Evidence map›Paper›PMID 40370109›Full record

ArticleCancer medicine2025

In Silico Network Toxicology, Molecular Docking, and Multi-Level Bioinformatics Reveal Methyl Eugenol-Induced Hepatocellular Carcinoma Mechanisms in Humans.

Fuat Karakuş, Zübeyde Tanrıverdi, Burak Kuzu

Abstract read
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Article in Cancer medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Fuat KarakuşDepartment of Pharmaceutical Toxicology, Faculty of Pharmacy, Van Yuzuncu Yil University, Van, Turkey.ORCID https://orcid.org/0000-0002-5260-3650
Zübeyde TanrıverdiDepartment of Pharmaceutical Toxicology, Faculty of Pharmacy, Ağrı İbrahim Çeçen University, Ağrı, Turkey.
Burak KuzuDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, Van Yuzuncu Yil University, Van, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMethyl eugenol (ME), a natural compound found in various essential oils, has recently been classified as a Group 2A carcinogen by the International Agency for Research on Cancer.

methodsThis study aims to investigate the potential molecular mechanisms and underlying ME-induced hepatocellular carcinoma (HCC) in humans using network toxicology, molecular docking, and integrative bioinformatics approaches, including transcriptomic and survival analyses of human HCC datasets.

resultsEnrichment analysis highlighted significant associations with pathways related to steroid metabolic processes, extracellular exosomes, and diverse binding activities. KEGG pathway enrichment further implicated metabolic pathways in ME-induced HCC development. Integration of STRING and Cytoscape analyses identified 14 hub targets, including key proteins such as AURKB, CCNB1, CDK1, and PLK1. Molecular docking studies demonstrated weak binding affinities of ME to these targets compared to their specific inhibitors. However, microarray data and survival analyses of human HCC samples revealed that AURKB, CCNB1, CDK1, and PLK1 are upregulated in HCC, with higher expression levels correlating with poorer overall survival, particularly for CCNB1.

conclusionsThese findings suggest that ME exposure may enhance the expression of these genes in hepatocytes, disrupting the cell cycle and promoting proliferation. This study provides valuable insights into the molecular mechanisms of ME-induced HCC in humans and highlights potential therapeutic targets, such as CCNB1, for further investigation.

Indexed as

Carcinoma, HepatocellularEugenolLiver NeoplasmsAurora Kinase BCDC2 Protein KinaseCell Cycle ProteinsComputational BiologyComputer SimulationCyclin B1Gene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansMolecular Docking SimulationPolo-Like Kinase 1Protein Interaction MapsAURKB protein, humanAurora Kinase BCCNB1 protein, humanCDC2 Protein KinaseCDK1 protein, humanCell Cycle ProteinsCyclin B1EugenolmethyleugenolPolo-Like Kinase 1Protein Serine-Threonine KinasesProto-Oncogene ProteinsCCNB1cell cyclehepatocellular carcinomain silicomethyl eugenol

Identifiers

PMID40370109
PMCPMC12079025

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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 OpenQuestion graph.