Clinical pharmacokinetics · 2026
Leveraging Model-Informed Drug Development to Predict Asciminib Efficacy in Second-Line Treatment of Chronic Myeloid Leukemia in Chronic Phase.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
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Sy Sherwin K B, Yoon Deok Yong, Yang Yiqun, Darstein Christelle, Dasgupta Kohinoor, Kapoor Shruti, Wu Shengyuan, Kawakita Yasunori, Hoch Matthias, Grosch Kai
Аннотация
BACKGROUND AND OBJECTIVES: The 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.
METHODS: Data (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.
RESULTS: Asciminib 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.
CONCLUSIONS: A 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.
METHODS: Data (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.
RESULTS: Asciminib 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.
CONCLUSIONS: A 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.