Tisotumab vedotin in Japanese patients with recurrent/metastatic cervical cancer: Results from the innovaTV 206 study.

New treatments, particularly second-line options, are needed to improve outcomes for patients with recurrent/metastatic cervical cancer (r/mCC). Tisotumab vedotin (TV) is an antibody-drug conjugate directed to tissue factor, a transmembrane protein commonly expressed in cancer cells, to deliver cytotoxic monomethyl auristatin E. This single-arm, open-label phase 1/2 trial evaluated the consistency of safety and efficacy outcomes of TV in Japanese patients with r/mCC to bridge the current findings with those reported in previous trials in non-Japanese patients in the United States and Europe. In part 1 (dose escalation; N = 6), patients with advanced solid tumors received TV 1.5 or 2.0 mg/kg once every 3 weeks to determine the maximum tolerated dose (MTD) and recommended phase 2 dose (RP2D). Part 2 (dose expansion; N = 17) evaluated the RP2D in r/mCC patients with 1-2 prior lines of therapy. In part 1, no dose-limiting toxicities were observed, the MTD was not reached, and TV 2.0 mg/kg was established as the RP2D. In part 2, the most common treatment-emergent adverse events were anemia (58.8%), nausea (58.8%), alopecia (47.1%), epistaxis (47.1%), and diarrhea (35.3%); adverse events of special interest were bleeding (76.5%), ocular events (35.3%), and peripheral neuropathy (17.6%), and were mostly grade 1/2. In part 2, confirmed objective response rate was 29.4%, median duration of response was 7.1 months, and median time to response was 1.2 months. In Japanese patients with r/mCC, TV demonstrated a manageable and tolerable safety, pharmacokinetics, and efficacy profile consistent with that observed in non-Japanese patients.

Methods for determining key components in a mathematical model for tumor-immune dynamics in multiple myeloma.

In this work, we analyze a mathematical model we introduced previously for the dynamics of multiple myeloma and the immune system. We focus on four main aspects: (1) obtaining and justifying ranges and values for all parameters in the model; (2) determining a subset of parameters to which the model is most sensitive; (3) determining which parameters in this subset can be uniquely estimated given certain types of data; and (4) exploring the model numerically. Using global sensitivity analysis techniques, we found that the model is most sensitive to certain growth, loss, and efficacy parameters. This analysis provides the foundation for a future application of the model: prediction of optimal combination regimens in patients with multiple myeloma.

Model-based pharmacokinetic analysis of elotuzumab in patients with relapsed/refractory multiple myeloma.

Elotuzumab is a humanized immunoglobulin G1 monoclonal antibody in development for the treatment of patients with multiple myeloma who have received one or more prior therapies. In this work, 6958 elotuzumab serum concentrations from 375 patients enrolled in four Phase 1 to 3 clinical trials were used to analyze the pharmacokinetics (PK) of elotuzumab. A population PK model with parallel linear and Michaelis-Menten elimination from the central compartment and limited-capacity target-mediated elimination from the peripheral compartment described the elotuzumab concentration-time course. Clearance of elotuzumab increased with increasing body weight and weight-based dosing generated uniform exposures across a range of body weights. Coadministration of lenalidomide/dexamethasone background therapy decreased elotuzumab nonspecific clearance by 35 %. Target-mediated elimination of elotuzumab increased with increasing baseline serum M-protein, resulting in lower exposure in patients with high baseline serum M-protein concentration. Age, race, sex, renal and hepatic function, Eastern Cooperative Oncology Group performance status, lactate dehydrogenase, albumin and ß2-microglobulin had less than 20 % effect on model parameters and are unlikely to have clinically meaningful effects. Impact of anti-drug antibodies (ADAs) on the PK of elotuzumab was assessed as an ad hoc analysis. In the majority of ADA-positive patients, immunogenicity started early, was transient and resolved by 2-4 months. Since the majority of patients had ADAs detected early, this resulted in a corresponding transient increase in nonspecific clearance at these time points. Nonspecific clearance appeared to return to baseline at later time points when ADAs were no longer detected.

Exposure-safety and exposure-efficacy analyses for tisotumab vedotin for patients with locally advanced or metastatic solid tumors.

