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eISSN: 1643-3750

Tissue miR-193b as a Novel Biomarker for Patients with Ovarian Cancer

Haiyan Li, Yuping Xu, Weifeng Qiu, Danni Zhao, Yuanzhen Zhang

(Department of Gynecology and Obstetrics, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China (mainland))

Med Sci Monit 2015; 21:3929-3934

DOI: 10.12659/MSM.895407

Published: 2015-12-16


BACKGROUND: MiRNAs play important roles in regulating many fundamental biological processes. Deregulation of miRNAs is involved in the initiation and progression of cancer. MiR-193b is regarded as tumor suppressor in many types of cancers. However, the role of miR-193b in ovarian cancer is poorly understood.
MATERIAL AND METHODS: The expression level of miR-193b in ovarian cancer cell lines and ovarian cancer samples was evaluated using quantitative real-time reverse transcription-PCR (qRT-PCR). The ovarian cancer patients were categorized into a high miR-193b expression group and a low miR-193b expression group according to the median miR-193b expression level. The correlation between tissue miR-193b expression and the patients’ clinicopathological factors, as well as survival, was also analyzed.
RESULTS: The results showed that the miR-193b expression was significantly down-regulated in ovarian cancer cell lines and tumor tissues compared with normal controls. In addition, tissue miR-193b expression was positively correlated with FIGO stage (P=0.001), histological grade (P=0.032), ascites (P=0.019), lymph node metastasis (P=0.003), and tumor size (P=0.041). Among 116 patients with ovarian cancer examined, the 5-year overall survival (OS) rates were 62.5% and 22.01% in patients with high and low miR-193b expression, respectively (P=0.003). Multivariate analysis showed that tissue miR-193b is an independent prognostic factor in patients with ovarian cancer (HR=4.219; P=0.015).
CONCLUSIONS: Reduction of miR-193b was found in ovarian cancer and its lower expression was associated with poorer prognosis. Tissue miR-193b showed potential as novel biomarker for ovarian cancer.

Keywords: Cell Line, Tumor, Biomarkers, Tumor - metabolism, Down-Regulation, Early Diagnosis, Female, Humans, MicroRNAs - metabolism, Ovarian Neoplasms - pathology, Risk Factors, Survival Analysis



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