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Progress in Circulating Tumor Cell Research Using Microfluidic Devices

Micromachines(2018)SCI 3区SCI 4区

Yonsei Univ | Korea Inst Machinery & Mat Engn

Cited 36|Views2
Abstract
Circulating tumor cells (CTCs) are a popular topic in cancer research because they can be obtained by liquid biopsy, a minimally invasive procedure with more sample accessibility than tissue biopsy, to monitor a patient’s condition. Over the past decades, CTC research has covered a wide variety of topics such as enumeration, profiling, and correlation between CTC number and patient overall survival. It is important to isolate and enrich CTCs before performing CTC analysis because CTCs in the blood stream are very rare (0–10 CTCs/mL of blood). Among the various approaches to separating CTCs, here, we review the research trends in the isolation and analysis of CTCs using microfluidics. Microfluidics provides many attractive advantages for CTC studies such as continuous sample processing to reduce target cell loss and easy integration of various functions into a chip, making “do-everything-on-a-chip” possible. However, tumor cells obtained from different sites within a tumor exhibit heterogenetic features. Thus, heterogeneous CTC profiling should be conducted at a single-cell level after isolation to guide the optimal therapeutic path. We describe the studies on single-CTC analysis based on microfluidic devices. Additionally, as a critical concern in CTC studies, we explain the use of CTCs in cancer research, despite their rarity and heterogeneity, compared with other currently emerging circulating biomarkers, including exosomes and cell-free DNA (cfDNA). Finally, the commercialization of products for CTC separation and analysis is discussed.
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circulating tumor cell (CTC),cancer,microfluidic device,CTC isolation,CTC analysis
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要点】:本文综述了利用微流体设备在循环肿瘤细胞(CTCs)研究中的进展,重点关注了CTCs的分离、富集及其在单细胞水平上的异质性分析,并讨论了CTCs在癌症研究中的应用及其商业化产品的发展。

方法】:文章采用文献综述的方法,总结了微流体技术在CTCs分离和分析领域的最新研究趋势。

实验】:本文没有具体描述实验过程,但提及了微流体设备在CTCs研究中的应用,包括单细胞分析研究,并讨论了CTCs与其他生物标志物(如外泌体和细胞游离DNA)的比较研究,但未提及具体的数据集名称。