已发表论文

通过计算机模拟和体外验证确定婴儿血管瘤的潜在治疗方法

 

Authors Lu W , Yang Z , Wang M, Zhang Y, Qi Z, Yang X 

Received 21 May 2024

Accepted for publication 26 August 2024

Published 12 September 2024 Volume 2024:18 Pages 4065—4088

DOI https://doi.org/10.2147/DDDT.S460575

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Prof. Dr. Tamer M. Ibrahim Abdelrehim

Wei Lu,* Zhenyu Yang,* Mengjie Wang, Ye Zhang, Zuoliang Qi, Xiaonan Yang

Department of Hemangioma and Vascular Malformation, Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100144, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Xiaonan Yang, Department of Hemangioma and Vascular Malformation, Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100144, People’s Republic of China, Email yxnan@aliyun.com

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 PI3K/AKT/MTOR, RAS/MAPK, and CGMP/PKG signaling pathway. After creating a PPI network of overlapping genes, we filtered out the top 100 hub genes. Ultimately, 44 non-toxic drugs were identified through the CMap and CTD databases. Twelve molecular-targeting agents (belinostat, chir 99021, dasatinib, entinostat, panobinostat, sirolimus, sorafenib, sunitinib, thalidomide, U 0126, vorinostat, and wortmannin) may be potential candidates for IH therapy. Moreover, in vitro experiments demonstrated that entinostat, sorafenib, dasatinib, and sirolimus restricted the proliferation and migration and initiated apoptosis in HemEC cells, thereby underscoring their potential therapeutic value.
Conclusion: Our investigation revealed that the pathogenic mechanism underlying IH might be closely associated with the PI3K/AKT/MTOR, RAS/MAPK, and CGMP/PKG signaling pathways. Furthermore, we identified twelve molecular-targeting agents among the predicted drugs that show promise as therapeutic candidates for IH.
Plain Language Summary: Transcriptomic analysis used to discover potential therapeutics for Infantile Hemangioma (IH).
Key IH-related pathways: PI3K/AKT/MTOR, RAS/MAPK, and CGMP/PKG signaling identified.
Identified 44 non-toxic drugs as potential IH therapies via CMap and CTD.
Twelve molecular agents show potential as IH therapy candidates.
In vitro studies confirmed entinostat, sorafenib, dasatinib, and sirolimus inhibit HemEC cell proliferation and induce apoptosis.

Keywords: infantile hemangioma, entinostat, sirolimus, hub gene, transcriptome, bioinformatics