supports the dose regimen of 100 mg at weeks 0 and 4, then every 8 weeks in patients with PsA.

Translational PK/PD and model-informed development of JNJ-67842125, a Fab reversal agent for JNJ-64179375, a long-acting thrombin inhibitor.

BACKGROUND AND PURPOSE: Antigen-binding fragment (Fab ) reversal agents were developed to reverse, in bleeding emergency, the long-acting anticoagulant effect of JNJ-64179375 (JNJ-9375), a monoclonal antibody that binds exosite-1 on thrombin. EXPERIMENTAL APPROACH: The pharmacokinetic and pharmacodynamic (PK/PD) activities of three reversal agents of varying in vitro binding affinities to JNJ-9375 were characterised in cynomolgus monkeys. The time course of JNJ-9375 anticoagulant activity and reversal effects of each agent were evaluated. A mechanism-based PK/PD model, which integrated free serum concentrations of reversal agent, total and free serum concentrations of JNJ-9375, and thrombin time, was developed to quantitatively relate JNJ-9375 neutralisation to reversal of induced thrombin time prolongation. Model-based allometric scale-up of the lead reversal agent and the PK/PD relationship of JNJ-9375 in healthy volunteers were utilised to predict clinical dosing regimens. KEY RESULTS: Lowering of free JNJ-9375 by the reversal agents corresponded with reversal of thrombin time prolongation. Total JNJ-9375 displayed typical mAb clearance at 2.75 ml·day-1 ·kg-1 , whereas reversal agents cleared faster between 1400 and 2400 ml·day-1 ·kg-1 . The model-estimated in vivo KD values for JNJ-9375 reversal agents were 9 nM (ICHB-256), 0.4 nM (ICHB-281) and 13.7 pM (ICHB-164), in rank-ordered agreement of their KD values determined in vitro. The three reversal agents exhibited different neutralisation characteristics in vivo, governed primarily by their binding kinetics to JNJ-9375. The model predicted a priori free JNJ-9375 kinetics after dosing ICHB-164 (JNJ-67842125) and JNJ-9375 under a different regimen. CONCLUSION AND IMPLICATIONS: The results enabled selection of JNJ-67842125 as the reversal agent for JNJ-9375.

Open-label phase 3 study of intravenous golimumab in patients with polyarticular juvenile idiopathic arthritis.

OBJECTIVES: To assess efficacy, pharmacokinetics (PK) and safety of intravenous (i.v.) golimumab in patients with polyarticular-course JIA (pc-JIA). METHODS: Children aged 2 to <18 years with active pc-JIA despite MTX therapy for ≥2 months received 80 mg/m2 golimumab at weeks 0, 4, then every 8 weeks through week 52 plus MTX weekly through week 28. The primary and major secondary endpoints were PK exposure and model-predicted steady-state area under the curve (AUCss) over an 8-week dosing interval at weeks 28 and 52, respectively. JIA ACR response and safety were also assessed. RESULTS: In total, 127 children were treated with i.v. golimumab. JIA ACR 30, 50, 70, and 90 response rates were 84%, 80%, 70% and 47%, respectively, at week 28 and were maintained through week 52. Golimumab serum concentrations and AUCss were 0.40 µg/ml and 399 µg ⋅ day/ml at week 28. PK exposure was maintained at week 52. Steady-state trough golimumab concentrations and AUCss were consistent across age categories and comparable to i.v. golimumab dosed 2 mg/kg in adults with rheumatoid arthritis. Golimumab antibodies and neutralizing antibodies were detected via a highly sensitive drug-tolerant assay in 31% (39/125) and 19% (24/125) of patients, respectively. Median trough golimumab concentration was lower in antibody-positive vs antibody-negative patients. Serious infections were reported in 6% of patients, including one death due to septic shock. CONCLUSION: Body surface area-based dosing of i.v. golimumab was well tolerated and provided adequate PK exposure for clinical efficacy in paediatric patients with active pc-JIA.ClinicalTrials.gov number NCT02277444.

Application of Trial Simulation in the Design of a Prospective Study for Concentration-QTc Analysis in Support of a Thorough QT Study Waiver.

