Open AccessDevelopment of Prognostic Evaluation Model to Predict the Overall Survival and Early Recurrence of Hepatocellular Carcinoma
Author(s) -
Yue Zhong,
Yong Yang,
Lei He,
Yang Zhou,
Niangmei Cheng,
Geng Chen,
Bixing Zhao,
Yingchao Wang,
Gaoxiong Wang,
Xiaolong Liu
Publication year - 2021
Publication title -
journal of hepatocellular carcinoma
Language(s) - English
Resource type - Journals
ISSN - 2253-5969
DOI - 10.2147/jhc.s303330
Subject(s) - hepatocellular carcinoma , receiver operating characteristic , oncology , proportional hazards model , medicine , prognostic model , univariate , cohort , multivariate statistics , multivariate analysis , survival analysis , framingham risk score , cancer , overall survival , disease , machine learning , computer science
The aberrant expressions of lncRNAs have been frequently demonstrated to be closely associated with the prognosis of patients in many cancer types including hepatocellular carcinoma (HCC). Integration of these lncRNAs might provide accurate evaluation of HCC. Therefore, this study aims to develop a novel prognostic evaluation model based on the expression of lncRNAs to predict the survival of HCC patients, postoperatively.