Pharmacokinetics of KA2237, a novel selective inhibitor of PI3K-β and PI3K-δ, in patients: A first-in-human study using PK modelling to predict drug concentrations during dose escalation

J. Dow, G. Trevitt, E. Bone, K. Haque, L. Nastoupil
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Abstract

Aims: KA2237, an oral, potent and selective, inhibitor of the PI3K β and δ isoforms, was evaluated for safety, tolerability and pharmacokinetics (PK) in patients with B-cell lymphoma. KA2237 is metabolised by CYP3A4/5 but also demonstrated mechanism-based inhibition (MBI) of CYP3A4/5. An MBI mechanistic dynamic model was used to predict drug accumulation after repeat dosing of KA2237. This model, along with clinical safety data, was used to guide safe dose escalation. Methods: An open-label, single arm, dose escalation study was carried out in patients, dosed orally with KA2237 at 50, 100, 200 and 400 mg once daily. Complete plasma profiles were obtained on Day 1 and Day 14 of dosing and pre-dose (Cmin) samples were obtained on Days 2-7. The MBI model was validated and used to calculate drug levels and predict potential drug accumulation during dose escalation. Results: KA2237 elimination half-life was around 20-30 h, compatible with once daily dosing regimens. The accumulation of KA2237 was around 4-fold after the highest dose of 400 mg and around 3-fold after administration of 200 mg, which is considered the maximum tolerated dose (MTD). The MBI model accurately predicted this accumulation. Conclusions: Drugs that demonstrate MBI and potential auto-inhibition can be successfully developed, provided that models are developed to assess the extent of accumulation prior to the start of FIH clinical studies. This, along with the close monitoring of drug levels and clinical safety data can be used to guide dose escalation and lead to the safe conduct of clinical studies.
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新型PI3K-β和PI3K-δ抑制剂KA2237在患者体内的药代动力学:首次在人体研究中使用PK模型来预测剂量递增过程中的药物浓度
目的:KA2237是一种口服、有效和选择性的PI3K β和δ亚型抑制剂,研究了其在b细胞淋巴瘤患者中的安全性、耐受性和药代动力学(PK)。KA2237由CYP3A4/5代谢,但也显示出基于机制的CYP3A4/5抑制(MBI)。采用AnMBI机制动力学模型预测KA2237重复给药后的药物积累。该模型与临床安全性数据一起用于指导安全剂量递增。方法:在患者中进行了一项开放标签、单臂、剂量递增研究,KA2237剂量为50、100、200和400 mg,每日1次。在给药的第1天和第14天获得完整的血浆谱,在第2-7天获得给药前(Cmin)样本。MBI模型被验证并用于计算药物水平和预测剂量递增过程中潜在的药物积累。结果:KA2237消除半衰期约为20 ~ 30 h,符合每日1次给药方案。在最高剂量400mg后,KA2237的蓄积约为4倍,在给药200mg后约为3倍,这被认为是最大耐受剂量(MTD)。MBI模型准确地预测了这种积累。结论:证明MBI和潜在的自身抑制的药物可以成功开发,前提是在FIH临床研究开始之前开发模型来评估积累程度。这与对药物水平和临床安全数据的密切监测一起,可用于指导剂量增加并导致临床研究的安全进行。
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