An automatic platform based on nanostructured microfluidic chip for isolating and identification of circulating tumor cells

Hei Jen Jou*, Li Yun Chou, Wen Chun Chang, Hsin Cheng Ho, Wan Ting Zhang, Pei Ying Ling, Ko Hsin Tsai, Szu Hua Chen, Tze Ho Chen, Pei Hsuan Lo, Ming Chen, Heng Tung Hsu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Circulating tumor cell (CTC) test is currently used as a biomarker in cancer treatment. Unfortunately, the poor reproducibility and limited sensitivity with the CTC detection have limited its potential impact on clinical application. A reliable automated CTC detection system is therefore needed. We have designed an automated microfluidic chip‐based CTC detection system and hypothesize this novel system can reliably detect CTC from clinical specimens. SKOV3 ovarian cancer cell line was used first to test the reliability of our system. Ten healthy volunteers, 5 patients with benign ovarian tumors, and 8 patients with epithelial ovarian cancer (EOC) were recruited to validate the CTC capturing efficacy in the peripheral blood. The capture rates for spiking test in SKOV3 cells were 48.3% and 89.6% by using anti‐EpCAM antibody alone and a combination of anti‐EpCAM antibody and anti‐N‐cadherin antibody, respectively. The system was sensitive to detection of low cell count and showed a linear relationship with the cell counts in our test range. The sensitivity and specificity were 62.5% and 100% when CTC was used as a biomarker for EOC. Our results demonstrated that this automatic CTC platform has a high capture rate and is feasible for detection of CTCs in EOC.

Original languageEnglish
Article number473
Pages (from-to)1-14
Number of pages14
JournalMicromachines
Volume12
Issue number5
DOIs
StatePublished - May 2021

Keywords

  • CD13
  • Circulating tumor cells
  • Epithelial ovarian cancer
  • Liquid biopsy
  • SKOV3

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