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Updated: Nov 15, 2025

Clinical Microfluidic Chip Platform for the Isolation of Versatile Circulating Tumor Cells
Published on: October 13, 2023
Single-cell genetic analysis of lung tumor cells based on self-driving micro-cavity array chip
Zhisen Jia1, Haojun Yuan2, Xuefei Zhao2
1The 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.
Abstract:
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 101-104 copies/μL (R2 = 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.
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