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Asciminib is a first-in-class allosteric inhibitor of the kinase activity of BCR::ABL1, specifically targeting the ABL myristoyl pocket (STAMP). This review focuses on the pharmacokinetic (PK) and pharmacodynamic data of asciminib, which is approved at a total daily dose of 80 mg for the treatment of adult patients with chronic myeloid leukemia in chronic phase who are either resistant or intolerant to ≥ 2 tyrosine kinase inhibitors or those harboring the T315I mutation (at a dose of 200 mg twice daily). Asciminib is predicted to be almost completely absorbed from the gut, with an absolute bioavailability (F) of approximately 73%. It should be administered in a fasted state, as food (particularly high-fat meals) reduces exposure. Asciminib displays a slightly greater than dose-proportional increase in exposure, with no time-dependent changes in PK observed following repeated dosing. This drug shows low clearance (6.31 L/h), with a moderate volume of distribution (111 L) and high human plasma protein binding (97.3%). The apparent terminal elimination half-life (t 1/2 ) across studies was estimated to be between 7 and 15 h. The PK of asciminib is not substantially affected by body weight, age, gender, race, or renal or hepatic impairment. Asciminib is primarily metabolized via CYP3A4-mediated oxidation (36.0%) and UGT2B7- and UGT2B17-mediated glucuronidation (13.3% and 7.8%, respectively); biliary secretion via breast cancer resistance protein contributes to about 31.1% to total systemic clearance, which is mainly through hepatic metabolism and biliary secretion through the fecal pathway, with renal excretion playing a minor role. The potential for PK drug interaction for asciminib both as a victim and a perpetrator has been summarized here based on clinical and predicted drug-drug interaction studies. Robust exposure-response models characterized asciminib exposure-efficacy and exposure-safety relationships. In patients without the T315I mutation, the exposure-efficacy analysis of the time course of BCR::ABL1 IS percentages highlighted the existence of a slightly positive, albeit not clinically significant, relationship. Higher exposure was required for efficacy in patients harboring the T315I mutation compared with those who did not. The exposure-safety relationship analysis showed no apparent association between exposure and adverse events of interest over the broad range of exposure or dose levels investigated. Asciminib has also been shown to have no clinically relevant effect on cardiac repolarization. Here, we review the clinical pharmacology data available to date for asciminib that supported its clinical development program and regulatory applications., Competing Interests: Declarations Funding This work was supported by Novartis Pharma AG. Competing interests All authors are employees of Novartis. M.H., F.P.C., and A.C. are also Novartis stockholders. Author contributions M.H. conceived the article. All authors performed the literature search, drafted, and/or critically revised the work. Ethics approval Not applicable. Consent to participate Not applicable. Consent for publication Not applicable. Availability of data and material Not applicable. Code availability Not applicable., (© 2024. The Author(s).)

Background and Objective: Asciminib is approved in patients with Philadelphia chromosome-positive chronic myeloid leukemia in chronic phase (Ph+ CML-CP) treated with ≥ 2 prior tyrosine kinase inhibitors. Here, we aimed to demonstrate similarity in efficacy/safety of asciminib 80 mg once daily (q.d.) versus 40 mg twice daily (b.i.d.) in patients with CML-CP without T315I mutation and support the use of the 200-mg b.i.d. dosage in patients harboring T315I, using model-informed drug development., Methods: Data were collected from 199 patients in the phase I (NCT02081378; 10-200 mg b.i.d. or 10-400 mg q.d.) and 154 patients in the phase III (NCT03106779; 40 mg b.i.d.) studies. Evaluations were based on population pharmacokinetics (PopPK) and exposure-response (efficacy/safety) analyses., Results: PopPK showed comparable exposure (area under the curve, AUC 0-24h ) for 40 mg b.i.d. and 80 mg q.d. (12,638 vs 12,646 ng*h/mL); average maximum and minimum plasma concentrations for 80 mg q.d. were 1.61- and 0.72-fold those of 40 mg b.i.d., respectively. Exposure-response analyses predicted similar major molecular response rates for 40 mg b.i.d. and 80 mg q.d. (Week 24: 27.6% vs 24.8%; Week 48: 32.3% vs 30.6%). Results also established adequacy of 200 mg b.i.d. in patients with T315I mutation (Week 24: 20.7%; Week 48: 23.7%), along with a similar safety profile for all dose regimens., Conclusions: Similarity between 40 mg b.i.d. and 80 mg q.d. regimens was investigated, demonstrating similar and substantial efficacy with well-tolerated safety in patients without T315I mutation. The 200-mg b.i.d. dose was deemed safe and effective for patients with T315I mutation., (© 2024. The Author(s).)

