Xuehui Zhang1, Hui Li1, Xiuyan Yu1, Shanxin Li1, Zhen Lei2, Chang Li1, Qun Zhang1, Qing Han1, Yuan Li3, Kun Zhang3, Yuxiang Wang4, Congrong Liu4, Yiqing Mao1, Xi Wang1, David M Irwin5, Hongyan Guo3, Gang Niu2, Huanran Tan1. 1. Department of Pharmacology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China. 2. Beijing N&N Genetech Company, Beijing, China. 3. Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China. 4. Department of Pathology, School of Basic Medical Science, Peking University Third Hospital, Peking University Health Science Center, Beijing, China. 5. Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.
Abstract
BACKGROUND/AIMS: Monitoring the appearance and progression of tumors are important for improving the survival rate of patients with ovarian cancer. This study aims to examine circulating tumor cells (CTCs) in epithelial ovarian cancer (EOC) patients to evaluate their clinical significance in comparison to the existing biomarker CA125. METHODS: Immuomagnetic bead screening, targeting epithelial antigens on ovarian cancer cells, combined with multiplex reverse transcriptase-polymerase chain reaction (Multiplex RT-PCR) was used to detect CTCs in 211 samples of peripheral blood (5 ml) from 109 EOC patients. CTCs and CA125 were measured in serial from 153 blood and 153 serum samples from 51 patients and correlations with treatment were analyzed. Immunohistochemistry was used to detect the expression of tumor-associated proteins in tumor tissues and compared with gene expression in CTCs from patients. RESULTS: CTCs were detected in 90% (98/109) of newly diagnosed patients. In newly diagnosed patients, the number of CTCs was correlated with stage (p=0.034). Patients with stage IA-IB disease had a CTC positive rate of 93% (13/14), much higher than the CA125 positive rate of only 64% (9/14) for the same patients. The numbers of CTCs changed with treatment, and the expression of EpCAM (p=0.003) and HER2 (p=0.035) in CTCs was correlated with resistance to chemotherapy. Expression of EpCAM in CTCs before treatment was also correlated with overall survival (OS) (p=0.041). CONCLUSION: Detection of CTCs allows early diagnose and expression of EpCAM in CTC positive patients predicts prognosis and should be helpful for monitoring treatment.
BACKGROUND/AIMS: Monitoring the appearance and progression of tumors are important for improving the survival rate of patients with ovarian cancer. This study aims to examine circulating tumor cells (CTCs) in epithelial ovarian cancer (EOC) patients to evaluate their clinical significance in comparison to the existing biomarker CA125. METHODS: Immuomagnetic bead screening, targeting epithelial antigens on ovarian cancer cells, combined with multiplex reverse transcriptase-polymerase chain reaction (Multiplex RT-PCR) was used to detect CTCs in 211 samples of peripheral blood (5 ml) from 109 EOC patients. CTCs and CA125 were measured in serial from 153 blood and 153 serum samples from 51 patients and correlations with treatment were analyzed. Immunohistochemistry was used to detect the expression of tumor-associated proteins in tumor tissues and compared with gene expression in CTCs from patients. RESULTS: CTCs were detected in 90% (98/109) of newly diagnosed patients. In newly diagnosed patients, the number of CTCs was correlated with stage (p=0.034). Patients with stage IA-IB disease had a CTC positive rate of 93% (13/14), much higher than the CA125 positive rate of only 64% (9/14) for the same patients. The numbers of CTCs changed with treatment, and the expression of EpCAM (p=0.003) and HER2 (p=0.035) in CTCs was correlated with resistance to chemotherapy. Expression of EpCAM in CTCs before treatment was also correlated with overall survival (OS) (p=0.041). CONCLUSION: Detection of CTCs allows early diagnose and expression of EpCAM in CTC positive patients predicts prognosis and should be helpful for monitoring treatment.
Authors: Juan F Yee-de León; Brenda Soto-García; Diana Aráiz-Hernández; Jesús Rolando Delgado-Balderas; Miguel Esparza; Carlos Aguilar-Avelar; J D Wong-Campos; Franco Chacón; José Y López-Hernández; A Mauricio González-Treviño; José R Yee-de León; Jorge L Zamora-Mendoza; Mario M Alvarez; Grissel Trujillo-de Santiago; Lauro S Gómez-Guerra; Celia N Sánchez-Domínguez; Liza P Velarde-Calvillo; Alejandro Abarca-Blanco Journal: Sci Rep Date: 2020-05-05 Impact factor: 4.379