Eigenmann Miro Julian, Karlsen Tine Veronica, Wagner Marek, Tenstad Olav, Weinzierl Tina, Fauti Tanja, Grimm Hans Peter, Skogstrand Trude, Klein Christian, Sam Johannes, Umana Pablo, Bacac Marina, Wiig Helge, Walz Antje-Christine
Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., 4070 Basel, Switzerland.
Department of Biomedicine, University of Bergen, N-5020 Bergen, Norway.
Pharmaceutics. 2021 Dec 7;13(12):2105. doi: 10.3390/pharmaceutics13122105.
The goal of this study is to investigate the pharmacokinetics in plasma and tumour interstitial fluid of two T-cell bispecifics (TCBs) with different binding affinities to the tumour target and to assess the subsequent cytokine release in a tumour-bearing humanised mouse model. Pharmacokinetics (PK) as well as cytokine data were collected in humanised mice after iv injection of cibisatamab and CEACAM5-TCB which are binding with different binding affinities to the tumour antigen carcinoembryonic antigen (CEA). The PK data were modelled and coupled to a previously published physiologically based PK model. Corresponding cytokine release profiles were compared to in vitro data. The PK model provided a good fit to the data and precise estimation of key PK parameters. High tumour interstitial concentrations were observed for both TCBs, influenced by their respective target binding affinities. In conclusion, we developed a tailored experimental method to measure PK and cytokine release in plasma and at the site of drug action, namely in the tumour. Integrating those data into a mathematical model enabled to investigate the impact of target affinity on tumour accumulation and can have implications for the PKPD assessment of the therapeutic antibodies.
本研究的目的是研究两种对肿瘤靶点具有不同结合亲和力的T细胞双特异性抗体(TCB)在血浆和肿瘤间质液中的药代动力学,并在荷瘤人源化小鼠模型中评估随后的细胞因子释放情况。在静脉注射与肿瘤抗原癌胚抗原(CEA)具有不同结合亲和力的西比沙单抗和CEACAM5-TCB后,在人源化小鼠中收集药代动力学(PK)以及细胞因子数据。对PK数据进行建模,并与先前发表的基于生理学的PK模型相结合。将相应的细胞因子释放曲线与体外数据进行比较。PK模型与数据拟合良好,能够精确估计关键PK参数。两种TCB均观察到较高的肿瘤间质浓度,这受到它们各自靶点结合亲和力的影响。总之,我们开发了一种定制的实验方法来测量血浆和药物作用部位(即肿瘤部位)的PK和细胞因子释放。将这些数据整合到一个数学模型中,能够研究靶点亲和力对肿瘤蓄积的影响,并可能对治疗性抗体的PKPD评估产生影响。