Asciminib (Scemblix) is a first-in-class BCR::ABL1 inhibitor that works by specifically targeting the ABL myristoyl pocket (STAMP) and has potent activity against the T315I mutation. This study aimed to characterize the effect of asciminib exposure on disease progression and to elucidate factors influencing efficacy. Our analysis included 303 patients with chronic myeloid leukemia in chronic phase recruited in a phase I study with dose ranging from 10 to 200 mg twice a day (b.i.d.) or 40 to 200 mg once a day (q.d.) (NCT02081378) and in the phase III ASCEMBL (Study of Efficacy of CML-CP Patients Treated With ABL001 Versus Bosutinib, Previously Treated With 2 or More TKIs) study receiving asciminib 40 mg b.i.d. (NCT03106779). A total of 67 patients harbored the T315I mutation. A longitudinal pharmacokinetic/pharmacodynamic model was developed to characterize the exposure-efficacy relationship, in which the efficacy was assessed through BCR::ABL1 transcript levels over time. Specifically, a three-compartment model representing quiescent leukemic stem cells, proliferating bone marrow cells, and resistant cells was developed. Drug killing of the proliferating cells by asciminib was characterized by a power model. A subgroup analysis was performed on the patients with the T315I mutation using a maximum drug effect model to characterize the drug effect. The model demonstrated the appropriateness of a total daily dose of asciminib 80 mg in patients without the T315I mutation and 200 mg b.i.d. in patients with the T315I mutation with further validation in light of safety data. This model captured key characteristics of patients' response to asciminib and helped inform dosing rationale for resistant and difficult-to-treat populations., (© 2022 Novartis Pharmaceutical Corporation. Clinical Pharmacology & Therapeutics © 2022 American Society for Clinical Pharmacology and Therapeutics.)

Background: Asciminib, a first-in-class, highly potent and specific ABL/BCR-ABL1 inhibitor, has shown superior efficacy compared to bosutinib in patients with Philadelphia chromosome-positive chronic myeloid leukemia in chronic phase, treated with two or more tyrosine kinase inhibitors. This study aimed to describe pharmacokinetic (PK) properties of asciminib and to identify clinically relevant covariates impacting its exposure., Methods: A population PK (PopPK) model was developed using a two-compartment model with delayed first-order absorption and elimination. The analysis included PK data from two clinical studies (Phases 1 and 3) involving 353 patients, with total daily dose of asciminib in the range of 20-400 mg., Results: The nominal total daily dose was incorporated as a structural covariate on clearance (CL), and body weight (BW) was included as a structural covariate via allometric scaling on CL and central volume. Renal function and formulation were included as statistically significant covariates on CL and absorption (k a ), respectively. The simulation results revealed a modest but clinically non-significant effect of baseline BW and renal function on k a . Correlations between covariates, such as baseline demographics and disease characteristics, heavy smoking status, hepatic function, and T315I mutation status, were not statistically significant with respect to CL, and they were not incorporated in the final model. Additionally, the final model-based simulations demonstrated comparable exposure and CL for asciminib 40 mg twice daily and 80 mg once daily (an alternative regimen not studied in the Phase 3 trial), as well as similar PK properties in patients with and without the T315I mutation., Conclusions: The final PopPK model adequately characterized the PK properties of asciminib and assessed the impact of key covariates on its exposure. The model corroborates the use of the approved asciminib dose of 80 mg total daily dose as 40 mg twice daily, and supports the use of 80 mg once daily as an alternative dose regimen to facilitate patient's compliance. TRIAL REGISTRATION NUMBER [DATE OF REGISTRATION]: First-in-human (CABL001X2101, Phase 1), ClinicalTrials.gov identifier: NCT02081378 [28 February 2014]; ASCEMBL (CABL001A2301, Phase 3), ClinicalTrials.gov identifier: NCT03106779 [10 April 2017]., (© 2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)

