Purpose: Ovarian cancer (OC) is first gynaecologic cancer that causes women death and epithelial ovarian cancer (EOC) is the most lethal ovarian cancer type. While treatment is commonly successful, some cases (10-20%) show resistance to chemotherapy which is followed by recurrence. MicroRNA (miRNA) based diagnosis methods are slightly important for recurrent ovarian cancer diagnosis. We aimed to detect novel circulating miRNAs to be used as an early diagnosis and prediction tools for recurrent EOC.
Methods: In this study, recurrent EOC serum samples and healthy control serum samples were compared for miRNA expression analysis by microarray. Microarray results were analyzed by bioinformatics tools and differentially expressed hsa-miR-1273g-3p was obtained. After microarray analysis, differentially expressed hsa-miR-1273g-3p was validated by Real-Time PCR (RT-qPCR). The relation between target genes of hsa-miR-1273g-3p and ovarian cancer were examined by Pathway Studio® (v.11.4.0.8).
Results: The expression of hsa-miR-1273g-3p was found to be significantly down-regulated by t test Bonferroni FWER corrected p < 0.05 and fold change > 2, in recurrence EOC compare with healthy controls groups. The RT-qPCR results confirmed that relative expressions of the serum hsa-miR-1273g-3p were significantly down-regulated in patients with recurrent EOC (p = 0.0275). Serum hsa-miR-1273g-3p levels could discriminate patients with recurrent EOC from healthy controls, with a power area under the curve (AUC) of 0.7.
Conclusion: This study suggested that hsa-miR-1273g-3p plays a significant role in regulation of related genes, which are TNF-alfa, COL1A1, MMP-2, MMP-9, with recurrent EOC outcome. hsa-miR-1273g-3p may be used as a prognostic marker for recurrent EOC after chemotherapy.
Keywords: Biomarker; Diagnosis; MicroRNA; Microarray; Ovarian cancer; Recurrent.