Model-based dose selection to inform translational clinical oncology development of WNT974, a first-in-class Porcupine inhibitor.
Ji, Yan, Huang, Pai-Hsi, Woolfenden, Stephen and Myers, Andrea (2022) Model-based dose selection to inform translational clinical oncology development of WNT974, a first-in-class Porcupine inhibitor. Clinical and translational science. ISSN 1752-8062
Abstract
WNT974 is a potent, selective, and orally bioavailable first-in-class inhibitor of Porcupine, a membrane-bound O-acyltransferase required for Wnt secretion, currently under clinical development in oncology. A phase I clinical trial is being conducted in patients with advanced solid tumors. During the dose-escalation part, various dosing regimens, including once or twice daily continuous and intermittent dosing at a dose range of 5-45 mg WNT974 were studied, however, the protocol-defined maximum tolerated dose (MTD) was not established based on dose-limiting toxicity. To assist in the selection of the recommended dose for expansion (RDE), a model-based approach was utilized. It integrated population pharmacokinetic (PK) modeling and exposure-response analyses of a target-inhibition biomarker, skin AXIN2 mRNA expression, and the occurrence of the adverse event, dysgeusia. The target exposure range of WNT974 that would provide a balance between target inhibition and tolerability was estimated based on exposure-response analyses. The dose that was predicted to yield an exposure within the target exposure range was selected as RDE. This model-based approach integrated PK, biomarker, and safety data to determine the RDE and represented an alternative as opposed to the conventional MTD approach for selecting an optimal biological dose. The strategy can be broadly applied to select doses in early oncology trials and inform translational clinical oncology drug development.
Item Type: | Article |
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Date Deposited: | 22 Jun 2022 00:45 |
Last Modified: | 22 Jun 2022 00:45 |
URI: | https://oak.novartis.com/id/eprint/47181 |