Targeting liver sinusoidal endothelial cells with miR-20a-loaded nanoparticles reduces murine colon cancer metastasis to the liver

Int J Cancer. 2018 Aug 1;143(3):709-719. doi: 10.1002/ijc.31343. Epub 2018 Mar 15.

Abstract

Phenotypic transformation of liver sinusoidal endothelial cells is one of the most important stages of liver metastasis progression. The miRNA effects on liver sinusoidal endothelial cells during liver metastasis have not yet been studied. Herein, whole genome analysis of miRNA expression in these cells during colorectal liver metastasis revealed repressed expression of microRNA-20a. Importantly, downregulation of miR-20a occurs in parallel with upregulation of its known protein targets. To restore normal miR-20a levels in liver sinusoidal endothelial cells, we developed chondroitin sulfate-sorbitan ester nanoparticles conjugated with miR-20a in a delivery system that specifically targets liver sinusoidal endothelial cells. The restoration of normal mir-20a levels in these cells induced downregulation of the expression of its protein targets, and this also resulted in a reduction of in vitro LSEC migration and a reduction of in vivo activation and tumor-infiltrating capacity and ability of the tumor decreased by ∼80% in a murine liver metastasis model.

Keywords: liver metastasis; liver sinusoidal endothelial cells; miRNA; nanomedicine; therapy.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Biomarkers
  • Cell Line, Tumor
  • Cells, Cultured
  • Colonic Neoplasms / genetics*
  • Colonic Neoplasms / metabolism
  • Colonic Neoplasms / pathology*
  • Disease Models, Animal
  • Endothelial Cells / metabolism*
  • Gene Expression Profiling
  • Gene Expression Regulation, Neoplastic
  • Heterografts
  • Liver Neoplasms / genetics*
  • Liver Neoplasms / metabolism
  • Liver Neoplasms / secondary*
  • Liver Neoplasms / therapy
  • Male
  • Mice
  • MicroRNAs / chemistry
  • MicroRNAs / genetics*
  • Nanoparticles* / chemistry
  • Signal Transduction

Substances

  • Biomarkers
  • MicroRNAs