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논문 기본 정보

자료유형
학술저널
저자정보
Chen Lei (The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University Wenzhou) Fang Bo (College of Pharmacy Wenzhou Medical University Wenzhou Zhejiang China) Qiao Liman (The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University Wenzhou) Zheng Yihui (The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University Wenzhou)
저널정보
한국미생물생명공학회 Journal of Microbiology and Biotechnology Journal of Microbiology and Biotechnology 제32권 제6호
발행연도
2022.6
수록면
718 - 729 (12page)
DOI
10.4014/jmb.2203.03050

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Esophageal squamous cell carcinoma (ESCC) is the most common primary esophageal malignancy with poor prognosis. Here, due to the necessity for exploring potential therapies against ESCC, we obtained the gene expression data on ESCC from the TCGA and GEO databases. Venn diagram analysis was applied to identify common targets. The protein-protein interaction network was constructed by Cytoscape software, and the hub targets were extracted from the network via cytoHubba. The potential hub nodes as drug targets were found by pharmacophore-based virtual screening and molecular modeling, and the antitumor activity was evaluated through in vitro studies. A total of 364 differentially expressed genes (DEGs) in ESCC were identified. Pathway enrichment analyses suggested that most DEGs were mainly involved in the cell cycle. Three hub targets were retrieved, including CENPF, CCNA2 (cyclin A), and CCNB1 (cyclin B1), which were highly expressed in esophageal cancer and associated with prognosis. Moreover, amentoflavone, a promising drug candidate found by pharmacophore-based virtual screening, showed antiproliferative and proapoptotic effects and induced G1 in esophageal squamous carcinoma cells. Taken together, our findings suggested that amentoflavone could be a potential cell cycle inhibitor targeting cyclin B1, and is therefore expected to serve as a great therapeutic agent for treating esophageal squamous cell carcinoma.

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