Department of Pharmaceutical Technology and Chemistry, School of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain.
IdiSNA, Navarra Institute for Health Research, Pamplona, Spain.
Clin Pharmacol Ther. 2023 Sep;114(3):623-632. doi: 10.1002/cpt.2937. Epub 2023 Jun 2.
Oncolytic viruses (OVs) represent a potential therapeutic strategy in cancer treatment. However, there is currently a lack of comprehensive quantitative models characterizing clinical OV kinetics and distribution to the tumor. In this work, we present a mechanistic modeling framework for V937 OV, after intratumoral (i.t.) or intravascular (i.v.) administration in patients with cancer. A minimal physiologically-based pharmacokinetic model was built to characterize biodistribution of OVs in humans. Viral dynamics was incorporated at the i.t. cellular level and linked to tumor response, enabling the characterization of a direct OV killing triggered by the death of infected tumor cells and an indirect killing induced by the immune response. The model provided an adequate description of changes in V937 mRNA levels and tumor size obtained from phase I/II clinical trials after V937 administration. The model showed prominent role of viral clearance from systemic circulation and infectivity in addition to known tumor aggressiveness on clinical response. After i.v. administration, i.t. exposure of V937 was predicted to be several orders of magnitude lower compared with i.t. administration. These differences could be overcome if there is high virus infectivity and/or replication. Unfortunately, the latter process could not be identified at the current clinical setting. This work provides insights on selecting optimal OV considering replication rate and infectivity.
溶瘤病毒(OVs)是癌症治疗中一种有潜力的治疗策略。然而,目前缺乏全面的定量模型来描述临床 OV 的动力学和分布到肿瘤的情况。在这项工作中,我们提出了一种针对 V937 OV 的机制建模框架,用于癌症患者的瘤内(i.t.)或血管内(i.v.)给药。建立了一个最小的基于生理的药代动力学模型来描述 OV 在人体内的分布。将病毒动力学纳入 i.t.细胞水平,并与肿瘤反应相关联,从而能够描述由感染肿瘤细胞死亡引发的直接 OV 杀伤和由免疫反应引起的间接杀伤。该模型对 V937 给药后 I/II 期临床试验中获得的 V937 mRNA 水平和肿瘤大小的变化提供了充分的描述。该模型表明,病毒从全身循环中的清除率和感染力以及已知的肿瘤侵袭性对临床反应具有显著作用。与 i.t. 给药相比,i.v. 给药后预测 V937 的 i.t. 暴露量要低几个数量级。如果病毒具有高感染力和/或复制能力,则可以克服这些差异。不幸的是,在当前的临床环境下,无法识别后一种过程。这项工作为考虑复制率和感染力来选择最佳 OV 提供了一些见解。