Six genes involved in prognosis of hepatocellular carcinoma identified by Cox hazard regression

BMC Bioinformatics

Yongchao Gao¹  Honghao Zhou¹  Tao Liu²  Wei Zhang³  Qinghong Dai³  Xiong Li⁴ 

[1] Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 87 Xiangya Road, 410008, Changsha, People’s Republic of China;Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, 110 Xiangya Road, 410078, Changsha, People’s Republic of China;Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, 110 Xiangya Road, 410078, Changsha, People’s Republic of China;National Clinical Research Center for Geriatric Disorders, 87 Xiangya Road, 410008, Changsha, People’s Republic of China;Shenzhen Center for Chronic Disease Control, Shenzhen, People’s Republic of China;Shenzhen Center for Chronic Disease Control, Shenzhen, People’s Republic of China;Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 87 Xiangya Road, 410008, Changsha, People’s Republic of China;Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, 110 Xiangya Road, 410078, Changsha, People’s Republic of China;Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, 110 Xiangya Road, 410078, Changsha, People’s Republic of China;National Clinical Research Center for Geriatric Disorders, 87 Xiangya Road, 410008, Changsha, People’s Republic of China;The First Affiliated Hospital of Guangdong Pharmaceutical University, 510060, Guangzhou, People’s Republic of China;

关键词: Cox hazard regression;    DEGs;    HCC;    Hub gene;    Risk score;    Prognostic model;   

DOI  :  10.1186/s12859-021-04095-7

来源: Springer

【 摘 要 】

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

【 授权许可】

CC BY