A Ten-MicroRNA Signature Identified from a Genome-Wide MicroRNA Expression Profiling in Human Epithelial Ovarian Cancer

• DOI: 10.1371/journal.pone.0096472
• Publication Date: 2014-05-09T17:12:26Z
• Authors: Lin Wang; Miao-Jun Zhu; Ai-Min Ren; Hong-Fei Wu; Wu-Mei Han; Ruo-Ying Tan; Rui-Qin Tu
• Keywords: Ovarian Neoplasms; 0301 basic medicine; Reverse Transcriptase Polymerase Chain Reaction; Science; Gene Expression Profiling; Q; R; Reproducibility of Results; Sensitivity and Specificity; Up-Regulation; 3. Good health; Gene Expression Regulation, Neoplastic; MicroRNAs; 03 medical and health sciences; Biomarkers, Tumor; Medicine; Humans; Female; Neoplasms, Glandular and Epithelial; Research Article; Genome-Wide Association Study

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