論文

査読有り
2015年11月

Polymeric Micelle Platform for Multimodal Tomographic Imaging to Detect Scirrhous Gastric Cancer

ACS BIOMATERIALS SCIENCE & ENGINEERING
  • Yutaka Miura
  • Atsushi B. Tsuji
  • Aya Sugyo
  • Hitomi Sudo
  • Ichio Aok
  • Masayuki Inubushi
  • Masakazu Yashiro
  • Kosei Hirakawa
  • Horacio Cabral
  • Nobuhiro Nishiyama
  • Tsuneo Saga
  • Kazunori Kataoka
  • 全て表示

1
11
開始ページ
1067
終了ページ
1076
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1021/acsbiomaterials.5b00142
出版者・発行元
AMER CHEMICAL SOC

Scirrhous gastric cancer (SGC) is a recalcitrant tumor, which is among the most lethal cancers. A critical issue for the improvement of SGC prognosis is the lack of an effective imaging method for accurate detection and diagnosis. Because combined nuclear medicine imaging with magnetic resonance imaging (MRI) has the ability to detect cancer with high sensitivity, and quantitation and spatial resolution, it has potential to overcome the issues with SGC detection. Herein, we designed and synthesized a new block copolymer poly(ethylene glycol)-b-poly(gamma-benzyl L-glutamate) linked with a chelator 1,4,7,10-tetraazacyclododecane-1,4,7,10-tetraacetic acid (DOTA-PEG-b-PBLG) to provide a platform for multimodal tomographic imaging. We then successfully prepared DOTA-functionalized polymeric micelles (DOTA/m) measuring 30 nm in diameter, which is an appropriate size to penetrate deeply into tumors with thick fibrosis, including SGC. In-111-labeled DOTA/m highly accumulated in Colon-26 tumors (mouse colon cancer with hyperpermeability), but also in OCUM-2 M LN tumors (SGC with hypopermeability), clearly depicting both tumors by single photon emission computed tomography (SPECT). Gd-labeled DOTA/m clearly visualized OCUM-2 M LN tumors by MRI with high spatial resolution. Moreover, In-111/Gd-labeled micelles, as well as the mixture of In-111- and Gd-labeled DOTA/m demonstrated the capability of this system for selective multimodal SPECT/MR imaging of SCG. Our findings support In-111/Gd-DOTA-labeled micelles as a clinical translationable modality for multimodal tomographic imaging capable of detecting SGC.

リンク情報
DOI
https://doi.org/10.1021/acsbiomaterials.5b00142
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000369348500003&DestApp=WOS_CPL
ID情報
  • DOI : 10.1021/acsbiomaterials.5b00142
  • ISSN : 2373-9878
  • Web of Science ID : WOS:000369348500003

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