PO.ET07.01 · 实验与分子治疗

用于指导TAK-280(一种双特异性抗体)剂量和给药方案选择的QSP建模

QSP modeling to inform dose and regimen selection for TAK-280: A bi-specific antibody

海报缩略图:用于指导TAK-280(一种双特异性抗体)剂量和给药方案选择的QSP建模
编号 1825 展板 13 时间 4/20 09:00–12:00 区域 Section 17 主讲 AGNISH DEY
分会场 Quantitative Pharmacology and Translational Modeling
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作者与单位 Authors & Affiliations

Agnish Dey1, Tao Long1, Sabrina Collins1, Dean Bottino2, Jaydeep Srimani1, John Gibbs1

1Takeda Pharmaceuticals, Cambridge, MA,2DMPK&M, Oncology Therapeutic Area, Takeda Development Center Americas, Cambridge, MA

摘要 Abstract

中文摘要
背景:靶向CD3的T细胞衔接器(TCE)已被批准用于治疗多种血液学和实体瘤肿瘤适应症;然而,它们往往会诱发不良的安全性问题,包括细胞因子释放综合征(CRS)和肝酶升高。TAK-280是一款在研的B7-H3 x CD3ε条件性双特异性重定向激活(COBRA)TCE。在其掩蔽前药形式下,TAK-280结合B7-H3,但不结合CD3ε。一旦进入蛋白酶丰富的肿瘤微环境,蛋白酶介导接头的裂解,从而解除前药的掩蔽,使得能够形成活性CD3ε结合二聚体,并最终产生CD3 T细胞激活以及针对共同接合的B7-H3表达细胞的细胞毒性抗肿瘤反应。我们基于一项1期剂量递增研究(NCT05220098)的临床数据开发了一个机制性PK/PD建模框架来描述TAK-280的PK和安全性,该研究考察TAK-280用于治疗晚期、不可切除或转移性癌症患者,重点关注B7-H3表达增强的肿瘤类型。 方法:在模型的肿瘤室中,TAK-280结合肿瘤细胞上表达的B7-H3。一旦形成二聚体,它便结合CD3,形成由TAK-280、B7-H3和CD3组成的目标三聚体复合物。假设该三聚体复合物是肿瘤室中唯一触发细胞因子释放的物种。一旦细胞因子在肿瘤中分泌,即假设它们移动至全身循环。在中央室中,细胞因子经历基础生成和降解。 结果:一个具有线性消除的二室模型足以描述PK。细胞因子动力学采用一个三群体免疫细胞池[1](非分泌、分泌和不应性)框架来描述。免疫细胞动力学揭示,细胞因子Cmax随时间的衰减是免疫细胞通过转变为不应性状态而脱敏的结果。这种在TCE给药后脱敏或细胞因子释放减少的概念在临床上已充分确立,在机制上归因于当给予最高剂量时(在导入给药方案中)可用的非分泌免疫细胞较少。 结论:使用该模型,我们得以表明导入给药导致较低的细胞因子峰浓度,因此预测发生不良事件的概率较低。模型模拟显示该双特异性抗体的QW和BIW给药具有可比的安全性结局。 参考文献:1.Weddell等人。CPT Pharmacometrics Syst Pharmacol. 2023; 12:1726-1737
查看英文原文 English abstract
Background : CD3-targeting T cell engagers (TCE) have been approved as therapy for various hematological and solid tumor oncology indications; however, they can often induce unwanted safety issues, including cytokine release syndrome (CRS) and liver enzyme elevations. TAK-280 is an investigational B7-H3 x CD3ε conditional bispecific redirected activation (COBRA) TCE. In its masked prodrug form, TAK-280 binds to B7-H3, but not to CD3ε. Once in the protease-rich tumor microenvironment, proteases mediate cleavage of the linker resulting in unmasking the prodrug, which allows for the formation of active CD3ε-binding dimers and ultimately CD3 T-cell activation and cytotoxic anti-tumor response against co-engaged B7-H3 expressing cells. We developed a mechanistic PK/PD modeling framework to describe the PK and safety of TAK-280, based on clinical data from a Phase 1 dose escalation study (NCT05220098) investigating TAK-280 for the treatment of patients with advanced, unresectable or metastatic cancer, with a focus on tumor types with enhanced B7-H3 expression. Methods : In the tumor compartment of the model, TAK-280 binds to B7-H3 expressed on tumor cells. Once the dimer is formed, it binds to CD3 to form the desired trimer complex composed of TAK-280, B7-H3 and CD3. It is assumed that this trimer complex is the only species that triggers cytokine release in the tumor compartment. Once cytokines are secreted in the tumor, they are assumed to move to systemic circulation. In the central compartment, cytokines undergo basal production and degradation. Results : A two-compartment model with linear elimination was sufficient to describe the PK. Cytokine dynamics were described using a three-population immune cell pool [1] (non-secreting, secreting and refractory) framework. Immune cell dynamics reveal that the cytokine Cmax attenuation over time is a consequence of immune cell de-sensitization by transitioning to the refractory state. This concept of de-sensitization or decreased cytokine release following TCE dosing is clinically well established and mechanistically it is attributed to fewer non-secreting immune cells that are available by the time the top dose is administered (in a lead-in dosing regimen). Conclusion : Using the model, we were able to show that lead-in dosing led to lower cytokine peak concentrations and therefore predicted lower probability for an adverse event. Model simulations demonstrated comparable safety outcomes for both QW and BIW dosing of the bispecific antibody. References : 1.Weddell et. al. CPT Pharmacometrics Syst Pharmacol. 2023; 12:1726-1737
利益披露 Disclosure
A. Dey, Takeda Pharmaceuticals Employment, Stock. T. Long, Takeda Pharmaceuticals Employment, Stock. S. Collins, Takeda Pharmaceuticals Employment, Stock. D. Bottino, Takeda Employment, Stock. J. Srimani, Takeda Pharmaceuticals Employment, Stock. J. Gibbs, takeda pharmaceuticals Employment, Stock.

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