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

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• 作者：Yutaka Miura ; Atsushi B. Tsuji ; Aya Sugyo ; Hitomi Sudo ; Ichio Aoki ; Masayuki Inubushi ; Masakazu Yashiro ; Kosei Hirakawa ; Horacio Cabral ; Nobuhiro Nishiyama ; Tsuneo Saga ; Kazunori Kataoka
• 刊名：ACS Biomaterials Science & Engineering
• 出版年：2015
• 出版时间：November 9, 2015
• 年：2015
• 卷：1
• 期：11
• 页码：1067-1076
• 全文大小：599K
• ISSN：2373-9878

文摘

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(γ-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. ¹¹¹In-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, ¹¹¹In/Gd-labeled micelles, as well as the mixture of ¹¹¹In- and Gd-labeled DOTA/m demonstrated the capability of this system for selective multimodal SPECT/MR imaging of SCG. Our findings support ¹¹¹In/Gd-DOTA-labeled micelles as a clinical translationable modality for multimodal tomographic imaging capable of detecting SGC.