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Study on the Correlation between Serum miR-93 and Ovarian Cancer
Li Jiayi1#, Wu Shuang1#, Fan Lifei1, Liu Yaping2*
1School of Life Sciences, Inner Mongolia University, Hohhot 010021, China; 2Department of Obstetrics and Gynecology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot 010050, China
Abstract: Most patients (70%) suffered from the ovarian cancer (OvCa) were diagnosed in advanced stage. It is essential to find out the non-invasive biomarkers to facilite the early detection of OvCa. This study was designed to investigate the role of miR-93 as a potential biomarker in the early diagnosis of ovarian cancer. We collected the serum samples from 12 healthy subjects， 12 benign tumor patients and 12 malignant tumor patients， respectively. Then Realtime
quantitative PCR (qRT-PCR) was used to detect the levels of miR-93， miR-21， miR-200c and miR-let-7f2， and the ROC (receiver operating characteristic curve) was analyzed by 2–ΔCt method. The results showed that the relative level of miR-93 in ovarian cancer patients was significantly higher than that in the control group (P<0.05). miR-93 had a high diagnostic value (AUC=0.889， sensitivity=0.917， specificity=0.833). These results suggested that serum miR-93 could be used as a potential early diagnostic marker for ovarian cancer. And the serum miR-93 as a supplemental test of existing diagnostic methods was expected to improve the clinical detection rate of ovarian cancer.
quantitative PCR (qRT-PCR) was used to detect the levels of miR-93， miR-21， miR-200c and miR-let-7f2， and the ROC (receiver operating characteristic curve) was analyzed by 2–ΔCt method. The results showed that the relative level of miR-93 in ovarian cancer patients was significantly higher than that in the control group (P<0.05). miR-93 had a high diagnostic value (AUC=0.889， sensitivity=0.917， specificity=0.833). These results suggested that serum miR-93 could be used as a potential early diagnostic marker for ovarian cancer. And the serum miR-93 as a supplemental test of existing diagnostic methods was expected to improve the clinical detection rate of ovarian cancer.
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