The antibody-drug conjugate (ADC) tisotumab vedotin (TV) received accelerated approval from the US Food and Drug Administration for treatment of adults with recurrent or metastatic cervical cancer (r/mCC) with disease progression on or after chemotherapy. A population pharmacokinetic (PK) model, developed using dosing data from four clinical TV studies, was used to estimate individual exposure and explore safety and efficacy exposure-response (ER) relationships. Because PK analysis showed no appreciable accumulation of TV and monomethyl auristatin E (MMAE) with repeated dosing, cycle 1 exposure metrics and predicted average concentrations from time zero until end of the cycle in which an event occurred (CavgLast ) were used for ER analyses. The probability of achieving objective response increased significantly as the ADC cycle 1 maximum serum concentration (Cmax ) increased. The probability of treatment-related adverse events (AEs) leading to dose modification increased significantly as ADC cycle 1 area under the concentration-time curve (AUC) increased. Number of grade 2+ ocular AEs increased significantly as ADC cycle 1 AUC, Cmax , and ADC CavgLast increased. MMAE cycle 1 AUC predicted risk of serious treatment-related AEs. The relationship between ADC exposure and efficacy end points suggests ADC treatment was associated with clinically meaningful response across the observed exposures; greater exposure was associated with increased efficacy. The relationship between ADC and MMAE exposure and safety end points suggests increased exposure was associated with increased AE risk. These results align with clinical findings showing TV 2 mg/kg (≤200 mg for patients ≥100 kg) every 3 weeks is efficacious and tolerable for patients with r/mCC.

Population pharmacokinetic analysis for tisotumab vedotin in patients with locally advanced and/or metastatic solid tumors.

Tisotumab vedotin is an investigational antibody-drug conjugate (ADC) for treatment of solid tumors expressing tissue factor with accelerated approval from the US Food and Drug Administration for treatment of recurrent or metastatic cervical cancer with disease progression during or after chemotherapy. This study describes development of a population pharmacokinetic (PK) model to assess the PK profile of tisotumab vedotin and microtubule-disrupting agent monomethyl auristatin E (MMAE) using data from 399 patients with solid tumors across four phase I/II trials. The ADC-MMAE model describes ADC and MMAE concentrations following intravenous administration of tisotumab vedotin. This four-compartment model comprises a two-compartment ADC model with parallel linear and Michaelis-Menten elimination, a delay compartment, and a one-compartment MMAE model. Nonspecific linear clearance of ADC was 1.42 L/day, central volume of distribution (Vc ) was 3.10 L, and median terminal half-life of ADC was 4.04 days. Apparent clearance of MMAE was 42.8 L/day, and apparent volume of distribution was 2.09 L. Terminal slope of the MMAE concentration-time curve was defined by the delay compartment rate with a half-life of 2.56 days. Patients with higher body weight and lower albumin concentration had faster ADC clearance. Male patients and those with higher body weight and lower albumin concentration had higher Vc . Body weight was the most influential covariate influencing distribution and elimination of ADC and MMAE, thus supporting weight-based dosing of tisotumab vedotin. Presence of antidrug antibodies (detected in 3.3% of patients) did not affect key PK parameters or exposures for ADC and MMAE.

Dosing equation for tacrolimus using genetic variants and clinical factors.

AIM: To develop a dosing equation for tacrolimus, using genetic and clinical factors from a large cohort of kidney transplant recipients. Clinical factors and six genetic variants were screened for importance towards tacrolimus clearance (CL/F). METHODS: Clinical data, tacrolimus troughs and corresponding doses were collected from 681 kidney transplant recipients in a multicentre observational study in the USA and Canada for the first 6 months post transplant. The patients were genotyped for 2,724 single nucleotide polymorphisms using a customized Affymetrix SNP chip. Clinical factors and the most important SNPs (rs776746, rs12114000, rs3734354, rs4926, rs3135506 and rs2608555) were analysed for their influence on tacrolimus CL/F. RESULTS: The CYP3A5*1 genotype, days post transplant, age, transplant at a steroid sparing centre and calcium channel blocker (CCB) use significantly influenced tacrolimus CL/F. The final model describing CL/F (l h(-1)) was: 38.4 ×[(0.86, if days 6-10) or (0.71, if days 11-180)]×[(1.69, if CYP3A5*1/*3 genotype) or (2.00, if CYP3A5*1/*1 genotype)]× (0.70, if receiving a transplant at a steroid sparing centre) × ([age in years/50](-0.4)) × (0.94, if CCB is present). The dose to achieve the desired trough is then prospectively determined using the individuals CL/F estimate. CONCLUSIONS: The CYP3A5*1 genotype and four clinical factors were important for tacrolimus CL/F. An individualized dose is easily determined from the predicted CL/F. This study is important towards individualization of dosing in the clinical setting and may increase the number of patients achieving the target concentration. This equation requires validation in an independent cohort of kidney transplant recipients.

Is relief from diabetes just a breath away?

