The Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, Zhejiang, 315211, China; State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China.
The Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, Zhejiang, 315211, China.
Talanta. 2021 May 1;226:122172. doi: 10.1016/j.talanta.2021.122172. Epub 2021 Feb 3.
Lung cancer is one of the common malignant tumors with a high incidence and mortality rate. Targeted therapies are efficient on lung cancer patients with specific gene mutations. Circulating tumor cells (CTCs) are used for liquid biopsy, providing genetic information for lung cancer treatment selection and prognosis. We developed a less costly self-driving micro-cavity array for simple molecular analysis at a single cell level to examine the genetic make-up of CTCs. This chip integrated sample detection structure and vacuum driving system to achieve cell loading, lysing, isothermal amplification (LAMP), and signal read-out on one chip. We used the "film-polydimethylsiloxane (PDMS) chip-film" structure and oil sealing method during amplification reaction to minimize water loss. We then conducted a LAMP assay using the self-driving device to detect epidermal growth factor receptor (EGFR) L858R mutation and identified an excellent linear in the range between 10-10 copies/μL (R = 0.997). We finally assessed the EGFR L858R gene expression of lung tumor cells (H1975 cells) as putative CTCs using the proposed detection platform. We discovered its ability to perform genetic analysis at the single-cell level. The EGFR L858R mutational gene expression levels were different in H1975 cells. In conclusion, the self-driving micro-cavity array is a less costly and simple tool for mutational gene profiling of single lung CTC. Besides, it can be used in personalized therapy and efficacy monitoring.
肺癌是一种常见的恶性肿瘤,发病率和死亡率都很高。针对具有特定基因突变的肺癌患者,靶向治疗非常有效。循环肿瘤细胞(CTC)用于液体活检,为肺癌治疗选择和预后提供遗传信息。我们开发了一种成本更低的自动驾驶微腔阵列,用于在单细胞水平上进行简单的分子分析,以检查 CTC 的遗传构成。该芯片集成了样品检测结构和真空驱动系统,可在一个芯片上实现细胞加载、裂解、等温扩增(LAMP)和信号读出。在扩增反应中,我们使用“膜-聚二甲基硅氧烷(PDMS)芯片-膜”结构和油封方法,以最大程度地减少水分流失。然后,我们使用自动驾驶装置进行 LAMP 检测,以检测表皮生长因子受体(EGFR)L858R 突变,并在 10-10 拷贝/μL 范围内(R=0.997)确定了良好的线性关系。最后,我们使用拟议的检测平台评估了作为假定 CTC 的肺癌肿瘤细胞(H1975 细胞)中的 EGFR L858R 基因表达。我们发现它具有在单细胞水平进行遗传分析的能力。H1975 细胞中 EGFR L858R 突变基因的表达水平不同。总之,自动驾驶微腔阵列是一种成本更低、更简单的工具,可用于单个肺 CTC 的突变基因分析。此外,它可用于个性化治疗和疗效监测。