4.5 Article

Novel mouse models of hepatic artery infusion

期刊

JOURNAL OF SURGICAL RESEARCH
卷 219, 期 -, 页码 25-32

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jss.2017.05.083

关键词

Hepatic artery infusion; Liver metastases; First-pass effect; Regional therapy; Murine model

类别

资金

  1. Institutional Research Grant from the American Cancer Society [126771-IRG-14-194-11-IRG]
  2. Cancer Center Support Grant [P30 CA016056]

向作者/读者索取更多资源

Background: The liver has unique anatomy in that most blood flow to normal hepatocytes is derived from the portal venous system, whereas liver tumors obtain their nutrient blood supply exclusively from the hepatic artery. The focused arterial delivery of anticancer agents to liver tumors has been performed for decades; however, preclinical models to standardize drug regimens and examine novel agents have been lacking. The purpose of this study was to establish preclinical hepatic artery infusion (HAI) models in a mouse and to evaluate the safety and delivery capability of the models. Material and methods: C57BL/6 and BALB/c mice were used to develop models of HAI via the hepatic artery (HA), superior pancreaticoduodenal artery (SPDA), or lienogastric artery (LGA). Success rates, distribution of perfusion, and associated morbidity and mortality were analyzed between groups. Results: All three models were feasible and reproducible in mice, and there was no statistical difference on body weight change between models. The HA model had a 13.3% mortality from acute liver failure, and the SPDA model demonstrated duodenal and pancreatic toxicity. SPDA and LGA routes had the highest success rates (96.7% and 91.4%, respectively) with low mortality, better drug delivery, and preserved physiologic liver function compared with the HA model. Conclusions: The optimal route of HAI was mouse breed specific; SPDA access in BALB/c mice, and the LGA access in C57BL/6 mice. The described techniques serve as a reproducible platform for the identification and characterization of therapeutics for diverse metastatic liver tumors. (C) 2017 Elsevier Inc. All rights reserved.

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