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Machine learning and multi-omics data reveal driver gene-based molecular subtypes in hepatocellular carcinoma for precision treatment.

PLoS computational biology - 1 May 2024

Wang Meng, Yan Xinyue, Dong Yanan, Li Xiaoqin, Gao Bin

Abstract excerpt

The heterogeneity of Hepatocellular Carcinoma (HCC) poses a barrier to effective treatment. Stratifying highly heterogeneous HCC into molecular subtypes with similar features is crucial for personalized anti-tumor therapies. Although driver genes play pivotal roles in cancer progression, their potential in HCC subtyping has been largely overlooked. This study aims to utilize driver genes to construct HCC subtype...

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Algorithms
Carcinoma, Hepatocellular
Computational Biology
DNA Copy Number Variations
Liver Neoplasms

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Machine Learning

Precision Medicine

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PMID: 38728362
DOI: 10.1371/journal.pcbi.1012113
PMCID: PMC11230636

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