Machine learning-driven multi-omics analysis identifies a prognostic gene signature associated with programmed cell death and metabolism in hepatocellular carcinoma

Machine learning-driven multi-omics analysis identifies a prognostic gene signature associated with programmed cell death and metabolism in hepatocellular carcinoma

Abstract Background Hepatocellular carcinoma (HCC) is the most prevalent primary liver malignancy, contributing significantly to global mortality due to limited therapeutic options. Programmed cell death (PCD) and metabolism are key cancer hallmarks, influencing tumor progression and treatment respo...

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Bibliographic Details
Main Authors: Xiang Li, Donghao Yin, Jiahao Geng, Yanyu Xu, Zijing Xu, Xuemeng Yang, Quanwei Li, Zimeng Shang, Zhiyun Yang, Zhong Xu, Jiabo Wang, Enxiang Zhang, Xinhua Song
Format: Article
Language:English
Published: BMC 2025-08-01
Series:Biological Procedures Online
Subjects:
Hepatocellular Carcinoma
Programmed Cell Death
Metabolism
Prognosis
Therapy
Online Access:https://doi.org/10.1186/s12575-025-00286-1
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