The concentration-QTc (C-QTc) analysis is often applied in the first-in-human (FIH) study to demonstrate the absence of a QTc effect in support of a TQT waiver. However, a C-QTc analysis without properly designed sensitivity could fail to conclude the absence of a QTc effect at high concentrations, even though the compound is QTc negative. This is because the 90% confidence interval (CI) of the model-derived ∆∆QTc grows wider with increasing concentration, and the upper-bound could cross the 10-ms threshold, even though the slope is close to 0. So far, there is no simple math formula to calculate the sensitivity/specificity of a C-QTc analysis. A PK/QTc trial simulation scheme was applied to optimize the design features of a C-QTc trial in FIH studies by evaluating the study's sensitivity over a wide concentration range, circumventing the problem of not knowing the target concentration during FIH studies. It was also used to ensure that the specificity of the trial was well-controlled. Simulation showed that the study sensitivity can be quantitatively gauged by optimizing the dose range, the number of samples per subjects or subject number, and by sampling around Tmax, and at steady-state. The specificity of the trial can also be evaluated with this approach, and it is important to combine model-derived ∆∆QTc and slope estimate in the evaluation. The trial simulation approach helps maximize the probability of success of C-QTc analyses in FIH studies intended to support a TQT waiver.

Trial Design and Statistical Considerations on the Assessment of Pharmacodynamic Similarity.

Pharmacodynamics (PD) similarity is an important component to support the claim of similarity between two drugs or devices. This article investigates the trial design and statistical considerations in the equivalence test of PD endpoints. Using bone resorption marker CTX as a case study, the relationship between the PD readouts and drug potency was explored to evaluate the sensitivity of the PD endpoint and guide equivalence margin selection. For PD data that have high baseline variability, one conventional similarity assessment method was to apply baseline-normalization followed by the standard bioequivalence (BE) test (Lancet Haematol. 4:e350-61, 2017, Ann Rheum Dis. 2017). This study showcased the drawbacks of the conventional method for PD data that were close to inhibition saturation, as the baseline-normalization significantly skewed the distribution of the PD data toward non-log-normal. In such cases, the standard BE test can produce an inflated type I error. Alternatively, ANCOVA, when applied to the un-normalized PD data with the baseline as a covariate, produced a satisfactory type I error with sufficient power. Therefore, ANCOVA was recommended for equivalence test of PD markers that has a saturated inhibition profile and high variability at baseline. Moreover, the relationship between PD readouts and drug potency was used to explore the sensitivity of the PD endpoint and it could help justify the equivalence margins, since the standard 80% to 125% BE margin often does not apply to PD. Finally, a decision tree was proposed to help guide the design of the PD equivalence study in the choice of PD endpoints and statistical methods.

Utilization of Adult Data in Designing Pediatric Pharmacokinetic Studies: How Much Are Historical Adult Data Worth?

In pediatric drug development, large amounts of adult data are often available before the start of a pediatric study. It is believed that borrowing this information will improve the efficiency. However, when adult information is not sufficiently similar to that of pediatrics, incorporating adult data will introduce bias and consequently result in efficiency loss. A Bayesian alternative-namely, commensurate prior approach where the level of information borrowing is based on the concordance of adult and pediatric data-was investigated. Simulation results indicate that the commensurate prior approach, in general, provides a balanced and robust trade-off between bias and efficiency gain. The benefit of this approach was quantified in terms of sample size savings, and recommended sample sizes are provided.

Dynamic population pharmacokinetic-pharmacodynamic modelling and simulation supports similar efficacy in glycosylated haemoglobin response with once or twice-daily dosing of canagliflozin.

AIM: Canagliflozin is an SGLT2 inhibitor approved for the treatment of type-2 diabetes. A dynamic population pharmacokinetic-pharmacodynamic (PK/PD) model relating 24-h canagliflozin exposure profiles to effects on glycosylated haemoglobin was developed to compare the efficacy of once-daily and twice-daily dosing. METHODS: Data from two clinical studies, one with once-daily, and the other with twice-daily dosing of canagliflozin as add-on to metformin were used (n = 1347). An established population PK model was used to predict full 24-h profiles from measured trough concentrations and/or baseline covariates. The dynamic PK/PD model incorporated an Emax relationship between 24-h canagliflozin exposure and HbA1c-lowering with baseline HbA1c affecting the efficacy. RESULTS: Internal and external model validation demonstrated that the model adequately predicted HbA1c-lowering for canagliflozin once-daily and twice-daily dosing regimens. The differences in HbA1c reduction between the twice-daily and daily mean profiles were minimal (at most 0.023% for 100 mg total daily dose [TDD] and 0.011% for 300 mg TDD, up to week 26, increasing with time and decreasing with TDD) and not considered clinically meaningful. CONCLUSIONS: Simulations using this model demonstrated the absence of clinically meaningful between-regimen differences in efficacy, supported the regulatory approval of a canagliflozin-metformin immediate release fixed-dose combination tablet and alleviated the need for an additional clinical study.

The method of averaging applied to pharmacokinetic/pharmacodynamic indirect response models.

