TY - JOUR AB - Cholangiocarcinoma (CCA) is acknowledged as the second most commonly diagnosed primary liver tumor and is associated with a poor patient prognosis. The present study aimed to explore the biological functions, signaling pathways and potential prognostic biomarkers involved in CCA through transcriptomic analysis. Based on the transcriptomic dataset of CCA from The Cancer Genome Atlas (TCGA), differentially expressed protein‑coding genes (DEGs) were identified. Biological function enrichment analysis, including Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, was applied. Through protein‑protein interaction (PPI) network analysis, hub genes were identified and further verified using open‑access datasets and qRT‑PCR. Finally, a survival analysis was conducted. A total of 1,463 DEGs were distinguished, including 267 upregulated genes and 1,196 downregulated genes. For the GO analysis, the upregulated DEGs were enriched in ‘cadherin binding in cell‑cell adhesion’, ‘extracellular matrix (ECM) organization’ and ‘cell‑cell adherens junctions’. Correspondingly, the downregulated DEGs were enriched in the ‘oxidation‑reduction process’, ‘extracellular exosomes’ and ‘blood microparticles’. In regards to the KEGG pathway analysis, the upregulated DEGs were enriched in ‘ECM‑receptor interactions’, ‘focal adhesions’ and ‘small cell lung cancer’. The downregulated DEGs were enriched in ‘metabolic pathways’, ‘complement and coagulation cascades’ and ‘biosynthesis of antibiotics’. The PPI network suggested that CDK1 and another 20 genes were hub genes. Furthermore, survival analysis suggested that CDK1, MKI67, TOP2A and PRC1 were significantly associated with patient prognosis. These results enhance the current understanding of CCA development and provide new insight into distinguishing candidate biomarkers for predicting the prognosis of CCA. AD - Department of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, P.R. China MOE Key Laboratory of Bioinformatics, BNIRST Bioinformatics Division, Department of Automation, Tsinghua University, Beijing 100084, P.R. China AU - Li,Hanyu AU - Long,Junyu AU - Xie,Fucun AU - Kang,Kai AU - Shi,Yue AU - Xu,Weiyu AU - Wu,Xiaoqian AU - Lin,Jianzhen AU - Xu,Haifeng AU - Du,Shunda AU - Xu,Yiyao AU - Zhao,Haitao AU - Zheng,Yongchang AU - Gu,Jin DA - 2019/11/01 DO - 10.3892/or.2019.7318 EP - 1842 IS - 5 JO - Oncol Rep KW - transcriptomic analysis hub genes differentially expressed protein‑coding genes cholangiocarcinoma prognosis biomarker PY - 2019 SN - 1021-335X 1791-2431 SP - 1833 ST - Transcriptomic analysis and identification of prognostic biomarkers in cholangiocarcinoma T2 - Oncology Reports TI - Transcriptomic analysis and identification of prognostic biomarkers in cholangiocarcinoma UR - https://doi.org/10.3892/or.2019.7318 VL - 42 ER -