Evidence mapPaperPMID 40413683Full record

ArticleDiscover oncology2025

Identification of key ferroptosis genes in hepatocellular carcinoma and type 2 diabetes mellitus through bioinformatics analysis.

Jinjin Zhou, Yage Shi, Yulun Jian, Yuhan Li, Wenya Yu, Wei Mu, Yang Ge

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Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jinjin ZhouSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
Yage ShiSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
Yulun JianSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
Yuhan LiSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
Wenya YuSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
Wei MuSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
Yang GeSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China. geyang19861026@icloud.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ferroptosis is a programmed cell death mode associated with iron metabolism, with accumulation of intracellular lipid peroxides, which is closely related to the occurrence and development of multiple diseases, including type 2 diabetes mellitus (T2DM) and hepatocellular carcinoma (HCC). T2DM is a chronic metabolic disorder characterized by a combination of impaired insulin sensitivity and insufficient insulin production, frequently accompanied by obesity and fatty liver, which increases the risk of developing HCC. To explore the complex interactions between ferritin deposition, T2DM, and HCC, we performed bioinformatics analysis on publicly available gene expression data and identified 23 differentially expressed genes (DEGs) that are commonly expressed in both T2DM and HCC. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses revealed that these DEGs are primarily enriched in fatty acid metabolism and ferroptosis pathways. The weighted gene co-expression network analysis (WGCNA) identified 6 key genes associated with the pathogenesis of both diseases. Taking the intersection of DEGs and iron deposition-related genes, we identified ACSL4 as a key ferroptosis gene involved in the co-morbidity of T2DM and HCC. To validate the bioinformatics findings, we assessed the expression of ACSL4 using Receiver operating characteristic (ROC) curve analysis, which revealed an Area Under the Curve (AUC) of 0.886 for HCC and 0.745 for T2DM. Additionally, an insulin resistance model was established in HepG2 cells by treatment with 350 µM palmitic acid (PA), resulting in significant changes in cell morphology. Oil Red O staining showed a marked increase in lipid accumulation. RT-PCR analysis further confirmed the significant alteration in ACSL4 gene expression. In conclusion, this study is the first to integrate bioinformatics tools to investigate the potential mechanistic links between iron metabolism and the comorbidity of T2DM and HCC, uncovering a novel pathogenic pathway. These findings provide new directions for drug development and therapeutic strategies in the future.

Indexed as

ACSL4Differentially expressed genesFerroptosisHepatocellular carcinomaType 2 diabetes mellitus

Identifiers

PMID40413683
PMCPMC12104123

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.