Everolimus is currently approved in Europe as an adjunctive therapy for patients aged ≥ 2 years with tuberous sclerosis complex (TSC)-associated treatment-refractory partial-onset seizures, based on the EXIST-3 study (NCT01713946) results. As TSC-associated seizures can also affect children aged between 6 months and 2 years, a modeling and simulation (M&S) approach was undertaken to extrapolate exposure (trough plasma concentration (C min )) after a dose of 6 mg/m 2 and reduction in seizure frequency (RSF). A physiologically based pharmacokinetic model using Simcyp was developed to predict C min in adult and pediatric patients, which was then used by a population pharmacodynamic model and a linear mixed effect model to predict short-term and long-term efficacy in adults (for validation) and in children, respectively. Based on the results of the M&S study, everolimus at the dose of 6 mg/m 2 is anticipated to be an efficacious treatment in children 6 months to 2 years of age (up to 77.8% RSF) with concentrations within the recommended target range., (© 2020 Novartis Pharmaceutical Company. CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals, Inc. on behalf of the American Society for Clinical Pharmacology and Therapeutics.)

In adult patients, nilotinib is indicated for chronic myeloid leukemia at an approved oral dose of 300 or 400 mg BID. Physiologically based pharmacokinetic (PBPK) model was developed to describe and supplement limited PK data in the pediatric population ranging from 2 to less than 6 years of age and ultimately inform dosing regimen. An adult Simcyp PBPK model was established and verified with clinical pharmacokinetic data after a single or multiple oral doses of 400 mg nilotinib (230 mg/m 2 ). The model was then applied to a pediatric PBPK model, taking account of ontogeny profiles of metabolizing enzymes and pediatric physiological parameters. The model was further verified using observed pediatric PK data in 12- to <18-year-old and from 6- to <12-year-old patients. The PBPK models were able to recover, describe, and supplement the limited nilotinib concentration-time data profile in 2- to <6-year-old patients after a single dose and C min,ss after BID dosing. The exposure (C max,ss , C min,ss , and AUC tau,ss ) was predicted to be similar across age groups. PBPK model simulations confirmed that body surface area-normalized dosing regimen of 230 mg/m 2 is considered appropriate for pediatric patients >2 to <18 years of age., (Copyright © 2019 American Pharmacists Association®. Published by Elsevier Inc. All rights reserved.)

Everolimus is approved in Europe and in the USA for the adjunctive treatment of patients aged 2 years and older whose refractory partial-onset seizures, with or without secondary generalization, are associated with tuberous sclerosis complex. The objective of this analysis was to establish a population pharmacokinetic (PK)/pharmacodynamic model describing the relationship between seizure frequency and everolimus exposure to confirm the recommended target concentration range of 5-15 ng/mL. The PK model was a two-compartment model with first order absorption and clearance. CYP3A and P-gp inducers and body-surface area were shown to impact everolimus exposure, justifying dose adjustments. A Poisson distribution was found to adequately describe the random nature of daily seizure counts during the screening phase. A placebo effect on the Poisson seizure mean was implemented as an asymptotic exponential function of time leading to a new steady-state seizure mean. The everolimus effect was implemented as an inhibitory E max function of C min on the seizure mean, where E max exhibited an asymptotic exponential increase over time to a higher steady-state value. Increasing age was found to decrease the baseline seizure mean and to prolong the half-life of the increase in E max . The dependence of seizure frequencies on C min was explored by simulation. The responder rate increased with increasing C min . As C min decreased below 5 ng/mL, variability in response became larger and responder rates decreased more rapidly. The results supported the recommended target concentration range for everolimus of 5-15 ng/mL to ensure treatment efficacy.

