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Real-time and non-invasive optical imaging of tumor-targeting glycol chitosan nanoparticles in various tumor models

Authors
Na, Jin HeeKoo, HeebeomLee, SangminMin, Kyung HyunPark, KyeongsoonYoo, HeonLee, Seung HoonPark, Jae HyungKwon, Ick ChanJeong, Seo YoungKim, Kwangmeyung
Issue Date
Aug-2011
Publisher
ELSEVIER SCI LTD
Keywords
Tumor-targeting; Nanoparticle; Brain cancer; Liver cancer; Metastasis
Citation
BIOMATERIALS, v.32, no.22, pp 5252 - 5261
Pages
10
Journal Title
BIOMATERIALS
Volume
32
Number
22
Start Page
5252
End Page
5261
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/50045
DOI
10.1016/j.biomaterials.2011.03.076
ISSN
0142-9612
1878-5905
Abstract
Recently, various nanoparticle systems have been developed for tumor-targeted delivery of imaging agents or drugs. However, large amount of them still have insufficient tumor accumulation and this limits their further clinical applications. Moreover, the in vivo characteristics of nanoparticles have been largely unknown, because there are few proper technologies to achieve the direct and non-invasive characterization of nanoparticles in live animals. In this paper, we determined the key factors of nanoparticles for in vivo tumor-targeting using our glycol chitosan nanoparticles (CNPs) which have proved their tumor-targeting ability in many previous papers. For this study, CNPs were labeled with near-infrared fluorescence (NIRF) dye, Cy5.5 for in vivo analysis by non-invasive optical imaging techniques. With these Cy5.5-CNPs, the factors such as in vitro/in vivo stability, deformability, and rapid uptake into target tumor cells and their effects on in vivo tumor-targeting were evaluated in various tumor-bearing mice models. In flank tumor models, Cy5.5-CNPs were selectively localized in tumor tissue than other organs, and the real-time intravascular tracking of CNPs proved the enhanced permeation and retention (EPR) effect of nanoparticles in tumor vasculature. Importantly, tumor-targeting CNPs showed an excellent tumor-specificity in brain tumors, liver tumors, and metastasis tumor models, indicating their great potential in both cancer imaging and therapy. (C) 2011 Elsevier Ltd. All rights reserved.
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생명공학대학 (시스템생명공학과)
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