Objective：The study was to excavated the core genes in the GEO database that affect the development of cholangiocarcinoma(CCA)by bioinformatics，and to analyze the biological function to provide theoretical basis for the diagnosis， treatment and prognosis evaluation of CCA. Methods：We analyzed three microarray datasets(GSE32879，GSE45001 and GSE76297) from the Gene Expression Omnibus(GEO). Uning GEO2R for online differential gene analysis，DAVID for differential gene pathway analysis from GO and KEGG，STRING and Cytoscape for Protein-Protein interaction network(PPI)analysis and screening of hub gene. Results：A total of 151 up-regulated genes were screened，and the top 10 most connected genes were selected through PPI analysis， which revealed that APOA1，AGXT，F13B，FETUB，FERPINC1，SLC2A2 were overexpressed and correlated with poor prognosis in cholangiocarcinoma. Conclusion：The hub genes explored by bioinformatics may play an important role in the occurrence and development of cholangiocarcinoma and provide a certain theoretical basis for further research on the molecular mechanisms of cholangiocarcinoma.