Characterization of miR-200 family members as blood biomarkers for human and laying hen ovarian cancer

Choi, Pui-Wah; Bahrampour, Abbas; Ng, Shu-Kay; Liu, Sze Kei; Qiu, Wei; Xie, Fang; Kuo, Winston Patrick; Kwong, Joseph; Hales, Karen H.; Hales, Dale B.; Wong, Kwong-Kwok; Norwitz, Errol R.; Chow, Chun Kin; Berkowitz, Ross S.; Ng, Shu-Wing

Abstract

MicroRNA-200 (miR-200) family is highly expressed in ovarian cancer. We evaluated the levels of family members relative to the internal control miR-103a in ovarian cancer and control blood specimens collected from American and Hong Kong Chinese institutions, as well as from a laying hen spontaneous ovarian cancer model. The levels of miR-200a, miR-200b and miR-200c were significantly elevated in all human cancer versus all control blood samples. Further analyses showed significantly higher miR-200 levels in Chinese control (except miR-429) and cancer (except miR-200a and miR141) samples than their respective American counterparts. Subtype-specific analysis showed that miR-200b had an overall elevated level in serous cancer compared with controls, whereas miR-429 was significantly elevated in clear cell and endometrioid cancer versus controls. MiR-429 was also significantly elevated in cancer versus control in laying hen plasma samples, consistent with the fact that endometrioid tumor is the prevalent type in this species. A neural network model consisting of miR-200a/200b/429/141 showed an area under the curve (AUC) value of 0.904 for American ovarian cancer prediction, whereas a model consisting of miR-200b/200c/429/141 showed an AUC value of 0.901 for Chinese women. Hence, miR-200 is informative as blood biomarkers for both human and laying hen ovarian cancer.

• Journal Article Type: Article
• Acceptance Date: Oct 21, 2020
• Online Publication Date: Nov 18, 2020
• Deposit Date: Jun 21, 2023
• Journal: Scientific Reports
• Print ISSN: 2045-2322
• Publisher: Nature Publishing Group
• Peer Reviewed: Peer Reviewed
• Volume: 10
• Issue: 1
• DOI: https://doi.org/10.1038/s41598-020-77068-0
• Keywords: Multidisciplinary
• Additional Information: Received: 30 May 2020; Accepted: 21 October 2020; First Online: 18 November 2020; : The authors declare no competing interests.