Background: Epithelial Ovarian Cancer (EOC) is often challenging to diagnose, even
though histological examination. MicroRNA (miRNA or miRNA) is bound to the target messenger
RNA (mRNA) due to which the mRNA molecules are silenced. The identification of miRNA expression-
based EOC subtypes is considered a critical means of prognostication. So far, the studies on
EOC subtypes have not been well characterized.
Objective: This study aimed to confirm the existence of miRNAs in EOC and to assess their potential
as clinical biomarkers for EOC.
Methods: We sampled 25 ovarian tumor tissues from patients with human ovarian tumors (17 malignant;
12 serous EOC, five non-serous EOC, and eight benign ovarian tumors). miRNA microarray
detection was performed to identify EOC miRNAs. Real-time PCR was adapted for the validation of
differentially expressed miRNAs detected by microarray analysis related to hybridization intensity.
Results: The results confirmed that miRNAs exist in EOC, relative expression of EOC miRNAs
demonstrated that the upregulation of miR-483-5p, and downregulation of miR-127-3p, and miR-
532-5p were significantly expressed in the malignant group than in the benign group at p < 0.05. Besides,
miR-483-5p could also distinguish EOC subtypes between serous EOC and non-serous EOC,
with a p < 0.05.
Conclusion: A comprehensive miRNA expression profiling can help to refine subtype classification
in EOC, opening new opportunities for identifying clinically applicable markers for improved stratification
and diagnostics of ovarian tumors.