Pulmonary insulin delivery is steadily emerging as a promising solution for the treatment of diabetes mellitus. The large as well as thin absorptive area of the lungs has not been explored until now for the treatment of systemic disease like diabetes. With an understanding of the lung anatomy and physiology and the transport mechanism of insulin through lungs, diabetic treatment through the pulmonary route may well become the reality of the 21(st) century. Though the transport of insulin through the lungs itself appears quite encouraging, potential problems concerning the formulation of a peptide like insulin in the form of an aerosol seem to be the most challenging. Stability aspects, stringent control of Mass Median Aerodynamic Diameter, antigenicity, insulin losses due to the device and impaction, sedimentation and diffusion in the nonabsorptive areas of the airway system (especially in the oropharynx) emerge as major concerns. This is in addition to the problems of lack of reproducibility of dose delivery by an inhaler where individual variations due to inspiratory differences and method of use of device come into play. Lung diseases and smoking may alter lung mechanisms and dose alterations are to be studied in such cases. Though almost equally effective, if not more, than the subcutaneous insulin route, even with proved short-term efficacy, insulin delivery through lungs is a potential but not a wholly proven means for blood glucose control.

Reporting, Visualization, and Modeling of Immunogenicity Data to Assess Its Impact on Pharmacokinetics, Efficacy, and Safety of Monoclonal Antibodies.

The rapidly increasing number of therapeutic biologics in development has led to a growing recognition of the need for improvements in immunogenicity assessment. Published data are often inadequate to assess the impact of an antidrug antibody (ADA) on pharmacokinetics, safety, and efficacy, and enable a fully informed decision about patient management in the event of ADA development. The recent introduction of detailed regulatory guidance for industry should help address many past inadequacies in immunogenicity assessment. Nonetheless, careful analysis of gathered data and clear reporting of results are critical to a full understanding of the clinical relevance of ADAs, but have not been widely considered in published literature to date. Here, we review visualization and modeling of immunogenicity data. We present several relatively simple visualization techniques that can provide preliminary information about the kinetics and magnitude of ADA responses, and their impact on pharmacokinetics and clinical endpoints for a given therapeutic protein. We focus on individual sample- and patient-level data, which can be used to build a picture of any trends, thereby guiding analysis of the overall study population. We also discuss methods for modeling ADA data to investigate the impact of immunogenicity on pharmacokinetics, efficacy, and safety.

The Clinical Pharmacology of Elotuzumab.

Novel treatment options are needed to improve long-term outcomes for patients with multiple myeloma (MM). In this article, we comprehensively review the clinical pharmacology of elotuzumab, a first-in-class monoclonal anti-SLAMF7 antibody approved in combination with lenalidomide and dexamethasone (ELd) for the treatment of patients with MM and one to three prior therapies. Elotuzumab has a dual mechanism of action to specifically kill myeloma cells: binding SLAMF7 on myeloma cells facilitates natural killer (NK) cell-mediated antibody-dependent cellular cytotoxicity (ADCC), and direct engagement of SLAMF7 on NK cells further enhances NK cell activity. Elotuzumab administration causes transient elevations of selected cytokines (tumor necrosis factor-α, interferon-γ-induced protein-10 and monocyte chemoattractant protein-1). The temporary nature of these elevations (greatest after the first dose, with a trend to return to baseline by day 7) suggests a low likelihood of facilitating clinically meaningful drug-drug interactions. Elotuzumab exposure increases more than proportionally to dose and >80% SLAMF7 receptor occupancy is achieved with the approved elotuzumab 10 mg/kg regimen. Population pharmacokinetic data from 375 patients demonstrated weight-based dosing is appropriate for elotuzumab, and that ethnicity and hepatic/renal function have minimal effects on exposure. Exposure-response analysis of patients treated with ELd demonstrated that increased elotuzumab exposure does not elevate the risk of grade 3+ adverse events (AEs) or AEs leading to discontinuation/death. Elotuzumab antidrug antibodies occurred in 18.5% of patients treated with ELd or elotuzumab plus bortezomib and dexamethasone, but were generally transient and did not affect elotuzumab efficacy or safety. A monotherapy study indicated elotuzumab does not have clinically relevant effects on QT intervals.

An Integrated Assessment of the Effects of Immunogenicity on the Pharmacokinetics, Safety, and Efficacy of Elotuzumab.

