Literature DB >> 31678287

Low density lipoprotein receptor (LDLR)-targeted lipid nanoparticles for the delivery of sorafenib and Dihydroartemisinin in liver cancers.

Zhengfeng Wang1, Xinxin Duan2, Yinghao Lv2, Yongfu Zhao2.   

Abstract

AIMS: Liver cancer is one of the leading causes of cancer mortality worldwide. Inspired by the biological structure and function of low-density lipoprotein (LDL), in this study, an ApopB-100 based targeted lipid nanoparticles was synthesized to improve the therapeutic efficacy in liver cancer treatment. MAIN
METHODS: The biological composition of ApopB is similar to LDL which can effectively increase the targeting efficiency of nanoparticles in LDL receptor (LDLR)-overexpressed liver tumors. KEY
FINDINGS: We have demonstrated that the co-administration of sorafenib (SRF) and Dihydroartemisinin (DHA) could exhibit synergistic anticancer effect in HepG2 liver cancer cells. DHA produced excessive cellular reactive oxygen species (ROS) and induced greater apoptosis of cancer cells. LDL-based SRF/DHA-loaded lipid nanoparticles (LD-SDN) showed remarkable decrease in the cell viability compared to that of either of single drug treated cancer cells. Combination of SRF+DHA resulted in predominant SubG1 proportion of cells. LD-SDN exhibited the highest SubG1 (%) of cells compared to that of any of the individual drugs. Most importantly, robust antitumor response and delayed tumor growth was observed for LD-SDN treated xenograft tumor model. Ki67 proliferation index of LD-SDN (22.1 ± 5.6%) is significantly lesser compared to that of either control (86.2 ± 6.9%) or SRF (75.4 ± 4.89%) or DHA (69.4 ± 6.9%). SIGNIFICANCES: These data provide strong evidence that LDL-mimetic lipid nanoformulations could be utilized as a biocompatible and tumor targeted platform for the delivery of multiple anticancer drugs in cancer treatment.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Dihydroartemisinin; Lipid nanoparticles; Liver cancer; Low density lipoprotein (LDL); Orafenib

Mesh:

Substances:

Year:  2019        PMID: 31678287     DOI: 10.1016/j.lfs.2019.117013

Source DB:  PubMed          Journal:  Life Sci        ISSN: 0024-3205            Impact factor:   5.037


  14 in total

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