Objective To explore the differential expression of circular RNAs (circRNAs) in polycystic ovary syndrome (PCOS) by bioinformatics, and predict the microRNAs (miRNAs) associated with them. Methods The expression profile of cumulus cells gene chip in PCOS was searched in the Gene Expression Omnibus database, and differential circRNAs were screened by GEO2R tool of the database. The Gene Ontology and Kyoto Encyclopedia of Genes and Genomes signaling pathways of different circRNA genes were analyzed using the DAVID 6.8 database. Circular RNA interactome was used to predict the potential regulated miRNAs. Cytoscape software was used to establish circRNA-miRNA network map. The potential regulatory miRNAs were predicted by the 10 circRNAs with the most significant differences in up-regulation and down-regulation. Results A total of 247 circRNAs were obtained in PCOS, and 277 miRNAs binding to up-regulated circRNA genes and 125 miRNAs binding to down-regulated circRNA genes were predicted. The top 10 miRNAs that could bind to multiple differential circRNAs were hsa-miR-557, hsa-miR-507, hsa-miR-224, hsa-miR-136, hsa-miR-127-5p, hsa-miR-579, hsa-miR-502-5p, hsa-miR-186, hsa-miR-1253, and hsa-miR-432. Conclusion The differential expression analysis of circRNAs is helpful to understand the main role of circRNAs in PCOS, and the prediction of potential regulated miRNAs can help to understand the pathogenesis of the disease.