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ABSTRACT: Abstract
Cholangiocarcinoma (CCA) is one of the most common malignant tumors. Although gene-targeted therapies have significantly improved the outcome of many cancers, the results are still not satisfactory for patients with CCA. Owing to the lack of an effective biomarker for guiding clinical treatment and monitoring prognosis in patients with CCA, the purpose of this study was to identify a new biomarker that could help predict the outcome of patients with CCA using bioinformatics tools.Gene expression data were collected from three publicly available datasets, comprising 263 patients with CCA and 22 healthy controls. Differentially expressed genes were obtained using the limma package (FDR < 0.05, |Log2FC|>1), and the respective protein-protein interaction revealed five relevant
SUBMITTER: Zhang DY
PROVIDER: S-EPMC8154480 | biostudies-literature | 2021 May
REPOSITORIES: biostudies-literature