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

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...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7674435/
https://www.ncbi.nlm.nih.gov/pubmed/33208870
http://dx.doi.org/10.1038/s41598-020-77068-0
Descripción
Sumario: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.