Issue 6, 2015
From the journal:

Biomaterials Science

Noninvasive theranostic imaging of HSV-TK/GCV suicide gene therapy in liver cancer by folate-targeted quantum dot-based liposomes†

Dan Shao,‡a   Jing Li,‡a   Yue Pan,a   Xin Zhang,a   Xiao Zheng,a   Zheng Wang,a   Ming Zhang,a   Hong Zhang*b  and  Li Chen*ac  

* Corresponding authors

a Department of Pharmacology, Nanomedicine Engineering Laboratory of Jilin Province, College of Basic Medical Sciences, Jilin University, Changchun 130021, China
E-mail: chenl@jlu.edu.cn

b Van't Hoff Institute for Molecular Sciences, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands
E-mail: h.zhang@uva.nl

c School of Nursing, Jilin University, Changchun 130021, China

Abstract

Theranostics is emerging as a popular strategy for cancer therapy; thanks to the development of nanotechnology. In this work, we have combined an HSV-TK/GCV suicide gene system and near-infrared quantum dots, as the former is quite effective in liver cancer treatment and the latter facilitates tumor imaging. A folate-modified theranostic liposome (FL/QD-TK) was developed, which is composed of an HSV-TK suicide gene covalently coupling with near-infrared fluorescent CdSeTe/ZnS core/shell quantum dots. The liver cancer-targeting and biosafety of FL/QD-TK were studied in vitro and in vivo. FL/QD-TK exhibited highly specific tumor imaging and strong inhibition of the folate receptor-overexpressed Bel-7402 mouse xenografts without systematic toxicity. This study may shed light on gene delivery and targeted cancer therapy.

Graphical abstract: Noninvasive theranostic imaging of HSV-TK/GCV suicide gene therapy in liver cancer by folate-targeted quantum dot-based liposomes

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Supplementary files

Article information

DOI
https://doi.org/10.1039/C5BM00077G
Article type
Paper
Submitted
12 Mar 2015
Accepted
30 Mar 2015
First published
10 Apr 2015

Biomater. Sci., 2015,3, 833-841

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Noninvasive theranostic imaging of HSV-TK/GCV suicide gene therapy in liver cancer by folate-targeted quantum dot-based liposomes

D. Shao, J. Li, Y. Pan, X. Zhang, X. Zheng, Z. Wang, M. Zhang, H. Zhang and L. Chen, Biomater. Sci., 2015, 3, 833 DOI: 10.1039/C5BM00077G

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