Abstract: Objective To investigate the mechanism of miRNA promoting invasion and metastasis of ovarian cancer. 
Methods By analyzing the miRNA expression profile of ovarian cancer in GSE119055 dataset of high-throughout gene expression omnibus (GEO), we screened the differential miRNAs. Prognostic miRNAs and prognostic differential genes were screened using the cancer genome atlas program (TCGA) database. The effect of heterogeneous expression of prognostic miRNA on the migration and invasion of ovarian cancer cells was detected by wound healing test and Transwell method. Bioinformatics website Starbase was used to predict the likelihood of targeted binding of prognosis related miRNAs and prognostic related genes. 
Results There were 32 differential miRNAs in the GSE119055 dataset, 20 up-regulated miRNAs and 12 down-regulated miRNAs, among which the prognostic related miRNAs were miR-187-3p and miR-381-5p. The results of wound healing test and Transwell showed that overexpression of miR-187-3p or inhibition of miR-381-5p could significantly inhibit the migration and invasion of ovarian cancer cells. Starbase predicted that there were 29 potential target genes of miR-187-3p and miR-381-5p. 
Conclusion miR-187-3p and miR-381-5p are associated with the prognosis of ovarian cancer. miR-187-3p and miR-381-5p provide a new theoretical basis for the treatment of ovarian cancer as potential target genes promoting invasion and metastasis.

Key words: ovarian neoplasms, microRNAs, prognosis