ArticleBriefings in bioinformatics2024
Novel systems biology experimental pipeline reveals matairesinol's antimetastatic potential in prostate cancer: an integrated approach of network pharmacology, bioinformatics, and experimental validation.
Article in Briefings in bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
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- Computational identification of diagnostic biomarkers linking Dibutyl phthalate exposure to ovarian cancer through network toxicology and machine learning.Discover oncology · 2026Article
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- Natural products and dietary bioactives as antiviral agents against herpesviruses: molecular mechanisms, immunomodulatory actions, and nutritional perspectives.Archives of microbiology · 2026Review
- Targeting Integrin β3: novel antiplatelet lignans 6'-Hydroxyjusticidin B and Neojusticin A from Justicia procumbens unveiled via multi-omics and biophysical validation.Natural products and bioprospecting · 2026Article
- Integrative multi-omics analysis reveals gut-skin axis mechanisms and novel therapeutic targetmSystems · 2026Article
- Single-cell multiomics data analysis of potential receptors and therapeutic drugs for epilepsy patients comorbid with depression.PloS one · 2026Article
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- Interrogating ABCC1 and CASP1 as key players in epigallocatechin gallate's action against radiotherapy-resistant nasopharyngeal carcinoma.Scientific reports · 2025Article
- Molecular Mechanisms of Phytochemicals from Chaga Mushroom (International journal of molecular sciences · 2025Article
- Matairesinol Targets Lipid Metabolism Reprogramming in AR-Independent Prostate Cancer Cells.Asian Pacific journal of cancer prevention : APJCP · 2025Article
- Mesenchymal stem cell-derived exosomes improve vascular remodeling by inhibiting EGFR/ErbB2 heterodimerization in hypoxic pulmonary hypertension.Scientific reports · 2025Article
- Huaxian formula alleviates nickel oxide nanoparticle-induced pulmonary fibrosis via PI3K/AKT signaling.Scientific reports · 2025Article
- Network pharmacology, molecular docking, molecular dynamics simulation, and experiment verification analysis to reveal the action mechanism of RenShen Guipi Wan in the treatment of anemia.Biotechnology letters · 2025Article
- Exploring the association between osteoporosis and kidney stones: a clinical to mechanistic translational study based on big data and bioinformatics.Biology direct · 2025Article
- Integrating machine learning and single-cell sequencing to identify shared biomarkers in type 1 diabetes mellitus and clear cell renal cell carcinoma.Frontiers in oncology · 2025Article
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7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Matairesinol (MAT), a plant lignan renowned for its anticancer properties in hormone-sensitive cancers like breast and prostate cancers, presents a promising yet underexplored avenue in the treatment of metastatic prostate cancer (mPC). To elucidate its specific therapeutic targets and mechanisms, our study adopted an integrative approach, amalgamating network pharmacology (NP), bioinformatics, GeneMANIA-based functional association (GMFA), and experimental validation. By mining online databases, we identified 27 common targets of mPC and MAT, constructing a MAT-mPC protein-protein interaction network via STRING and pinpointing 11 hub targets such as EGFR, AKT1, ERBB2, MET, IGF1, CASP3, HSP90AA1, HIF1A, MMP2, HGF, and MMP9 with CytoHuba. Utilizing DAVID, Gene Ontology (GO) analysis highlighted metastasis-related processes such as epithelial-mesenchymal transition, positive regulation of cell migration, and key Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, including cancer, prostate cancer, PI3K-Akt, and MAPK signaling, while the web resources such as UALCAN and GEPIA2 affirmed the clinical significance of the top 11 hub targets in mPC patient survival analysis and gene expression patterns. Our innovative GMFA enrichment method further enriched network pharmacology findings. Molecular docking analyses demonstrated substantial interactions between MAT and 11 hub targets. Simulation studies confirmed the stable interactions of MAT with selected targets. Experimental validation in PC3 cells, employing quantitative real-time reverse-transcription PCR and various cell-based assays, corroborated MAT's antimetastatic effects on mPC. Thus, this exhaustive NP analysis, complemented by GMFA, molecular docking, molecular dynamics simulations, and experimental validations, underscores MAT's multifaceted role in targeting mPC through diverse therapeutic avenues. Nevertheless, comprehensive in vitro validation is imperative to solidify these findings.
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