Integrative omics and network pharmacology analysis of Glossocardia bosvallia L. phytocompounds for non-small cell lung carcinoma: Multi-target mechanism and molecular insights.
TL;DR
An integrative, network pharmacology approach was employed to elucidate the multi-target mechanism of action of phytochemicals derived from Glossocardia bosvallia against NSCLC, providing a robust strategy for identifying biologically relevant and therapeutically actionable targets supporting the potential of G. bosvallia-derived phytochemicals as promising candidates for NSCLC.
Abstract
Non-small cell lung cancer (NSCLC) remains a leading cause of cancer-related mortality worldwide, with limited therapeutic efficacy due to tumor heterogeneity in conventional treatments. In the present study, an integrative, network pharmacology approach was employed to elucidate the multi-target mechanism of action of phytochemicals derived from Glossocardia bosvallia against NSCLC. Among 38 phytocompounds identified, 31 compounds that satisfied pharmacokinetic properties were selected for subsequent analysis. Ligand-based target prediction identified 429 potential protein targets, which are integrated with the top 250 differentially expressed genes obtained from the GSE33532 dataset. Intersection analysis identified eight therapeutic targets: PTGES, SRD5A1, CDK1, KIF11, TOP2A, CDC45, MB, and CHEK1. Protein-protein interaction and enrichment analyses demonstrated that these targets are predominantly involved in cell cycle regulation, mitotic cell cycle, and DNA replication pathways. Gene expression analysis demonstrated significant overexpression of the prioritized targets in NSCLC tissues, while survival analysis identified CHEK1 as the gene significantly associated with survival (p < 0.05). Molecular docking identified TOP2A_quinic acid as the most favorable complex, exhibiting a binding affinity of -12.27 kcal/mol, KIF11_linoleic acid as -12.10 kcal/mol and CHEK1_2,3-dihydro-3,5-dihydroxy-6-methyl-4h-pyran-4-one as -6.75 kcal/mol, which was further validated by dynamic simulations, principal component analysis based free energy landscape, and DSSP analysis, confirming the stability of the protein. This integrative framework provides a robust strategy for identifying biologically relevant and therapeutically actionable targets supporting the potential of G. bosvallia-derived phytochemicals as promising candidates for NSCLC.