Abstract

Epithelial ovarian cancer (EOC) is the most common gynecologic malignancy. To identify the micro-ribonucleic acids (miRNAs) expression profile in EOC tissues that may serve as a novel diagnostic biomarker for EOC detection, the expression of 1722 miRNAs from 15 normal ovarian tissue samples and 48 ovarian cancer samples was profiled by using a quantitative real-time polymerase chain reaction (qRT-PCR) assay. A ten-microRNA signature (hsa-miR-1271-5p, hsa-miR-574-3p, hsa-miR-182-5p, hsa-miR-183-5p, hsa-miR-96-5p, hsa-miR-15b-5p, hsa-miR-182-3p, hsa-miR-141-5p, hsa-miR-130b-5p, and hsa-miR-135b-3p) was identified to be able to distinguish human ovarian cancer tissues from normal tissues with 97% sensitivity and 92% specificity. Two miRNA clusters of miR183-96-183 (miR-96-5p, and miR-182, miR183) and miR200 (miR-141-5p, miR200a, b, c and miR429) are significantly up-regulated in ovarian cancer tissue samples compared to those of normal tissue samples, suggesting theses miRNAs may be involved in ovarian cancer development.

Highlights

  • Ovarian Cancer (OC), one of the three gynecologic malignancies, is the seventh most common cancer among women worldwide [1]

  • The study revealed that 10 dysregulated micro-ribonucleic acids (miRNAs) signature among which hsa-miR-1271-5p and hsa-miR574-3p were down-regulated; and hsa-miR-182-5p, hsa-miR-1835p, hsa-miR-96-5p, hsa-miR-182-3p, hsa-miR-141-5p, hsa-miR15b-5p, hsa-miR-130b-5p, and hsa-miR-135b-3p were overexpressed in ovarian cancer tissues

  • The 10-miRNA signature identified in the study may contribute to better understanding of the mechanism of Epithelial Ovarian Cancer (EOC) tumorigenesis and development and help in the diagnosis of EOC

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Summary

Introduction

Ovarian Cancer (OC), one of the three gynecologic malignancies, is the seventh most common cancer among women worldwide [1]. Epithelial Ovarian Cancer (EOC) accounts for about 80–90% of OCs [3]. EOC is the most lethal gynecologic malignancy in Western countries [4]. There are only a few effective biomarkers and therapies for EOC [6,7,8], and EOC’s early detection still remains a challenge for oncologists. The 5-year survival rate of more than 70% of patients with advanced-stage EOC is only 35% [5]. No effective screening method to detect early-stage OC with high specificity and sensitivity is currently available, and cancer antigen-125 together with transvaginal ultrasonography can detect only 30–45% of patients with early-stage disease [9]. Albeit deoxyribonucleic acid (DNA) methylation biomarkers play a promising role in detecting EOC, there is still a huge need to identify potential biomarkers with high specificity and sensitivity. The analytical techniques need to be standardized in order to improve detection, optimize treatment, and achieve desirable patient outcomes [10]

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