Department of Chemistry, The University of Memphis, Memphis, Tennessee 38152, United States.
Department of Computer Science, Texas Tech University, Lubbock, Texas 79409, United States.
ACS Appl Mater Interfaces. 2020 Oct 21;12(42):47220-47232. doi: 10.1021/acsami.0c12395. Epub 2020 Oct 9.
Circulating tumor cells (CTCs) have substantial clinical implications in cancer diagnosis and monitoring. Although significant progress has been made in developing technologies for CTC detection and counting, the ability to quantitatively detect multiple surface protein markers on individual tumor cells remains very limited. In this work, we report a multiplexed method that uses magnetic multicolor surface-enhanced Raman scattering (SERS) nanotags in conjunction with a chip-based immunomagnetic separation to quantitatively and simultaneously detect four surface protein markers on individual tumor cells in whole blood. Four-color SERS nanotags were prepared using magnetic-optical iron oxide-gold core-shell nanoparticles with different Raman reporters to recognize four different cancer markers with respective antibodies. A microfluidic device was fabricated to magnetically capture the nanoparticle-bound tumor cells and to perform online negative staining and single-cell optical detection. The level of each targeted protein was obtained by signal deconvolution of the mixed SERS signals from individual tumor cells using the classic least squares regression method. The method was tested with spiked tumor cells in human whole blood with three different breast cancer cell lines and compared with the results of purified cancer cells suspended in a phosphate buffer solution. The method, with either spiked cancer cells in blood or purified cancer cells, showed a strong correlation with purified cancer cells by enzyme-linked immunosorbent assay, suggesting the potential of our method for the reliable detection of multiple surface markers on CTCs. Combining immunomagnetic enrichment with high specificity, multiplexed targeting for the capture of CTC subpopulations, multicolor SERS detection with high sensitivity and specificity, microfluidics for handling rare cells and magnetic-plasmonic nanoparticles for dual enrichment and detection, our method provides an integrated, yet a simple and an efficient platform that has the potential to more sensitively detect and monitor cancer metastasis.
循环肿瘤细胞(CTCs)在癌症诊断和监测方面具有重要的临床意义。尽管在开发用于 CTC 检测和计数的技术方面已经取得了重大进展,但对单个肿瘤细胞上的多个表面蛋白标志物进行定量检测的能力仍然非常有限。在这项工作中,我们报告了一种使用磁多色表面增强拉曼散射(SERS)纳米标签与基于芯片的免疫磁分离相结合的多重方法,用于定量和同时检测全血中单个肿瘤细胞上的四个表面蛋白标志物。使用具有不同拉曼报告器的磁性-光学氧化铁-金核壳纳米粒子制备了四色 SERS 纳米标签,以分别用各自的抗体识别四个不同的癌症标志物。制造了一个微流控装置,用于通过磁性捕获纳米粒子结合的肿瘤细胞,并进行在线负染色和单细胞光学检测。通过使用经典最小二乘回归方法对单个肿瘤细胞的混合 SERS 信号进行信号解卷积,获得每个靶蛋白的水平。使用三种不同的乳腺癌细胞系在人全血中加入掺入的肿瘤细胞来测试该方法,并将结果与悬浮在磷酸盐缓冲溶液中的纯化癌细胞进行比较。该方法在血液中掺入的肿瘤细胞或纯化的肿瘤细胞中,与酶联免疫吸附试验的纯化肿瘤细胞具有很强的相关性,表明该方法具有可靠检测 CTC 上多个表面标志物的潜力。该方法将免疫磁富集与高特异性、多色 SERS 检测的多重靶向结合,用于捕获 CTC 亚群,具有高灵敏度和特异性,用于处理稀有细胞的微流控技术,以及用于双重富集和检测的磁等离子体纳米粒子,提供了一个集成的、简单而高效的平台,具有更灵敏地检测和监测癌症转移的潜力。