ArticleDrug design, development and therapy2024
Identification of Potential Therapeutics for Infantile Hemangioma via in silico Investigation and in vitro Validation.
Article in Drug design, development and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Therapies for Infantile Haemangiomas: Current Practice and Evolving Perspectives.Dermatology and therapy · 2026Review
- Targeted Therapies in Infantile Hemangiomas and Vascular Malformations: From β-Blockers to PI3K/AKT/mTOR Inhibitors.Journal of cellular and molecular medicine · 2026Review
- Vulvar Hemangioma: A Review.Diagnostics (Basel, Switzerland) · 2025Review
- Topical propranolol for infantile hemangioma: a comprehensive review of mechanisms, clinical efficacy, and novel formulations.Frontiers in pediatrics · 2025Review
- Machine learning identifies immune-perinatal predictors of infantile hemangioma.Frontiers in pediatrics · 2025Article
- Propranolol (1 mg/kg/day) with intralesional bleomycin versus propranolol monotherapy for infantile hemangioma: a randomized controlled trial.Frontiers in pharmacology · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Infantile Hemangioma (IH) is a prevalent benign vascular tumor affecting approximately 5-10% of infants. Its underlying pathogenesis remains enigmatic, and current therapeutic approaches show limited effectiveness. Our study aimed to discover potential IH-associated therapeutics through a transcriptomic, computational drug repurposing methodology. Methods: Utilizing the IH-specific dataset GSE127487 from the Gene Expression Omnibus, we identified differentially expressed genes (DEGs) and conducted weighted gene coexpression network analysis (WGCNA). Subsequently, a protein-protein interaction (PPI) network was constructed to obtain the top 100 hub genes. Drug candidates were sourced from the Connectivity Map (CMap) and Comparative Toxicogenomics Database (CTD). Results: Our analysis revealed 1203 DEGs and a significant module of 1780 mRNAs strongly correlated with IH. These genes were primarily enriched in the Conclusion: Our investigation revealed that the pathogenic mechanism underlying IH might be closely associated with the
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