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Article

An Automatic Platform Based on Nanostructured Microfluidic Chip for Isolating and Identification of Circulating Tumor Cells

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Departments of Obstetrics and Gynecology, Taiwan Adventist Hospital, Taipei 105, Taiwan
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Departments of Obstetrics and Gynecology, National Taiwan University Hospital, Taipei 100, Taiwan
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International College of Semiconductor Technology, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan
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School of Nursing, National Taipei University of Nursing and Health Science, Taipei 112, Taiwan
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Cytoaurora Biotechnologies Inc., Hsinchu 302, Taiwan
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Circulating Rare Cell Laboratory, Taiwan Adventist Hospital, Taipei 100, Taiwan
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Department of Genomic Medicine and Center for Medical Genetics, Changhua Christian Hospital, Changhua 526, Taiwan
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Department of Genomic Science and Technology, Changhua Christian Hospital Healthcare System, Changhua 526, Taiwan
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Department of Obstetrics and Gynecology, Changhua Christian Hospital, Changhua 526, Taiwan
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Authors to whom correspondence should be addressed.
Academic Editors: Danny van Noort and Dmitry Volodkin
Micromachines 2021, 12(5), 473; https://doi.org/10.3390/mi12050473
Received: 16 March 2021 / Revised: 6 April 2021 / Accepted: 18 April 2021 / Published: 21 April 2021
(This article belongs to the Special Issue Microfluidics for Cells and Other Organisms, Volume III)
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. View Full-Text
Keywords: circulating tumor cells; epithelial ovarian cancer; liquid biopsy; CD13; SKOV3 circulating tumor cells; epithelial ovarian cancer; liquid biopsy; CD13; SKOV3
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MDPI and ACS Style

Jou, H.-J.; Chou, L.-Y.; Chang, W.-C.; Ho, H.-C.; Zhang, W.-T.; Ling, P.-Y.; Tsai, K.-H.; Chen, S.-H.; Chen, T.-H.; Lo, P.-H.; Chen, M.; Hsu, H.-T. An Automatic Platform Based on Nanostructured Microfluidic Chip for Isolating and Identification of Circulating Tumor Cells. Micromachines 2021, 12, 473. https://doi.org/10.3390/mi12050473

AMA Style

Jou H-J, Chou L-Y, Chang W-C, Ho H-C, Zhang W-T, Ling P-Y, Tsai K-H, Chen S-H, Chen T-H, Lo P-H, Chen M, Hsu H-T. An Automatic Platform Based on Nanostructured Microfluidic Chip for Isolating and Identification of Circulating Tumor Cells. Micromachines. 2021; 12(5):473. https://doi.org/10.3390/mi12050473

Chicago/Turabian Style

Jou, Hei-Jen, 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, and Heng-Tung Hsu. 2021. "An Automatic Platform Based on Nanostructured Microfluidic Chip for Isolating and Identification of Circulating Tumor Cells" Micromachines 12, no. 5: 473. https://doi.org/10.3390/mi12050473

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