JOURNAL ARTICLE

MiRNA expression signature for potentially predicting the prognosis of ovarian serous carcinoma

Xiaotang Yu, Xinchen Zhang, Tie Bi, Yanfang Ding, Jinyao Zhao, Chang Wang, Tingting Jia, Dan Han, Gordon Guo, Bo Wang, Jiyong Jiang, Shiying Cui
Tumour Biology: the Journal of the International Society for Oncodevelopmental Biology and Medicine 2013, 34 (6): 3501-8
23836287
One of the best prognostic predictors for patients with epithelial ovarian cancer is the Federation of Obstetrics and Gynecology (FIGO) stage at diagnosis. Advanced-stage ovarian serous carcinoma (OSC) generally have poor prognosis. The goal of this study is to develop and validate a miRNA expression profile that can differentiate the OSC at early and advanced stages and study its correlation with the prognosis of OSC. To identify a unique microRNA (miRNA) pattern associated with the progression of OSC at early and advanced stages, a miRNA microarray was performed using Chinese tumor bank specimens of patients with OSC stage I or III in a retrospective analysis. The expression of four dysregulated miRNAs was validated using quantitative real-time polymerase chain reaction (qRT-PCR) in an external cohort of 51 cases of OSC samples at stages I and III. Kaplan-Meier analysis was performed to analyze the correlation between the expression of some miRNAs and prognosis. Of the 768 miRNAs analyzed in the microarray, 26 miRNAs were significantly either up- or downregulated, with at least a 2-fold difference, in OSC stage I compared with stage III. The qRT-PCR results showed that miR-510, miR-509-5p, and miR-508-3p were significantly downregulated and that miR-483-5p was upregulated in stage III OSC compared with stage I, which was consistent with the microarray results. Kaplan-Meier analysis showed low miR-510 expression, low miR-509-5p expression, and advanced FIGO stage, and chemotherapy resistance were significantly associated with poorer overall survival (P < 0.05). Our results suggest that miRNAs may play a role in the progression of OSC, and miR-510 and miR-509-5p may be considered novel-candidate clinical biomarkers for predicting OSC outcome.

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