ArticlePeerJ2024
DNA methylation and gene expression profiling reveal potential association of retinol metabolism related genes with hepatocellular carcinoma development.
Article in PeerJ, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Multi-omics analysis of NEDD1 in hepatocellular carcinoma: biological function, prognostic value, and clinical significance.Scientific reports · 2026Article
- Epigenetic silencing ofFrontiers in genetics · 2026Article
- Advancing liver cancer diagnosis and treatment with multi-omics approaches: a systematic review.Discover oncology · 2025Review
- Integrated Multi-Omics Analysis Uncovers Immune-Metabolic Interplay in Hepatocellular Carcinoma Tumor Microenvironment.Cancers · 2025Article
- Article
- Relationship between retinol metabolism and hepatocellular carcinoma: a comprehensive analysis of Mendelian randomization, prognostic characteristic and experiment.Discover oncology · 2025Article
- Antimicrobial activity and cytotoxic and epigenetic effects of tannic acid-loaded chitosan nanoparticles.Scientific reports · 2024Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
Background: Aberrant DNA methylation patterns play a critical role in the development of hepatocellular carcinoma (HCC). However, the molecular mechanisms associated with these aberrantly methylated genes remain unclear. This study aimed to comprehensively investigate the methylation-driven gene expression alterations in HCC using a multi-omics dataset. Methods: Whole genome bisulfite sequencing (WGBS) and RNA sequencing (RNA-seq) techniques were used to assess the methylation and gene expression profiles of HCC tissues (HCCs) and normal adjacent tissues (NATs). The candidate genes' potential function was further investigated using single-cell RNA sequencing (scRNA seq) data. Results: We observed widespread hypomethylation in HCCs compared to NATs. Methylation levels in distinct genomic regions exhibited significant differences between HCCs and NATs. We identified 247,632 differentially methylated regions (DMRs) and 4,926 differentially expressed genes (DEGs) between HCCs and NATs. Integrated analysis of DNA methylation and RNA-seq data identified 987 methylation-driven candidate genes, with 970 showing upregulation and 17 showing downregulation. Four genes involved in the retinol metabolic pathway, namely
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Registered trials
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