Identification of matrix stiffness-related molecular subtypes in HCC via integrating multi-omics analysis and machine learning algorithms

Identification of matrix stiffness-related molecular subtypes in HCC via integrating multi-omics analysis and machine learning algorithms

Abstract Background Matrix stiffness is strongly associated with hepatocarcinogenesis and significantly influences the properties of hepatocellular carcinoma (HCC). Investigating matrix stiffness-related signatures provides crucial insights into HCC prognosis and therapeutic response. Methods Multi-...

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Bibliographic Details
Main Authors: Hanqi Li, Jiayi Zhang, Yu Shi, Huanhuan Wang, Ruida Yang, Shaobo Wu, Yue Li, Xue Yang, Qingguang Liu, Liankang Sun
Format: Article
Language:English
Published: BMC 2025-07-01
Series:Journal of Translational Medicine
Subjects:
Matrix stiffness
Multi-omics
Machine learning
Signature
Hepatocellular carcinoma
Online Access:https://doi.org/10.1186/s12967-025-06733-7
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