Jiang Feiyang, Wei Mingji, Chen Si, Wang Yanfei, Liu Ning, Yang Ning
School of Electrical Information Engineering, Jiangsu University, Zhenjiang 212013, China.
Fluid Machinery Center, Jiangsu University, Zhenjiang 212013, China.
Biosensors (Basel). 2025 Feb 6;15(2):91. doi: 10.3390/bios15020091.
Cancer metastasis is the leading cause of cancer-related deaths, with the ability of cancer cells to invade blood vessels or lymphatic systems, determining their metastatic potential. Therefore, the rapid and accurate assessment of cell invasiveness is crucial. Current methods, such as the Transwell assay and fluorescent labeling, are complex, invasive, and may disrupt the physiological state of live cells. In this study, we introduce an electrochemical impedance-based method for evaluating cancer cell invasiveness, combining Transwell and microfluidic technologies to monitor the invasion process in a dynamic environment. A stable microfluidic chip with 30 μm interdigital electrodes was developed, optimized for HeLa cell detection. We identified 1 kHz as the optimal frequency for achieving the maximum impedance resolution of cancer cell invasiveness. By correlating the impedance response of Z/Z with invasiveness, we established a reliable electrochemical model. This model was validated with a hydrogen peroxide cytotoxicity assay, showing a high correlation with optical staining and a minimal error of 1.89%, underscoring its potential for drug efficacy prediction. The proposed method offers rapid detection, low cost, and requires no manual intervention, making it an efficient and reliable tool for assessing cancer cell invasiveness in therapeutic research.
癌症转移是癌症相关死亡的主要原因,癌细胞侵入血管或淋巴系统的能力决定了它们的转移潜能。因此,快速准确地评估细胞侵袭性至关重要。目前的方法,如Transwell检测和荧光标记,既复杂又具有侵入性,还可能破坏活细胞的生理状态。在本研究中,我们引入了一种基于电化学阻抗的方法来评估癌细胞侵袭性,该方法结合了Transwell和微流控技术,以在动态环境中监测侵袭过程。我们开发了一种带有30μm叉指电极的稳定微流控芯片,并针对HeLa细胞检测进行了优化。我们确定1kHz为实现癌细胞侵袭性最大阻抗分辨率的最佳频率。通过将Z/Z的阻抗响应与侵袭性相关联,我们建立了一个可靠的电化学模型。该模型通过过氧化氢细胞毒性试验得到验证,与光学染色显示出高度相关性,最小误差为1.89%,突出了其在药物疗效预测方面的潜力。所提出的方法具有快速检测、低成本且无需人工干预的特点,使其成为治疗研究中评估癌细胞侵袭性的一种高效可靠工具。