Six genes involved in prognosis of hepatocellular carcinoma identified by Cox hazard regression
نویسندگان
چکیده
Abstract Background Hepatocellular carcinoma (HCC), derived from hepatocytes, is the main histological subtype of primary liver cancer and poses a serious threat to human health due high incidence poor prognosis . This study aimed establish multigene prognostic model predict patients with HCC. Results Gene expression datasets (GSE121248, GSE40873, GSE62232) were used identify differentially expressed genes (DEGs) between tumor adjacent or normal tissues, then hub screened by protein–protein interaction (PPI) network Cytoscape software. Seventeen among significantly associated construct through COX hazard regression analysis. The predictive performance this was evaluated TCGA data further validated independent dataset GSE14520. Six ( CDKN3, ZWINT, KIF20A, NUSAP1, HMMR, DLGAP5 ) involved in model, which separated HCC into high- low-risk groups. Kaplan–Meier (KM) survival analysis risk score demonstrated that group represented advantage. Univariate multivariate showed could be an factor. receiver operating characteristic (ROC) curve there better power than other clinical indicators. At last, results GSE14520 reliability some extent. Conclusion significance for HCC, according may factor traditional
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ژورنال
عنوان ژورنال: BMC Bioinformatics
سال: 2021
ISSN: ['1471-2105']
DOI: https://doi.org/10.1186/s12859-021-04095-7