Research Article

MicroRNA Expression Profiling of Epithelial Ovarian Cancer Identifies New Markers of Tumor Subtype

Author(s): Yanisa Rattanapan, Veerawat Korkiatsakul, Adcharee Kongruang, Teerapong Siriboonpiputtana, Budsaba Rerkamnuaychoke and Takol Chareonsirisuthigul*

Volume 9 , Issue 4 , 2020

Page: [289 - 294] Pages: 6

DOI: 10.2174/2211536609666200722125737

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Abstract

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.

Keywords: Epithelial ovarian cancer, microarray, miR-127-3p, miR-483-5p, miR-532-5p, real-time PCR.

Graphical Abstract

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