Varillas Jose I, Chen Kangfu, Dopico Pablo, Zhang Jinling, George Thomas J, Fan Z Hugh
J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, P.O. Box 116131, Gainesville, FL 32611, USA.
Interdisciplinary Microsystems Group, Department of Mechanical and Aerospace Engineering, University of Florida, P.O. Box 116250, Gainesville, FL 32611, USA.
Can J Chem. 2022 Jul;100(7):512-519. doi: 10.1139/cjc-2021-0229. Epub 2022 Jan 19.
The analysis of circulating tumor cells (CTCs) is important for cancer diagnosis and prognosis. Microfluidics has been employed for CTC analysis due to its scaling advantages and high performance. However, pre-analytical methods for CTC sample preparation are often combined with microfluidic platforms because a large sample volume is required to detect extremely rare CTCs. Among pre-analytical methods, Ficoll-Paque, OncoQuick, and RosetteSep are commonly used to separate cells of interest. To compare their performance, we spiked L3.6pl pancreatic cancer cells into healthy blood samples and then employed each technique to prepare blood samples, followed by using a microfluidic platform to capture and detect L3.6pl cells. We found these three methods have similar performance, though the slight edge of RosetteSep over Ficoll-Paque is statistically significant. We also studied the effects of the tumor cell concentrations on the performance of the frequently used Ficoll-Paque method. Furthermore, we examined the repeatability and variability of each pre-analytical technique and the microfluidics-enabled detection. This study will provide researchers and clinicians with comparative data that can influence the choice of sample preparation method, help estimate CTC loss in each pre-analytical method, and correlate the results of clinical studies that employ different techniques.
循环肿瘤细胞(CTC)分析对于癌症诊断和预后至关重要。微流控技术因其规模优势和高性能已被用于CTC分析。然而,由于需要大量样本体积来检测极其罕见的CTC,因此CTC样本制备的分析前方法通常与微流控平台相结合。在分析前方法中,Ficoll-Paque、OncoQuick和RosetteSep通常用于分离感兴趣的细胞。为了比较它们的性能,我们将L3.6pl胰腺癌细胞加入健康血液样本中,然后采用每种技术制备血液样本,随后使用微流控平台捕获和检测L3.6pl细胞。我们发现这三种方法具有相似的性能,尽管RosetteSep比Ficoll-Paque略具优势在统计学上具有显著意义。我们还研究了肿瘤细胞浓度对常用的Ficoll-Paque方法性能的影响。此外,我们检查了每种分析前技术和微流控检测的重复性和变异性。本研究将为研究人员和临床医生提供比较数据,这些数据可影响样本制备方法的选择,有助于估计每种分析前方法中的CTC损失,并关联采用不同技术的临床研究结果。