4.8 Article

Simultaneous isolation and detection of circulating tumor cells with a microfluidic silicon-nanowire-array integrated with magnetic upconversion nanoprobes

期刊

BIOMATERIALS
卷 54, 期 -, 页码 55-62

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.biomaterials.2015.03.004

关键词

Circulating tumor cells; Magnetic upconversion nanoparticles; Microchip; Silicon-nanowire-array

资金

  1. National Basic Research Program (973 Program) of China [2012CB932600, 2013CB932702, 2011CB911000]
  2. National Natural Science Foundation of China [51222203, 21275106, 51302180]
  3. China Postdoctoral Science Foundation [2013M530267, 2013M531400]
  4. Jiangsu Innovation Program for Graduate Education [CXZZ13_0806]
  5. Priority Academic Program Development (PAPD) of Jiangsu Higher Education Institutions
  6. Jiangsu Key Laboratory for Carbon-Based Functional Materials Devices

向作者/读者索取更多资源

The development of sensitive and convenient methods for detection, enrichment, and analysis of circulating tumor cells (CTCs), which serve as an importance diagnostic indicator for metastatic progression of cancer, has received tremendous attention in recent years. In this work, a new approach characteristic of simultaneous CTC capture and detection is developed by integrating a microfluidic silicon nanowire (SiNW) array with multifunctional magnetic upconversion nanoparticles (MUNPs). The MUNPs were conjugated with anti-EpCAM antibody, thus capable to specifically recognize tumor cells in the blood samples and pull them down under an external magnetic field. The capture efficiency of CTCs was further improved by the integration with a microfluidic SiNW array. Due to the autofluorescence free nature in upconversion luminescence (UCL) imaging, our approach allows for highly sensitive detection of small numbers of tumor cells, which afterward could be collected for further analysis and re-culturing. We have further demonstrated that this approach can be applied to detect CTCs in clinical blood samples from lung cancer patients, and obtained consistent results by analyzing the UCL signals and the clinical outcomes of lung cancer metastasis. Therefore our approach represents a promising platform in CTC capture and detection with potential clinical utilization in cancer diagnosis and prognosis. (C) 2015 Elsevier Ltd. All rights reserved.

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