RETRACTED: Network Pharmacology, Molecular Docking, and Experimental Validation to Unveil the Molecular Targets and Mechanisms of Compound Fuling Granule to Treat Ovarian Cancer (Retracted Article)

被引:5
|
作者
Li, Zhaoyi [1 ]
Liu, Qingling [2 ]
Zhu, Ying [3 ]
Wu, Lichao [2 ]
Liu, Wenhong [2 ]
Li, Junfeng [2 ]
Zhang, Zhiqian [4 ]
Tao, Fangfang [2 ]
机构
[1] Zhejiang Chinese Med Univ, Affiliated Hosp 1, Dept Dermatol, Hangzhou 310053, Peoples R China
[2] Zhejiang Chinese Med Univ, Sch Basic Med Sci, Dept Immunol & Microbiol, Hangzhou 310053, Peoples R China
[3] Zhejiang Chinese Med Univ, Affiliated Hosp 1, Dept Med Oncol, Hangzhou 310053, Peoples R China
[4] Nankai Univ, State Key Lab Med Chem Biol, Tianjin 300071, Peoples R China
基金
中国国家自然科学基金;
关键词
PROGRESSION; INHIBITION; BAICALIN; CELLS;
D O I
10.1155/2022/2896049
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Background. Compound fuling granule (CFG) is a traditional Chinese medicine formula that is used for more than twenty years to treat ovarian cancer (OC) in China. However, the underlying processes have yet to be completely understood. This research is aimed at uncovering its molecular mechanism and identifying possible therapeutic targets. Methods. Significant genes were collected from Therapeutic Target Database and Database of Gene-Disease Associations. The components of CFG were analyzed by LC-MS/MS, and the active components of CFG were screened according to their oral bioavailability and drug-likeness index. The validated targets were extracted from PharmMapper and PubChem databases. Venn diagram and STRING website diagrams were used to identify intersection targets, and a protein-protein interaction network was prepared using STRING. The ingredient-target network was established using Cytoscape. Molecular docking was performed to visualize the molecule-protein interactions using PyMOL 2.3. Enrichment and pathway analyses were performed using FunRich software and Reactome pathway, respectively. Experimental validations, including CCK-8 assay, wound-scratch assay, flow cytometry, western blot assay, histopathological examination, and immunohistochemistry, were conducted to verify the effects of CFG on OC cells. Results. A total of 56 bioactive ingredients of CFG and 185 CFG-OC-related targets were screened by network pharmacology analysis. The potential therapeutic targets included moesin, glutathione S-transferase kappa 1, ribonuclease III (DICER1), mucin1 (MUC1), cyclin-dependent kinase 2 (CDK2), E1A binding protein p300, and transcription activator BRG1. Reactome analysis showed 51 signaling pathways (P < 0.05), and FunRich revealed 44 signaling pathways that might play an important role in CFG against OC. Molecular docking of CDK2 and five active compounds (baicalin, ignavine, lactiflorin, neokadsuranic acid B, and deoxyaconitine) showed that baicalin had the highest affinity to CDK2. Experimental approaches confirmed that CFG could apparently inhibit OC cell proliferation and migration in vitro; increase apoptosis; decrease the protein expression of MUC1, DICER1, and CDK2; and suppress the progression and distant metastasis of OC in vivo. DICER1, a tumor suppressor, is essential for microRNA synthesis. Our findings suggest that CFG may impair the production of miRNAs in OC cells. Conclusion. Based on network pharmacology, molecular docking, and experimental validation, the potential mechanism underlying the function of CFG in OC was explored, which supplies the theoretical groundwork for additional pharmacological investigation.
引用
收藏
页数:24
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