Screening and identification of potential miRNA involved in ovarian cancer invasion and metastasis

• Published in: Zhōnghuá zhŏngliú zázhì Vol. 32; no. 9; p. 650
• Main Authors: Liang, Shan-hui, Li, Jun, Al-beit, Maria, Zhang, Jin, Ma, Duan, Lu, Xin
• Format: Journal Article
• Language: Chinese
• Published: China 01.09.2010
• Subjects: Cell Line, Tumor; Cystadenocarcinoma, Serous - genetics; Cystadenocarcinoma, Serous - metabolism; Cystadenocarcinoma, Serous - pathology; Female; Gene Expression Profiling; Humans; Microarray Analysis - methods; MicroRNAs - genetics; MicroRNAs - metabolism; Neoplasm Invasiveness; Neoplasm Metastasis; Ovarian Neoplasms - genetics; Ovarian Neoplasms - metabolism; Ovarian Neoplasms - pathology
• ISSN: 0253-3766

To identify potential miRNA involved in epithelial ovarian cancer (EOC) invasion and metastasis. miRNA microarray was applied to compare the miRNA expression profile between SKOV-3ip and SKOV-3 cells. Bioinformatics programs (TargetScan, MicroCosm, PicTar and GO) were used to analyze the miRNA and their potential target genes. Real-time RT-PCR was used to confirm the results of microarray and for expanding detection in another paired EOC cell lines (HO-8910 and HO-8910PM). Totally, expressions of 42 miRNA were found significantly different between SKOV-3ip and SKOV-3 cells. Among them, 10 miRNA were down-regulated, including let-7a, let-7f, miR-22 and miR-886-5p; while 32 were up-regulated, for example, let-7e and miR-519e. Bioinformatic analysis indicated that let-7a, let-7e, let-7f, miR-22 and miR-886-5p may be involved in cancer invasion and metastasis. Meanwhile, real-time RT-PCR confirmation and statistic analysis showed that let-7f and miR-22 expressions were significantly different between ovarian canc