Objective To construct a protein interaction network based on high-throughput sequencing data of liver cancer-related non-coding RNAs, to perform a functional enrichment analysis, and to screen out circular RNAs (circRNAs) participating in the development and progression of liver cancer via the mechanism of competitive endogenous RNA (ceRNA) . Methods The circRNA-miRNA-mRNA network was constructed using gene expression omnibus (GEO) data based on the ceRNA theory. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genome (KEGG) analyses were performed to identify circRNAs with potential ceRNA function and explore their functions. Results A total of 9 co-expressed circRNAs, 20 co-expressed miRNAs, and 153 co-expressed mRNAs were screened out from the GEO database, and the liver cancer-related circRNA-miRNA-mRNA network was successfully constructed. The GO analysis revealed 90 biological processes, which mainly involved 12 functional clusters including hepatocyte differentiation, phase-change regulation of cell cycle, and negative regulation of transcription factor activity. The KEGG analysis showed that the co-expressed circRNAs were also involved in the p53 and PI3 K-Akt signaling pathways. Conclusion This study provides new insights for circRNAs mediating the development and progression of liver cancer through the mechanism of ceRNA.
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