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使用超高通量微流控涡旋技术分离的大循环肿瘤细胞的分类

Classification of large circulating tumor cells isolated with ultra-high throughput microfluidic Vortex technology.

作者信息

Che James, Yu Victor, Dhar Manjima, Renier Corinne, Matsumoto Melissa, Heirich Kyra, Garon Edward B, Goldman Jonathan, Rao Jianyu, Sledge George W, Pegram Mark D, Sheth Shruti, Jeffrey Stefanie S, Kulkarni Rajan P, Sollier Elodie, Di Carlo Dino

机构信息

Department of Bioengineering, University of California, Los Angeles, California, USA.

Vortex Biosciences, Menlo Park, California, USA.

出版信息

Oncotarget. 2016 Mar 15;7(11):12748-60. doi: 10.18632/oncotarget.7220.

DOI:10.18632/oncotarget.7220
PMID:26863573
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4914319/
Abstract

Circulating tumor cells (CTCs) are emerging as rare but clinically significant non-invasive cellular biomarkers for cancer patient prognosis, treatment selection, and treatment monitoring. Current CTC isolation approaches, such as immunoaffinity, filtration, or size-based techniques, are often limited by throughput, purity, large output volumes, or inability to obtain viable cells for downstream analysis. For all technologies, traditional immunofluorescent staining alone has been employed to distinguish and confirm the presence of isolated CTCs among contaminating blood cells, although cells isolated by size may express vastly different phenotypes. Consequently, CTC definitions have been non-trivial, researcher-dependent, and evolving. Here we describe a complete set of objective criteria, leveraging well-established cytomorphological features of malignancy, by which we identify large CTCs. We apply the criteria to CTCs enriched from stage IV lung and breast cancer patient blood samples using the High Throughput Vortex Chip (Vortex HT), an improved microfluidic technology for the label-free, size-based enrichment and concentration of rare cells. We achieve improved capture efficiency (up to 83%), high speed of processing (8 mL/min of 10x diluted blood, or 800 μL/min of whole blood), and high purity (avg. background of 28.8±23.6 white blood cells per mL of whole blood). We show markedly improved performance of CTC capture (84% positive test rate) in comparison to previous Vortex designs and the current FDA-approved gold standard CellSearch assay. The results demonstrate the ability to quickly collect viable and pure populations of abnormal large circulating cells unbiased by molecular characteristics, which helps uncover further heterogeneity in these cells.

摘要

循环肿瘤细胞(CTC)正逐渐成为一种罕见但具有临床意义的非侵入性细胞生物标志物,用于癌症患者的预后评估、治疗选择和治疗监测。目前的CTC分离方法,如免疫亲和法、过滤法或基于大小的技术,往往受到通量、纯度、大量输出体积的限制,或者无法获得用于下游分析的活细胞。对于所有技术,传统上仅采用免疫荧光染色来区分和确认在污染血细胞中分离出的CTC的存在,尽管通过大小分离的细胞可能表现出截然不同的表型。因此,CTC的定义一直很复杂,依赖于研究人员,并且在不断演变。在这里,我们描述了一套完整的客观标准,利用已确立的恶性肿瘤细胞形态学特征来识别大型CTC。我们将这些标准应用于使用高通量涡旋芯片(Vortex HT)从IV期肺癌和乳腺癌患者血液样本中富集的CTC,Vortex HT是一种改进的微流控技术,用于基于大小的无标记富集和浓缩稀有细胞。我们实现了更高的捕获效率(高达83%)、高速处理(10倍稀释血液为8 mL/min,或全血为800 μL/min)和高纯度(每毫升全血平均背景白细胞为28.8±23.6个)。与以前的涡旋设计和当前FDA批准 的金标准CellSearch检测相比,我们展示了CTC捕获性能的显著提高(阳性检测率为84%)。结果表明,能够快速收集不受分子特征影响的存活且纯净的异常大型循环细胞群体,这有助于揭示这些细胞中进一步的异质性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/382d/4914319/b3732a2c4cf8/oncotarget-07-12748-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/382d/4914319/043d89649da3/oncotarget-07-12748-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/382d/4914319/b1725f2efe0f/oncotarget-07-12748-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/382d/4914319/8a136b0358b0/oncotarget-07-12748-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/382d/4914319/ede352f536d7/oncotarget-07-12748-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/382d/4914319/b3732a2c4cf8/oncotarget-07-12748-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/382d/4914319/043d89649da3/oncotarget-07-12748-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/382d/4914319/b1725f2efe0f/oncotarget-07-12748-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/382d/4914319/8a136b0358b0/oncotarget-07-12748-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/382d/4914319/ede352f536d7/oncotarget-07-12748-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/382d/4914319/b3732a2c4cf8/oncotarget-07-12748-g005.jpg

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