The computational effort required to fit the pharmacodynamic (PD) part of a pharmacokinetic/pharmacodynamic (PK/PD) model can be considerable if the differential equations describing the model are solved numerically. This burden can be greatly reduced by applying the method of averaging (MAv) in the appropriate circumstances. The MAv gives an approximate solution, which is expected to be a good approximation when the PK profile is periodic (i.e. repeats its values in regular intervals) and the rate of change of the PD response is such that it is approximately constant over a single period of the PK profile. This paper explains the basis of the MAv by means of a simple mathematical derivation. The NONMEM® implementation of the MAv using the abbreviated FORTRAN function FUNCA is described and explained. The application of the MAv is illustrated by means of an example involving changes in glycated hemoglobin (HbA1c%) following administration of canagliflozin, a selective sodium glucose co-transporter 2 inhibitor. The PK/PD model applied to these data is fitted with NONMEM® using both the MAv and the standard method using a numerical differential equation solver (NDES). Both methods give virtually identical results but the NDES method takes almost 8 h to run both the estimation and covariance steps, whilst the MAv produces the same results in less than 30 s. An outline of the NONMEM® control stream and the FORTRAN code for the FUNCA function is provided in the appendices.

Evaluating potential benefits of dose-exposure-response modeling for dose finding.

Dose-regimen selection for confirmatory trials and characterization of dose-response relationship are arguably among the most important and difficult tasks in clinical drug development. Inadequate dose-regimen selection is believed to be one of the key drivers of the high attrition rate in Phase III. Nowadays, drug concentrations are routinely measured in patients in clinical studies throughout the drug development process. This drug exposure information is often used to explain some of the response variability. It could also be used to improve characterization of dose-response, and consequently result in a better dose-regimen selection. A simulation study was undertaken to assess the potential value of dose-response characterization methods that utilize exposure data relative to methods that only require dose and response data.

Innovative approaches for designing and analyzing adaptive dose-ranging trials.

Inadequate selection of the dose to bring forward in confirmatory trials has been identified as one of the key drivers of the decreasing success rates observed in drug development programs across the pharmaceutical industry. In recognition of this problem, the Pharmaceutical Research and Manufacturers of America (PhRMA), formed a working group to evaluate and develop alternative approaches to dose finding, including adaptive dose-ranging designs. This paper summarizes the work of the group, including the results and conclusions of a comprehensive simulation study, and puts forward recommendations on how to improve dose ranging in clinical development, including, but not limited to, the use of adaptive dose-ranging methods.

Phase I dose-finding study of weekly single-agent patupilone in patients with advanced solid tumors.

PURPOSE: To evaluate the safety and maximum-tolerated dose (MTD) of weekly patupilone, a natural epothilone B, in patients with advanced solid tumors. PATIENTS AND METHODS: Patients were treated with patupilone (0.3 to 3.6 mg/m2) for 6 weeks on/3 weeks off or 3 weeks on/1 week off. Dose-limiting toxicities (DLTs), MTD, and pharmacokinetics were determined for each schedule of administration. RESULTS: Ninety-one patients were enrolled. The most common tumor types included ovarian, breast, and colon cancers. Doses of patupilone less than 2.5 mg/m2 using either the 6 weeks on/3 weeks off or the 3 weeks on/1 week off schedule were tolerated well. At higher doses, DLTs were observed using both dosing schedules, with diarrhea the most common DLT. The MTD for both treatment schedules was 2.5 mg/m2. After a short infusion, patupilone blood concentrations declined in a multiphasic manner with a terminal half-life of 4 days. Drug clearance was nonrenal and was not related to body-surface area. Over the dose range evaluated, systemic drug exposure was approximately dose proportional. Three patients achieved a partial response, and 31 patients had stable disease. Two patients experiencing a partial response had received prior taxane therapy. CONCLUSION: Patupilone is well tolerated when administered at a dose of 2.5 mg/m2, using either a 6 weeks on/3 weeks off or a 3 weeks on/1 week off schedule. In contrast with murine studies, patupilone has a relatively prolonged terminal half-life in humans. The partial responses in patients previously treated with taxanes is consistent with promising preclinical results.

FTY720, a novel immunomodulator in de novo kidney transplant patients: pharmacokinetics and exposure-response relationship.

