ArticleWorld journal of gastrointestinal oncology2025
Identification of key hub genes associated with anti-gastric cancer effects of lotus plumule based on machine learning algorithms.
Article in World journal of gastrointestinal 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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Abstract
backgroundLotus plumule and its active components have demonstrated inhibitory effects on gastric cancer (GC). However, the molecular mechanism of lotus plumule against GC remains unclear and requires further investigation.
aimTo identify the key hub genes associated with the anti-GC effects of lotus plumule.
methodsThis study investigated the potential targets of traditional Chinese medicine for inhibiting GC using weighted gene co-expression network analysis and bioinformatics. Initially, the active components and targets of the lotus plumule and the differentially expressed genes associated with GC were identified. Subsequently, a protein-protein interaction network was constructed to elucidate the interactions between drug targets and disease-related genes, facilitating the identification of hub genes within the network. The clinical significance of these hub genes was evaluated, and their upstream transcription factors and downstream targets were identified. The binding ability of a hub gene with its downstream targets was verified using molecular docking technology. Finally, molecular docking was performed to evaluate the binding affinity between the active ingredients of lotus plumule and the hub gene.
resultsThis study identified 26 genes closely associated with GC. Machine learning analysis and external validation narrowed the list to four genes: Aldo-keto reductase family 1 member B10, fructose-bisphosphatase 1, protein arginine methyltransferase 1, and carbonic anhydrase 9. These genes indicated a strong correlation with anti-GC activity.
conclusionLotus plumule exhibits anti-GC effects. This study identified four hub genes with potential as novel targets for diagnosing and treating GC, providing innovative perspectives for its clinical management.
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