An Automatic Platform Based on Nanostructured Microfluidic Chip for Isolating and Identification of Circulating Tumor Cells
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...
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Published in | Micromachines (Basel) Vol. 12; no. 5; p. 473 |
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21.04.2021
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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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AbstractList | 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.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. 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. |
Author | Lo, Pei-Hsuan Chen, Szu-Hua Chen, Ming Hsu, Heng-Tung Zhang, Wan-Ting Chen, Tze-Ho Chang, Wen-Chun Jou, Hei-Jen Tsai, Ko-Hsin Ling, Pei-Ying Chou, Li-Yun Ho, Hsin-Cheng |
AuthorAffiliation | 9 Department of Obstetrics and Gynecology, Changhua Christian Hospital, Changhua 526, Taiwan 6 Circulating Rare Cell Laboratory, Taiwan Adventist Hospital, Taipei 100, Taiwan; szu2520@gmail.com 1 Departments of Obstetrics and Gynecology, Taiwan Adventist Hospital, Taipei 105, Taiwan; peiyingling03@gmail.com (P.-Y.L.); 150188@tahsda.org.tw (K.-H.T.); pkmmcl@gmail.com (P.-H.L.) 3 International College of Semiconductor Technology, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan; neoho.icst07g@nctu.edu.tw 4 School of Nursing, National Taipei University of Nursing and Health Science, Taipei 112, Taiwan 8 Department of Genomic Science and Technology, Changhua Christian Hospital Healthcare System, Changhua 526, Taiwan 7 Department of Genomic Medicine and Center for Medical Genetics, Changhua Christian Hospital, Changhua 526, Taiwan; 46305@cch.org.tw 2 Departments of Obstetrics and Gynecology, National Taiwan University Hospital, Taipei 100, Taiwan; 143178@tahsda.org.tw (L.-Y.C.); dto |
AuthorAffiliation_xml | – name: 1 Departments of Obstetrics and Gynecology, Taiwan Adventist Hospital, Taipei 105, Taiwan; peiyingling03@gmail.com (P.-Y.L.); 150188@tahsda.org.tw (K.-H.T.); pkmmcl@gmail.com (P.-H.L.) – name: 9 Department of Obstetrics and Gynecology, Changhua Christian Hospital, Changhua 526, Taiwan – name: 7 Department of Genomic Medicine and Center for Medical Genetics, Changhua Christian Hospital, Changhua 526, Taiwan; 46305@cch.org.tw – name: 3 International College of Semiconductor Technology, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan; neoho.icst07g@nctu.edu.tw – name: 2 Departments of Obstetrics and Gynecology, National Taiwan University Hospital, Taipei 100, Taiwan; 143178@tahsda.org.tw (L.-Y.C.); dtobgya1@yahoo.com.tw (W.-C.C.); mingchenmd@gmail.com (M.C.) – name: 4 School of Nursing, National Taipei University of Nursing and Health Science, Taipei 112, Taiwan – name: 5 Cytoaurora Biotechnologies Inc., Hsinchu 302, Taiwan; tina.zhang@cytoaurora.com – name: 8 Department of Genomic Science and Technology, Changhua Christian Hospital Healthcare System, Changhua 526, Taiwan – name: 6 Circulating Rare Cell Laboratory, Taiwan Adventist Hospital, Taipei 100, Taiwan; szu2520@gmail.com |
Author_xml | – sequence: 1 givenname: Hei-Jen orcidid: 0000-0001-9486-7059 surname: Jou fullname: Jou, Hei-Jen – sequence: 2 givenname: Li-Yun surname: Chou fullname: Chou, Li-Yun – sequence: 3 givenname: Wen-Chun surname: Chang fullname: Chang, Wen-Chun – sequence: 4 givenname: Hsin-Cheng surname: Ho fullname: Ho, Hsin-Cheng – sequence: 5 givenname: Wan-Ting surname: Zhang fullname: Zhang, Wan-Ting – sequence: 6 givenname: Pei-Ying surname: Ling fullname: Ling, Pei-Ying – sequence: 7 givenname: Ko-Hsin surname: Tsai fullname: Tsai, Ko-Hsin – sequence: 8 givenname: Szu-Hua surname: Chen fullname: Chen, Szu-Hua – sequence: 9 givenname: Tze-Ho surname: Chen fullname: Chen, Tze-Ho – sequence: 10 givenname: Pei-Hsuan surname: Lo fullname: Lo, Pei-Hsuan – sequence: 11 givenname: Ming orcidid: 0000-0001-5076-2917 surname: Chen fullname: Chen, Ming – sequence: 12 givenname: Heng-Tung orcidid: 0000-0002-7753-5690 surname: Hsu fullname: Hsu, Heng-Tung |
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SubjectTerms | Antibodies Automation Biomarkers Biopsy Cancer CD13 circulating tumor cells Efficiency epithelial ovarian cancer liquid biopsy Metastasis Microfluidics Ovarian cancer Polyethylene glycol Sensitivity SKOV3 Tumors |
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Title | An Automatic Platform Based on Nanostructured Microfluidic Chip for Isolating and Identification of Circulating Tumor Cells |
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