Novel prognostic signature for hepatocellular carcinoma using a comprehensive machine learning framework to predict prognosis and guide treatment

Novel prognostic signature for hepatocellular carcinoma using a comprehensive machine learning framework to predict prognosis and guide treatment

BackgroundHepatocellular carcinoma (HCC) is highly aggressive, with delayed diagnosis, poor prognosis, and a lack of comprehensive and accurate prognostic models to assist clinicians. This study aimed to construct an HCC prognosis-related gene signature (HPRGS) and explore its clinical application v...

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Bibliographic Details
Main Authors: Shengzhou Zheng, Zhixiong Su, Yufang He, Lijie You, Guifeng Zhang, Jingbo Chen, Lihu Lu, Zhenhua Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-09-01
Series:Frontiers in Immunology
Subjects:
hepatocellular carcinoma
prognosis signature
treatment
machine learning framework
TCGA
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2024.1454977/full

Internet

https://www.frontiersin.org/articles/10.3389/fimmu.2024.1454977/full

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