ArticlePLoS computational biology2026
Multi-omics and network pharmacology identify IGFBP1 as an m6A-Epigenetic target of pueraria in NSCLC therapy.
Article in PLoS computational biology, 2026. 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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6 authors.
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Abstract
The dysregulation of N6-methyladenosine (m6A) modification drives progression in non-small cell lung cancer (NSCLC), yet its interplay with traditional medicine-derived therapeutics remains largely unexplored. We propose a novel strategy that integrates m6A-based prognostic subtypes with Pueraria pharmacology to identify prognostic markers and therapeutic targets related to m6A regulators for NSCLC treatment. Multi-omics clustering of 1,661 NSCLC samples identified three distinct m6A modification patterns. Based on these, a robust 19-gene prognostic signature was constructed via Cox regression and validated in the GSE31210 dataset. This risk model significantly correlated with immune infiltration and patient survival. Furthermore, the expression patterns of these genes were validated via single-cell RNA-sequencing (scRNA-seq) and RT-qPCR in NSCLC cell lines. To identify pharmacological interventions, we intersected the m6A prognostic signature with 7,333 NSCLC-related genes and 366 Pueraria targets, revealing IGFBP1 as the core therapeutic nexus. Immunohistochemistry confirmed the expression of IGFBP1 in NSCLC tissues. Molecular docking and 100-ns molecular dynamics (MD) simulations confirmed stable binding of Pueraria compounds to IGFBP1, specifically 7,8,4'-trihydroxyisoflavone (binding energy = -8.3 kcal/mol) and genistein (-7.4 kcal/mol). This study establishes IGFBP1 as a therapeutic nexus connecting m6A-driven NSCLC progression and the anti-tumor effects of Pueraria. Our RNA-modification-guided pharmacology approach advances the integration of traditional medicines into precision oncology.
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