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ArticleClinical pharmacokinetics2026

Leveraging Model-Informed Drug Development to Predict Asciminib Efficacy in Second-Line Treatment of Chronic Myeloid Leukemia in Chronic Phase.

Sherwin K B Sy, Deok Yong Yoon, Yiqun Yang, Christelle Darstein, Kohinoor Dasgupta, Shruti Kapoor, Shengyuan Wu, Yasunori Kawakita, Matthias Hoch, Kai Grosch

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Article in Clinical pharmacokinetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

10 authors.

Sherwin K B SyAdvanced Quantitative Sciences, Novartis Pharmaceuticals Corporation, One Health Plaza, East Hanover, NJ, 07936-1080, USA. sherwin.sy@novartis.com.ORCID 0000-0001-6405-9130
Deok Yong YoonNovartis Pharmaceuticals Corporation, Cambridge, MA, USA.
Yiqun YangNovartis Pharmaceuticals Corporation, Cambridge, MA, USA.
Christelle DarsteinNovartis Pharma AG, Basel, Switzerland.
Kohinoor DasguptaNovartis Healthcare Private Ltd, Hyderabad, India.
Shruti KapoorAdvanced Quantitative Sciences, Novartis Pharmaceuticals Corporation, One Health Plaza, East Hanover, NJ, 07936-1080, USA.
Shengyuan WuNovartis Institutes for BioMedical Research Co. Ltd, Shanghai, China.
Yasunori KawakitaNovartis Pharma K.K., Tokyo, Japan.
Matthias HochNovartis Pharma AG, Basel, Switzerland.
Kai GroschNovartis Pharma AG, Basel, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesThe efficacy of asciminib was proven in newly diagnosed (first-line, 1L) patients with Philadelphia-positive chronic myeloid leukemia in chronic phase (Ph+ CML-CP) and in patients treated with at least two prior tyrosine kinase inhibitors (third-line, 3L+). Given that no randomized controlled trial has been conducted for second-line (2L) patients with CML, this analysis aims to infer the efficacy of asciminib in the 2L setting using the 80 mg once-daily dosing regimen and to support the use of asciminib in patients with CML-CP irrespective of line of therapy.

methodsData (n = 430) were used from three studies, including first-in-human and ASCEMBL in 3L+ and ASC4FIRST in 1L trials, to evaluate the effect of line of therapy on efficacy on the basis of the time-course of BCR::ABL1 mRNA transcripts. Previously adapted to characterize the effect of nilotinib as a 1L and 2L therapy on a CML surrogate marker, the model has three compartments representing quiescent leukemic stem cells and proliferating drug-susceptible and resistant bone marrow cells, wherein the effect of asciminib was modeled as an enhancement of the elimination of susceptible cells.

resultsAsciminib efficacy in 2L was inferred from 1L by borrowing information from nilotinib data. A credibility assessment showed robust prediction accuracy and precision of the model with external 2L data from the ASC2ESCALATE study (n = 36). Major molecular response (MMR) rates in 2L were predicted to be 61-67% at week 48 and 70-76% at week 96, with the 80 mg total daily dose.

conclusionsA model-informed drug development (MIDD) approach was applied to predict 2L efficacy and supported global regulatory approval of asciminib across treatment lines, despite limited clinical data in 2L.

Indexed as

Antineoplastic AgentsDrug DevelopmentLeukemia, Myelogenous, Chronic, BCR-ABL PositiveLeukemia, Myeloid, Chronic-PhaseModels, BiologicalProtein Kinase InhibitorsFusion Proteins, bcr-ablHumansNiacinamidePyrazolesPyrimidinesTreatment OutcomeAntineoplastic AgentsasciminibFusion Proteins, bcr-ablNiacinamidenilotinibProtein Kinase InhibitorsPyrazolesPyrimidines

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.