Open AccessA Novel Metabolism-Related Signature as a Candidate Prognostic Biomarker for Hepatocellular Carcinoma
Author(s) -
Wenwen Wang,
Kidane Siele Embaye,
Qing Yang,
Lingzhi Qin,
Chao Zhang,
Liwei Liu,
Xiaoqian Zhan,
Fengdi Zhang,
Xi Wang,
Shenghui Qin
Publication year - 2021
Publication title -
journal of hepatocellular carcinoma
Language(s) - English
Resource type - Journals
ISSN - 2253-5969
DOI - 10.2147/jhc.s294108
Subject(s) - proportional hazards model , hepatocellular carcinoma , lasso (programming language) , oncology , multivariate statistics , univariate , multivariate analysis , medicine , computational biology , biology , computer science , machine learning , world wide web
Given that metabolic reprogramming has been recognized as an essential hallmark of cancer cells, this study sought to investigate the potential prognostic values of metabolism-related genes (MRGs) for the diagnosis and treatment of hepatocellular carcinoma (HCC).