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Background: Deregulated Notch signaling is implicated in T-cell acute lymphoblastic leukemia (T-ALL)/T-cell lymphoblastic lymphoma (T-LBL). Crenigacestat (LY3039478) prevents cleavage of Notch proteins and may benefit patients with relapsed/refractory T-ALL/T-LBL., Methods: JJCB was a multicenter, nonrandomized, open-label, dose-escalation, phase 1 study in adult patients with relapsed/refractory T-ALL/T-LBL. Eligible patients received Crenigacestat orally 3 times per week plus dexamethasone at 24 mg twice daily on days 1 to 5 every other week in a 28-day cycle. The starting level of Crenigacestat was 50 mg, and dose escalation was performed with a modified 3+3 scheme for the estimation of dose-limiting toxicity (DLT) at the recommended dose level., Results: In total, 36 patients with T-ALL (n = 31 [86.1%]) or T-LBL (n = 5 [13.9%]) were treated with Crenigacestat and dexamethasone. Six patients (16.7%) experienced DLTs: 2 of 12 (16.7%) in the 75-mg cohort (grade 4 gastrointestinal hemorrhage and grade 3 nausea, vomiting, and diarrhea), 1 of 15 (6.7%) in the 100-mg cohort (grade 3 diarrhea), and 3 of 3 (100%) in the 125-mg cohort (grade 3 diarrhea, nausea, and vomiting). The maximum tolerated dosewas 75 mg plus 24 mg of dexamethasone daily on days 1 to 5. Twenty-eight patients (77.8%) experienced 1 or more treatment-emergent adverse events related to the study treatment. The best overall response was a confirmed response, with 1 patient (2.8%) having a duration of response of 10.51 months. Six patients (16.7%) achieved stable disease, and 12 patients (33.3%) experienced progressive disease. The remaining 17 patients (47.2%) were not evaluable. The median event-free survival was 1.18 months (95% confidence interval, 0.76-2.14 months) among all groups. A pharmacodynamic analysis showed decreased plasma amyloid β levels., Conclusions: Crenigacestat demonstrated limited clinical activity at the recommended dose in adult patients with relapsed/refractory T-ALL/T-LBL., (© 2020 American Cancer Society.)

Development of new pharmacological treatments for osteoarthritis that address unmet medical needs in a competitive market place is challenging. Bayesian approaches to trial design offer advantages in defining treatment benefits by addressing clinically relevant magnitude of effects relative to comparators and in optimizing efficiency in analysis. Such advantages are illustrated by a motivating case study, a proof of concept, and dose finding study in patients with osteoarthritis. Patients with osteoarthritis were randomized to receive placebo, celecoxib, or 1 of 4 doses of galcanezumab. Primary outcome measure was change from baseline WOMAC pain after 8 weeks of treatment. Literature review of clinical trials with targeted comparator therapies quantified treatment effects versus placebo. Two success criteria were defined: one to address superiority to placebo with adequate precision and another to ensure a clinically relevant treatment effect. Trial simulations used a Bayesian dose response and longitudinal model. An interim analysis for futility was incorporated. Simulations indicated the study had ≥85% power to detect a 14-mm improvement and ≤1% risk for a placebo-like drug to pass. The addition of the second success criterion substantially reduced the risk of an inadequate, weakly efficacious drug proceeding to future development. The study was terminated at the interim analysis due to inadequate analgesic efficacy. A Bayesian approach using probabilistic statements enables clear understanding of success criteria, leading to informed decisions for study conduct. Incorporating an interim analysis can effectively reduce sample size, save resources, and minimize exposure of patients to an inadequate treatment., (© 2018 John Wiley & Sons, Ltd.)