ϟ
 
DOI: 10.1021/acsnano.7b01026
OpenAccess: Closed
This work is not Open Acccess. We may still have a PDF, if this is the case there will be a green box below.

Designing Liposomes To Suppress Extracellular Matrix Expression To Enhance Drug Penetration and Pancreatic Tumor Therapy

Tianjiao Ji,Jiayan Lang,Jing Wang,Rong Cai,Yinlong Zhang,Feifei Qi,Lijing Zhang,Xiao Ling Zhao,Wenjing Wu,Jihui Hao,Zhihai Qin,Ying Zhao,Guangjun Nie

Extracellular matrix
Pancreatic cancer
Gemcitabine
2017
During pancreatic tumor development, pancreatic stellate cells (PSCs) proliferate exuberantly to secrete extracellular matrix (ECM) in the tumor stroma, which presents major barriers for drug delivery and penetration in tumor tissue. Thus, down-regulating ECM levels via regulation of the PSCs may allow enhanced penetration of therapeutic drugs and thereby enhancing their therapeutic efficacy. To regulate the PSCs, a matrix metalloproteinase-2 (MMP-2) responsive peptide-hybrid liposome (MRPL) was constructed via coassembly of a tailor-designed MMP-2 responsive amphiphilic peptide and phospholipids. By utilizing the MMP-2-rich pathological environment, the pirfenidone (PFD) loaded MRPL (MRPL-PFD) can specifically release PFD at the pancreatic tumor site and down-regulate the multiple components of ECM expressed by the PSCs. This resulted in a significant increase in the penetration of gemcitabine into the tumor tissue and enhanced the efficacy of gemcitabine for pancreatic tumor. Our design tailored for antifibrosis of pancreatic cancer may provide a practical approach to build functional liposomes through supramolecular assembly, and regulation of ECM may be a promising adjuvant therapeutic strategy for pancreatic and other ECM-rich tumors.
Loading...
    Cite this:
Generate Citation
Powered by Citationsy*
    Designing Liposomes To Suppress Extracellular Matrix Expression To Enhance Drug Penetration and Pancreatic Tumor Therapy” is a paper by Tianjiao Ji Jiayan Lang Jing Wang Rong Cai Yinlong Zhang Feifei Qi Lijing Zhang Xiao Ling Zhao Wenjing Wu Jihui Hao Zhihai Qin Ying Zhao Guangjun Nie published in 2017. It has an Open Access status of “closed”. You can read and download a PDF Full Text of this paper here.