The pharmacokinetics, safety, and preliminary efficacy of FTY720, a novel immunomodulator, were examined in de novo renal transplant patients. Both noncompartmental and population methods were used to estimate pharmacokinetic estimates in the patients. The steady-state plasma concentrations of FTY720 increased in accordance with maintenance dose level, indicating linearity in clearance and volume of distribution over the 0.25- to 2.5-mg dose range. The pharmacokinetics of FTY720 in de novo renal transplant patients were characterized by the long terminal phase half-life of approximately 200 hours across doses, high volume of distribution (>3000 L), and low clearance (10.8 L/h). The intersubject variation of clearance was 55%, and the intrasubject variation of FTY720 concentrations was 28%. The population analysis revealed significant positive relationships between baseline alkaline phosphatase and clearance, as well as between baseline body weight on apparent volume of distribution. There was no relationship between FTY720 concentrations within a given FTY720 dose cohort and the rate of allograft rejection.

Everolimus in de novo cardiac transplantation: pharmacokinetics, therapeutic range, and influence on cyclosporine exposure.

We evaluated exposure, safety, and efficacy data from an international Phase 3 trial of everolimus in de novo heart transplantation to characterize the longitudinal pharmacokinetics of everolimus and cyclosporine and to identify a therapeutic concentration range for everolimus. We randomized 634 patients to receive either 0.75 mg everolimus twice daily, 1.5 mg everolimus twice daily, or azathioprine in addition to corticosteroids and cyclosporine. At 8 visits during the first 6 months after transplantation, we obtained 2,328 everolimus trough levels (Cmin) and 129 area-under-the-curve (AUC) profiles over the dosing interval in patients treated with everolimus; we collected 3,258 cyclosporine trough concentrations and 174 profiles in all 3 treatment arms. We used median-effect analysis to characterize exposure-response associations between everolimus average Cmin vs freedom from biopsy-confirmed acute rejection; maximum cholesterol, low density lipoprotein, triglyceride, and creatinine levels; and minimum leukocyte and platelet counts. Everolimus Cmins averaged 5.2 +/- 3.8 ng/ml and 9.4 +/- 6.3 ng/ml at the lower and upper dose levels. A 17% underproportionality was noted in Cmins; however, peak exposure and AUC were consistent with dose proportionality. Everolimus exposure was stable during the 6-month period. Interindividual variability was 37% for AUC and 40% for Cmin. The latter parameter was not influenced to a clinically relevant extent by sex, age, or weight. The Cmin was well correlated with AUC (r2 = 0.81). Everolimus Cmin was significantly related to freedom from rejection (p = 0.02) with 3 ng/ml being an informative lower threshold for efficacy. Thrombocytopenia, defined as <75 x 10(9)/liter, was related significantly to Cmin (p = 0.03); however, the incidence in this study was too low to establish an upper end for the therapeutic range. Lower doses of cyclosporine (by 15% to 19%) were used in patients treated with everolimus to achieve cyclosporine Cmins and AUCs similar to those in patients treated with azathioprine. Everolimus exposure was dose proportional and stable during the first 6 months after transplantation. Interindividual pharmacokinetic variability was high but not influenced by common demographic covariates. We observed a significantly increased risk of acute rejection at everolimus trough levels <3 ng/ml, which constitutes the lower therapeutic concentration limit when everolimus is used with conventionally dosed cyclosporine. Everolimus-related adverse events were manageable up to the highest troughs (22 ng/ml) observed in this population. We could not derive a precise upper therapeutic concentration limit from these data.

Pharmacokinetics of an everolimus-cyclosporine immunosuppressive regimen over the first 6 months after kidney transplantation.

The pharmacokinetics of everolimus were characterized over the first 6 months post transplant in 731 patients receiving either 0.75 or 1.5 mg bid everolimus in addition to cyclosporine and corticosteroids. Pharmacokinetic data consisted of 4014 everolimus trough concentrations (Cmin) obtained in all patients and 659 area under the concentration-time curve (AUC) -profiles obtained at months 2, 3, and 6 in a subset of 261 patients. Cmins averaged 4.3 +/- 2.4 and 7.2 +/- 4.2 ng/mL at 0.75 and 1.5 mg bid, indicating a 20% under-proportionality at the upper dose level. Cmins were 19-34% lower in the first month compared with months 2 through 6-values. AUC was dose-proportional and stable over time, averaging 77 +/- 32 and 136 +/- 57 ng.h.mL-1 at the two dose levels. Within- and between-patient variability in AUC were 27% and 31%, respectively. There was no influence of sex, age (16-66 years), or weight (42-132 kg) on AUC. Everolimus exposure was significantly lower by an average 20% in blacks. Everolimus exposure was relatively stable over the first 6 months post transplant, with no major departure from dose-proportionality over the therapeutic dose range. Weight-adjusted dosing (mg/kg) does not appear warranted. Black patients may have lower bioavailability and/or higher clearance of everolimus compared with white patients.