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上皮细胞黏附分子/波形蛋白-PLGA/脂质免疫磁珠的构建及肺癌循环肿瘤细胞的分离

The construction of EpCAM/vimentin-PLGA/lipid immunomagnetic microspheres and the isolation of circulating tumor cells from lung cancer.

作者信息

Li Guolei, Wang Yun, Tan Guoliang

机构信息

Department of Cardio-Thoracic Surgery, Hebei Province Hospital of Chinese Medicine Shijiazhuang, Hebei Province, China.

Department of Medical Ultrasonics, The Third Hospital of Hebei Medical University Shijiazhuang, Hebei Province, China.

出版信息

Int J Clin Exp Pathol. 2018 Dec 1;11(12):5561-5570. eCollection 2018.

PMID:31949643
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6963091/
Abstract

This study aims to investigate the isolation effect of the epithelial cell adhesion molecule (EpCAM) and the vimentin antibody PLGA/lipid magnetic microsphere on the isolation and identification of lung cancer circulating tumor cells (CTC) in the isolation and identification system of lung cancer CTC. The synthesis of the magnetic microsphere was achieved by the composite package of FeO magnetite nanoparticles with poly (lactic-co-glycolic acid) carboxylic acid endcap (PLGA-COOH) and octadecyl quaternized carboxymethyl chitosan (OQC), immunomagnetic microspheres (IMS) was prepared by linking an EpCAM antibody and a vimentin antibody. Blood samples of tumor-bearing nude mice (A549 lung cancer cells) were collected. Through a separation technique, the CTCs were captured by the EpCAM immunomagnetic microspheres (EpCAM-MS) and vimentin immunomagnetic microspheres (Vim-MS), and the cells were then counted and compared with the pathological condition of the tumor tissues. The results showed that self-prepared EpCAM-MS and Vim-MS could effectively capture lung cancer CTC and match the pathological findings.

摘要

本研究旨在探讨上皮细胞粘附分子(EpCAM)和波形蛋白抗体PLGA/脂质磁性微球在肺癌循环肿瘤细胞(CTC)分离鉴定系统中对肺癌CTC分离和鉴定的效果。通过将FeO磁铁矿纳米颗粒与聚(乳酸-乙醇酸)羧酸封端(PLGA-COOH)和十八烷基季铵化羧甲基壳聚糖(OQC)进行复合包裹来实现磁性微球的合成,通过连接EpCAM抗体和波形蛋白抗体制备免疫磁性微球(IMS)。采集荷瘤裸鼠(A549肺癌细胞)的血样。通过分离技术,用EpCAM免疫磁性微球(EpCAM-MS)和波形蛋白免疫磁性微球(Vim-MS)捕获CTC,然后对细胞进行计数并与肿瘤组织的病理状况进行比较。结果表明,自制的EpCAM-MS和Vim-MS能够有效捕获肺癌CTC并与病理结果相符。

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