The role of mitochondria-related genes in hepatocellular carcinoma prognosis: construction of prognostic models based on machine learning.

ABSTRACT:

Background

Hepatocellular carcinoma (HCC), a common and lethal form of liver cancer, includes mitochondrial dysfunction in its pathogenesis.

Objectives

This study investigated the relationship between mitochondrial function-related genes and HCC progression.

Methods

We systematically retrieved mitochondrial genetic data from the MitoCarta database and identified differentially expressed genes through Gene Expression Omnibus analysis. Weighted gene co-expression network analysis was subsequently employed to construct co-expression networks and identify key modules associated with HCC progression. We evaluated 113 machine learning algorithms to develop mitochondrial gene-based prognostic models. Gene set enrichment analysis further delineated the pathways and biological

SUBMITTER: Gao F 

PROVIDER: S-EPMC12297210 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature