Combination therapy with doxorubicin-loaded galactosylated poly(ethyleneglycol)-lithocholic acid to suppress the tumor growth in an orthotopic mouse model of liver cancer

Biomaterials(2017)

引用 36|浏览31
暂无评分
摘要
Despite advances in technology, neither conventional anti-cancer drugs nor current nanoparticle (NP) drugs have gained substantial success in cancer treatment. While conventional chemotherapy drugs have several limitations such as low potency, poor in vivo stability and limited bioavailability, non-specific targeting of NP drugs diminishes their potency at actual target sites. In addition, the development of drug resistance to anti-cancer drugs is another challenging problem. To overcome these limitations, we aimed to develop a polymer-drug conjugate, which functions as an active NP drug and drug carrier both, to deliver a chemotherapeutic drug for combination therapy. Accordingly, we made targeting NP carrier of lithocholic acid-poly(ethylene glycol)-lactobionic acid (LPL) loading doxorubicin (Dox) to produce Dox/LPL NPs. The cellular uptake of Dox/LPL NPs was relatively higher in human liver cancer cell line (SK-HEP-1) due to galactose ligand-asialoglycoprotein receptor interaction. Consequently, the cellular uptake of Dox/LPL NPs led to massive cell death of SK-HEP-1 cells by two different mechanisms, particularly apoptotic activity by LPL and mitotic catastrophe by Dox. Most importantly, Dox/LPL NPs, when administered to orthotopic xenograft model of liver cancer, greatly reduced proliferation, invasion, migration, and angiogenesis of liver tumor in vivo. Thus, this study exemplifies the superiority of combination therapy over individual NP drug or conventional small molecule drug for cancer therapy. Overall, we present a promising approach of combinatorial therapy to inhibit the hepatic tumor growth and metastasis in the orthotopic xenograft model mice, thus representing an effective weapon for cancer treatment.
更多
查看译文
关键词
Cancer,Combination therapy,Doxorubicin,Nanoparticles,Orthotopic mouse model,Targeted drug delivery
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要