已发表论文

层叠纳米颗粒同时加载吉西他滨 (Gemcitabine) 和铂 (IV前药用于对肺癌进行协同性的联合治疗

 

Authors Zhang R, Ru Y, Gao Y, Li J, Mao S

Received 1 June 2017

Accepted for publication 2 August 2017

Published 5 September 2017 Volume 2017:11 Pages 2631—2642

DOI https://doi.org/10.2147/DDDT.S143047

Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Ashok Kumar Pandurangan

Peer reviewer comments 3

Editor who approved publication: Dr Sukesh Voruganti

Purpose: Cisplatin plus gemcitabine (GEM) is a standard regimen for the first-line treatment of advanced non-small cell lung cancer. The aim of this study was to prepare biocompatible and biodegradable polymeric prodrugs and construct nanoparticles (NPs) with layer-by-layer (LbL) technique.
Methods: Platinum (Pt) (IV) complex with a carboxyl group was conjugated to the amino group of chitosan (CH), resulting in a CH-Pt conjugation with positive charge. GEM with amino group was conjugated to the carboxyl group of hyaluronic acid (HA), resulting in a HA-GEM conjugation with negative charge. Novel LbL NPs consisting of the CH-Pt core and the HA-GEM layer, named as HA-GEM/CH-Pt NPs, were constructed. The physicochemical properties of the HA-GEM/CH-Pt NPs were investigated. In vitro cytotoxicity against human non-small lung cancer cells (NCl-H460 cells) was investigated, and in vivo antitumor efficiency was evaluated on mice bearing NCl-H460 cells xenografts.
Results: HA-GEM/CH-Pt NPs have a size of about 187 nm, a zeta potential value of -21 mV and high drug encapsulation efficiency of 90%. The drug release of HA-GEM/CH-Pt NPs exhibited a sustained behavior. HA-GEM/CH-Pt NPs could significantly enhance in vitro cytotoxicity and in vivo antitumor effect against lung cancer animal model compared to the single-drug-loaded NPs and free drug solutions.
Conclusion: The results demonstrated that the HA-GEM/CH-Pt NPs might be a promising system for the synergetic treatment of lung carcinoma.
Keywords: lung cancer, combination chemotherapy, cisplatin, gemcitabine, layer-by-layer technology