Development of antiobesity drugs is continuously challenged by high dropout rates during clinical trials. The objective was to develop a population pharmacodynamic model that describes the temporal changes in body weight, considering disease progression, lifestyle intervention, and drug effects. Markov modeling (MM) was applied for quantification and characterization of responder and nonresponder as key drivers of dropout rates, to ultimately support the clinical trial simulations and the outcome in terms of trial adherence. Subjects (n = 4591) from 6 Contrave ® trials were included in this analysis. An indirect-response model developed by van Wart et al was used as a starting point. Inclusion of drug effect was dose driven using a population dose- and time-dependent pharmacodynamic (DTPD) model. Additionally, a population-pharmacokinetic parameter- and data (PPPD)-driven model was developed using the final DTPD model structure and final parameter estimates from a previously developed population pharmacokinetic model based on available Contrave ® pharmacokinetic concentrations. Last, MM was developed to predict transition rate probabilities among responder, nonresponder, and dropout states driven by the pharmacodynamic effect resulting from the DTPD or PPPD model. Covariates included in the models and parameters were diabetes mellitus and race. The linked DTPD-MM and PPPD-MM was able to predict transition rates among responder, nonresponder, and dropout states well. The analysis concluded that body-weight change is an important factor influencing dropout rates, and the MM depicted that overall a DTPD model-driven approach provides a reasonable prediction of clinical trial outcome probabilities similar to a pharmacokinetic-driven approach., (© 2017, The Authors. The Journal of Clinical Pharmacology published by Wiley Periodicals, Inc. on behalf of American College of Clinical Pharmacology.)

We compared the powers of the likelihood ratio test (LRT) and the Pearson correlation test (CT) from empirical Bayes estimates (EBEs) for various designs and shrinkages in the context of nonlinear mixed-effect modeling. Clinical trial simulation was performed with a simple pharmacokinetic model with various weight (WT) effects on volume (V). Data sets were analyzed with NONMEM 7.2 using first-order conditional estimation with interaction and stochastic approximation expectation maximization algorithms. The powers of LRT and CT in detecting the link between individual WT and V or clearance were computed to explore hidden or induced correlations, respectively. Although the different designs and variabilities could be related to the large shrinkage of the EBEs, type 1 errors and powers were similar in LRT and CT in all cases. Power was mostly influenced by covariate effect size and, to a lesser extent, by the informativeness of the design. Further studies with more models are needed.

Purpose: When information is sparse, individual parameters derived from a non-linear mixed effects model analysis can shrink to the mean. The objective of this work was to predict individual parameter shrinkage from the Bayesian information matrix (M BF ). We 1) Propose and evaluate an approximation of M BF by First-Order linearization (FO), 2) Explore by simulations the relationship between shrinkage and precision of estimates and 3) Evaluate prediction of shrinkage and individual parameter precision., Methods: We approximated M BF using FO. From the shrinkage formula in linear mixed effects models, we derived the predicted shrinkage from M BF . Shrinkage values were generated for parameters of two pharmacokinetic models by varying the structure and the magnitude of the random effect and residual error models as well as the design. We then evaluated the approximation of M BF FO and compared it to Monte-Carlo (MC) simulations. We finally compared expected and observed shrinkage as well as the predicted and estimated Standard Errors (SE) of individual parameters., Results: M BF FO was similar to M BF MC. Predicted and observed shrinkages were close . Predicted and estimated SE were similar., Conclusions: M BF FO enables prediction of shrinkage and SE of individual parameters. It can be used for design optimization.