Assessment of Clinical Response to V937 Oncolytic Virus After Intravenous or Intratumoral Administration Using Physiologically‐Based Modeling

Author:

Parra‐Guillen Zinnia P.12ORCID,Sancho‐Araiz Aymara12,Mayawala Kapil3ORCID,Zalba Sara12,Garrido Maria J.12,de Alwis Dinesh3,Troconiz Iñaki F.12ORCID,Freshwater Tomoko3

Affiliation:

1. Department of Pharmaceutical Technology and Chemistry, School of Pharmacy and Nutrition University of Navarra Pamplona Spain

2. IdiSNA Navarra Institute for Health Research Pamplona Spain

3. Quantitative Pharmacology and Pharmacometrics Immune/Oncology (QP2‐I/O) Merck & Co., Inc. Rahway New Jersey USA

Abstract

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.

Publisher

Wiley

Subject

Pharmacology (medical),Pharmacology

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