Literature DB >> 35685992

Establishment of an optimized CTC detection model consisting of EpCAM, MUC1 and WT1 in epithelial ovarian cancer and its correlation with clinical characteristics.

Tongxia Wang1, Yan Gao1, Xi Wang2, Junrui Tian2, Yuan Li1, Bo Yu1, Cuiyu Huang1, Hui Li2, Huamao Liang1, David M Irwin3, Huanran Tan2, Hongyan Guo1.   

Abstract

Objective: Emerging studies have demonstrated the promising clinical value of circulating tumor cells (CTCs) for diagnosis, disease assessment, treatment monitoring and prognosis in epithelial ovarian cancer. However, the clinical application of CTC remains restricted due to diverse detection techniques with variable sensitivity and specificity and a lack of common standards.
Methods: We enrolled 160 patients with epithelial ovarian cancer as the experimental group, and 90 patients including 50 patients with benign ovarian tumor and 40 healthy females as the control group. We enriched CTCs with immunomagnetic beads targeting two epithelial cell surface antigens (EpCAM and MUC1), and used multiple reverse transcription-polymerase chain reaction (RT-PCR) detecting three markers (EpCAM, MUC1 and WT1) for quantification. And then we used a binary logistic regression analysis and focused on EpCAM, MUC1 and WT1 to establish an optimized CTC detection model.
Results: The sensitivity and specificity of the optimized model is 79.4% and 92.2%, respectively. The specificity of the CTC detection model is significantly higher than CA125 (92.2% vs. 82.2%, P=0.044), and the detection rate of CTCs was higher than the positive rate of CA125 (74.5% vs. 58.2%, P=0.069) in early-stage patients (stage I and II). The detection rate of CTCs was significantly higher in patients with ascitic volume ≥500 mL, suboptimal cytoreductive surgery and elevated serum CA125 level after 2 courses of chemotherapy (P<0.05). The detection rate of CTCEpCAM + and CTCMUC1+ was significantly higher in chemo-resistant patients (26.3% vs. 11.9%; 26.4% vs. 13.4%, P<0.05). The median progression-free survival time for CTCMUC1+ patients trended to be longer than CTCMUC1- patients, and overall survival was shorter in CTCMUC1+ patients (P=0.043). Conclusions: Our study presents an optimized detection model for CTCs, which consists of the expression levels of three markers (EpCAM, MUC1 and WT1). In comparison with CA125, our model has high specificity and demonstrates better diagnostic values, especially for early-stage ovarian cancer. Detection of CTCEpCAM+ and CTCMUC1+ had predictive value for chemotherapy resistance, and the detection of CTCMUC1+ suggested poor prognosis.
Copyright ©2022 Chinese Journal of Cancer Research. All rights reserved.

Entities:  

Keywords:  Circulating tumor cells; diagnosis and prognosis; epithelial ovarian cancer; optimized detection model

Year:  2022        PMID: 35685992      PMCID: PMC9086574          DOI: 10.21147/j.issn.1000-9604.2022.02.04

Source DB:  PubMed          Journal:  Chin J Cancer Res        ISSN: 1000-9604            Impact factor:   4.026


  67 in total

Review 1.  Roles of CA125 in diagnosis, prediction, and oncogenesis of ovarian cancer.

Authors:  Minghai Zhang; Shanshan Cheng; Yue Jin; Yaqian Zhao; Yu Wang
Journal:  Biochim Biophys Acta Rev Cancer       Date:  2021-01-07       Impact factor: 10.680

2.  Circulating tumor cells in the peripheral blood and bone marrow of patients with ovarian carcinoma do not predict prognosis.

Authors:  Christian Marth; Jelena Kisic; Janne Kaern; Claes Tropé; Øystein Fodstad
Journal:  Cancer       Date:  2002-02-01       Impact factor: 6.860

Review 3.  Cancer stem cells in solid tumours: accumulating evidence and unresolved questions.

Authors:  Jane E Visvader; Geoffrey J Lindeman
Journal:  Nat Rev Cancer       Date:  2008-09-11       Impact factor: 60.716

4.  MUC1 overexpression results in mammary gland tumorigenesis and prolonged alveolar differentiation.

Authors:  Joyce A Schroeder; Azzah Al Masri; Melissa C Adriance; Jennifer C Tessier; Kari L Kotlarczyk; Melissa C Thompson; Sandra J Gendler
Journal:  Oncogene       Date:  2004-07-29       Impact factor: 9.867

5.  ERCC1-positive circulating tumor cells in the blood of ovarian cancer patients as a predictive biomarker for platinum resistance.

Authors:  Jan Dominik Kuhlmann; Pauline Wimberger; Agnes Bankfalvi; Thomas Keller; Sarah Schöler; Bahriye Aktas; Paul Buderath; Siegfried Hauch; Friedrich Otterbach; Rainer Kimmig; Sabine Kasimir-Bauer
Journal:  Clin Chem       Date:  2014-07-11       Impact factor: 8.327

6.  Meta-analysis of the prognostic value of circulating tumor cells detected with the CellSearch System in colorectal cancer.

Authors:  Xuanzhang Huang; Peng Gao; Yongxi Song; Jingxu Sun; Xiaowan Chen; Junhua Zhao; Huimian Xu; Zhenning Wang
Journal:  BMC Cancer       Date:  2015-03-30       Impact factor: 4.430

7.  Prognostic value of circulating tumor cells and disseminated tumor cells in patients with ovarian cancer: a systematic review and meta-analysis.

Authors:  Long Cui; Joseph Kwong; Chi Chiu Wang
Journal:  J Ovarian Res       Date:  2015-06-16       Impact factor: 4.234

8.  Circulating tumor cells: potential markers of minimal residual disease in ovarian cancer? a study of the OVCAD consortium.

Authors:  Eva Obermayr; Natalia Bednarz-Knoll; Beatrice Orsetti; Heinz-Ulrich Weier; Sandrina Lambrechts; Dan Cacsire Castillo-Tong; Alexander Reinthaller; Elena Ioana Braicu; Sven Mahner; Jalid Sehouli; Ignace Vergote; Charles Theillet; Robert Zeillinger; Burkhard Brandt
Journal:  Oncotarget       Date:  2017-11-16

9.  EMT-like circulating tumor cells in ovarian cancer patients are enriched by platinum-based chemotherapy.

Authors:  Issam Chebouti; Sabine Kasimir-Bauer; Paul Buderath; Pauline Wimberger; Siegfried Hauch; Rainer Kimmig; Jan Dominik Kuhlmann
Journal:  Oncotarget       Date:  2017-07-25

10.  Combined detection and subclass characteristics analysis of CTCs and CTECs by SE-iFISH in ovarian cancer.

Authors:  Hongyan Cheng; Shang Wang; Wenqing Luan; Xue Ye; Sha Dou; Zhijian Tang; Honglan Zhu; Peter Ping Lin; Yi Li; Heng Cui; Xiaohong Chang
Journal:  Chin J Cancer Res       Date:  2021-04-30       Impact factor: 5.087

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