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

Micromachines

Szu-Hua Chen¹  Wan-Ting Zhang²  Tze-Ho Chen³  Ming Chen⁴  Li-Yun Chou⁴  Wen-Chun Chang⁴  Pei-Hsuan Lo⁵  Hei-Jen Jou⁵  Pei-Ying Ling⁵  Ko-Hsin Tsai⁵  Hsin-Cheng Ho⁶  Heng-Tung Hsu⁶ 

[1] Circulating Rare Cell Laboratory, Taiwan Adventist Hospital, Taipei 100, Taiwan;Cytoaurora Biotechnologies Inc., Hsinchu 302, Taiwan;Department of Genomic Medicine and Center for Medical Genetics, Changhua Christian Hospital, Changhua 526, Taiwan;Departments of Obstetrics and Gynecology, National Taiwan University Hospital, Taipei 100, Taiwan;Departments of Obstetrics and Gynecology, Taiwan Adventist Hospital, Taipei 105, Taiwan;International College of Semiconductor Technology, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan;

关键词: circulating tumor cells;    epithelial ovarian cancer;    liquid biopsy;    CD13;    SKOV3;   

DOI  :  10.3390/mi12050473

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown