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An Automatic Platform Based on Nanostructured Microfluidic Chip for Isolating and Identification of Circulating Tumor Cells.
Jou, Hei-Jen; Chou, Li-Yun; Chang, Wen-Chun; Ho, Hsin-Cheng; Zhang, Wan-Ting; Ling, Pei-Ying; Tsai, Ko-Hsin; Chen, Szu-Hua; Chen, Tze-Ho; Lo, Pei-Hsuan; Chen, Ming; Hsu, Heng-Tung.
Afiliación
  • Jou HJ; Departments of Obstetrics and Gynecology, Taiwan Adventist Hospital, Taipei 105, Taiwan.
  • Chou LY; Departments of Obstetrics and Gynecology, National Taiwan University Hospital, Taipei 100, Taiwan.
  • Chang WC; International College of Semiconductor Technology, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan.
  • Ho HC; School of Nursing, National Taipei University of Nursing and Health Science, Taipei 112, Taiwan.
  • Zhang WT; Departments of Obstetrics and Gynecology, National Taiwan University Hospital, Taipei 100, Taiwan.
  • Ling PY; Departments of Obstetrics and Gynecology, National Taiwan University Hospital, Taipei 100, Taiwan.
  • Tsai KH; International College of Semiconductor Technology, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan.
  • Chen SH; Cytoaurora Biotechnologies Inc., Hsinchu 302, Taiwan.
  • Chen TH; Cytoaurora Biotechnologies Inc., Hsinchu 302, Taiwan.
  • Lo PH; Departments of Obstetrics and Gynecology, Taiwan Adventist Hospital, Taipei 105, Taiwan.
  • Chen M; Departments of Obstetrics and Gynecology, Taiwan Adventist Hospital, Taipei 105, Taiwan.
  • Hsu HT; Circulating Rare Cell Laboratory, Taiwan Adventist Hospital, Taipei 100, Taiwan.
Micromachines (Basel) ; 12(5)2021 Apr 21.
Article en En | MEDLINE | ID: mdl-33919456
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Micromachines (Basel) Año: 2021 Tipo del documento: Article País de afiliación: Taiwán

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Micromachines (Basel) Año: 2021 Tipo del documento: Article País de afiliación: Taiwán