Elotuzumab is a humanized, immunostimulatory anti-signaling lymphocytic activation molecule F7 (SLAMF7) IgG1 monoclonal antibody indicated in combination with lenalidomide and dexamethasone for patients with multiple myeloma (MM) who have received 1-3 prior therapies. We assessed the immunogenicity of elotuzumab as a monotherapy and in combination with bortezomib/dexamethasone and lenalidomide/dexamethasone in patients with MM in five clinical studies, including the pivotal ELOQUENT-2 trial (NCT01239797). Anti-drug antibody (ADA) prevalence was determined using a validated bridging assay. The prevalence of neutralizing antibodies (NAbs) was assessed in ADA-positive samples from ELOQUENT-2. Data from four trials of elotuzumab combined with lenalidomide/dexamethasone or bortezomib/dexamethasone (n = 390 evaluable patients) demonstrated that nine (2.3%) patients were ADA positive in baseline assays, 72 (18.5%) were ADA positive on-treatment or during follow-up, and two (0.5%) developed persistent ADAs. Patients treated with elotuzumab monotherapy had a higher incidence of elotuzumab ADAs than those on the combination therapy. In general, ADAs developed early and resolved after 2-4 months. Of 45 on-treatment ADA-positive patients in ELOQUENT-2, 19 had NAbs. Population pharmacokinetic modeling demonstrated an apparent increase in target-mediated elimination (higher V max, lower K M) in ADA-positive versus ADA-negative patients. ADAs were associated with lower elotuzumab steady-state exposure; however, this result may have been confounded by differential myeloma protein levels. ADAs/NAbs were not associated with hypersensitivity, infusion reactions, or loss of elotuzumab efficacy. Using a novel visualization, we also demonstrate that there is no clear relationship between the occurrence and titer values of ADA/NAbs and progression-free survival and best overall response status in patients treated with elotuzumab.

Effects of elotuzumab on QT interval and cardiac safety in patients with multiple myeloma.

PURPOSE: To assess the effect of elotuzumab on corrected QT (QTc) intervals and cardiac safety. METHODS: Patients with high-risk smoldering multiple myeloma who had been treated with elotuzumab monotherapy (10 or 20 mg/kg) in Study CA204011 (NCT01441973) underwent electrocardiogram (ECG) examination over 8-10 weeks (treatment cycles 1-3). ECG intervals and changes relative to baseline were assessed. The key ECG endpoint was change from baseline in QT interval corrected with Fridericia's method (ΔQTcF). The relationship between elotuzumab concentration and ΔQTcF was assessed using time-matched ΔQTcF data and linear regression. Adverse events (AEs) potentially related to abnormal ECG findings were summarized. RESULTS: There was no trend of change from baseline in QTcF, PR and QRS intervals among all 31 evaluable patients from Study CA204011, and no patient assessed had a QTcF interval >480 ms or a ΔQTcF >60 ms. Concentration-response modeling indicated that there was no significant relationship between ΔQTcF and elotuzumab serum concentration: Upper limits of 90% confidence intervals for mean change in QTcF were <10 ms over the range of observed elotuzumab concentrations. No ECG-assessed patient had an AE associated with abnormal ECG findings potentially related to proarrhythmia. CONCLUSIONS: Study CA204011 ECG data indicate that elotuzumab treatment was not associated with QT/QTc prolongation. Concentration-response modeling demonstrated that baseline-adjusted QTcF changes did not cross thresholds for clinical or regulatory concern.

Osteoarthritis disease progression model using six year follow-up data from the osteoarthritis initiative.

The objective was to develop a quantitative model of disease progression of knee osteoarthritis over 6 years using the total WOMAC score from patients enrolled into the Osteoarthritis Initiative (OAI) study. The analysis was performed using data from the Osteoarthritis Initiative database. The time course of the total WOMAC score of patients enrolled into the progression cohort was characterized using non-linear mixed effect modeling in NONMEM. The effect of covariates on the status of the disease and the progression rate was investigated. The final model provided a good description of the experimental data using a linear progression model with a common baseline (19 units of the total WOMAC score). The WOMAC score decreased by 1.77 units/year in 89% of the population or increased by 1.74 units/year in 11% of the population. Multiple covariates were found to affect the baseline and the rate of progression, including BMI, sex, race, the use of pain medications, and the limitation in activity due to symptoms. A mathematical model to describe the disease progression of osteoarthritis in the studied population was developed. The model identified two sub-populations with increasing or decreasing total WOMAC score over time, and the effect of important covariates was quantified.

Validation of tacrolimus equation to predict troughs using genetic and clinical factors.

AIM: Tacrolimus is an immunosuppressant used in transplantation. This article reports the validation of the authors' recently developed genetics-based tacrolimus equation that predicts troughs. METHODS: Validation was performed in an independent cohort of 795 kidney transplant recipients receiving tacrolimus. The performance of the equation to predict initial troughs was assessed by calculating the bias and precision of the equation. For all troughs in the first 6 months post-transplant, a comparison was made between the troughs predicted using the equation versus those predicted using a basic apparent clearance model with no covariates. RESULTS: For initial troughs, the equation had a low bias (0.2 ng/ml) and high precision (1.8 ng/ml). For all troughs, the equation predicted troughs significantly better than the basic apparent clearance model. CONCLUSION: The tacrolimus equation had good bias and precision in predicting initial troughs and performed better than a basic apparent clearance model for all the troughs.