Transcriptomic analysis and identification of prognostic biomarkers in cholangiocarcinoma.

Transcriptomic analysis and identification of prognostic biomarkers in cholangiocarcinoma. Oncol Rep. 2019 Sep 17;: Authors: Li H, Long J, Xie F, Kang K, Shi Y, Xu W, Wu X, Lin J, Xu H, Du S, Xu Y, Zhao H, Zheng Y, Gu J Abstract 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', 'ext...
Source: Oncology Reports - Category: Cancer & Oncology Tags: Oncol Rep Source Type: research