Identification of miRNAs as diagnostic and prognostic markers in hepatocellular carcinoma.

ABSTRACT: The development of high-throughput technologies has yielded a large amount of data from molecular and epigenetic analysis that could be useful for identifying novel biomarkers of cancers. We analyzed Gene Expression Omnibus (GEO) DataSet micro-ribonucleic acid (miRNA) profiling datasets to identify miRNAs that could have value as diagnostic and prognostic biomarkers in hepatocellular carcinoma (HCC). We adopted several computing methods to identify the functional roles of these miRNAs. Ultimately, via integrated analysis of three GEO DataSets, three differential miRNAs were identified as valuable markers in HCC. Combining the results of receiver operating characteristic (ROC) analyses and Kaplan-Meier Plotter (KM) survival analyses, we identified hsa-let-7e as a novel potential biomarker f

SUBMITTER: Liang H 

PROVIDER: S-EPMC7950227 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature