Exploring the Mechanism of Scutellaria baicalensis Georgi Efficacy against Oral Squamous Cell Carcinoma Based on Network Pharmacology and Molecular Docking Analysis

被引:9
作者
Hou, Fanfan [1 ]
Liu, Yang [1 ]
Cheng, YaHsin [2 ]
Zhang, Ni [1 ]
Yan, Wenpeng [1 ]
Zhang, Fang [1 ]
机构
[1] Shanxi Med Univ, Stomatol Hosp, Taiyuan 030001, Peoples R China
[2] China Med Univ, Sch Med, Dept Physiol, Taichung, Taiwan
关键词
THERAPEUTIC TARGET; CANCER; PROLIFERATION; INHIBITION; EXPRESSION; MIGRATION; WOGONIN; STRESS; MAPK; HERB;
D O I
10.1155/2021/5597586
中图分类号
R [医药、卫生];
学科分类号
10 ;
摘要
Background. Scutellaria baicalensis Georgi (SBG) has been widely shown to induce apoptosis and inhibit invasion and migration of various cancer cells. Increased evidence shows that SBG may be useful to treat oral squamous cell carcinoma (OSCC). However, the biological activity and possible mechanisms of SBG in the treatment of OSCC have not been fully elucidated. This study aimed to clarify the bioactive component and multitarget mechanisms of SBG against OSCC using network pharmacology and molecular docking. Methods. Traditional Chinese Medicine Systems Pharmacology (TCMSP) database was used to predict the active components in SBG, and putative molecular targets of SBG were identified using the Swiss Target Prediction database. OSCC-related targets were screened by GeneCards, Online Mendelian Inheritance in Man (OMIM), and Therapeutic Target Database (TTD). Then, we established protein-protein interaction (PPI), compound-target-disease (C-T-D), and compound-target-pathway (C-T-P) networks by Cytoscape to identify the main components, core targets, and pharmacological pathways of SBG against OSCC via applying data mining techniques and topological parameters. Metascape database was utilized for Gene Ontology (GO) and pathway enrichment analysis. The potential interaction of the main components with core targets was revealed by molecular docking simulation, and for the correlation between core targets and OSCC prognosis analysis, the Kaplan-Meier Plotter online database was used. Results. There were 25 active compounds in SBG and 86 genes targeted by OSCC. A total of 141 signaling pathways were identified, and it was found that the PI3K-Akt signaling pathway may occupy core status in the anti-OSCC system. GO analysis revealed that the primary biological processes were related to apoptosis, proliferation, and migration. Molecular docking results confirmed that core targets of OSCC had a high affinity with the main compounds of SBG. Conclusion. Our study demonstrated multicomponent, multitarget, and multipathway characteristics of SBG in the treatment of OSCC and provided a foundation for further drug development research.
引用
收藏
页数:15
相关论文
共 66 条
[1]   OMIM.org: Online Mendelian Inheritance in Man (OMIM®), an online catalog of human genes and genetic disorders [J].
Amberger, Joanna S. ;
Bocchini, Carol A. ;
Schiettecatte, Francois ;
Scott, Alan F. ;
Hamosh, Ada .
NUCLEIC ACIDS RESEARCH, 2015, 43 (D1) :D789-D798
[2]   Epidemiology of head and neck cancers: an update [J].
Auperin, Anne .
CURRENT OPINION IN ONCOLOGY, 2020, 32 (03) :178-186
[3]   Hypoxia reduces the E-cadherin expression and increases OSCC cell migration regardless of the E-cadherin methylation profile [J].
Batista Domingos, Patricia Luciana ;
Souza, Marcela Goncalves ;
Guimaraes, Talita Antunes ;
Santos, Eliane Sobrinho ;
Farias, Lucyana Conceicao ;
de Carvalho Fraga, Carlos Alberto ;
Jones, Kimberly Marie ;
Souza Santos, Sergio Henrique ;
Batista de Paula, Alfredo Mauricio ;
Sena Guimaraes, Andre Luiz .
PATHOLOGY RESEARCH AND PRACTICE, 2017, 213 (05) :496-501
[4]   Atorvastatin increases oxidative stress and inhibits cell migration of oral squamous cell carcinoma in vitro [J].
Biselli-Chicote, Patricia Matos ;
Lotierzo, Amanda Trabachini ;
Biselli, Joice Matos ;
Paravino, Erika Cristina ;
Goloni-Bertollo, Eny Maria .
ORAL ONCOLOGY, 2019, 90 :109-114
[5]  
Bray F, 2018, CA-CANCER J CLIN, V68, P394, DOI [10.3322/caac.21492, 10.3322/caac.21609]
[6]   RETRACTED: MiR-129 reduces CDDP resistance in gastric cancer cells by inhibiting MAPK3 (Retracted article. See vol. 24, pg. 11468, 2020) [J].
Cao, H-Y ;
Xiao, C-H ;
Lu, H-J ;
Yu, H-Z ;
Hong, H. ;
Guo, C-Y ;
Yuan, J-F .
EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES, 2019, 23 (15) :6478-6485
[7]   TTD: Therapeutic Target Database [J].
Chen, X ;
Ji, ZL ;
Chen, YZ .
NUCLEIC ACIDS RESEARCH, 2002, 30 (01) :412-415
[8]   TCGAbiolinks: an R/Bioconductor package for integrative analysis of TCGA data [J].
Colaprico, Antonio ;
Silva, Tiago C. ;
Olsen, Catharina ;
Garofano, Luciano ;
Cava, Claudia ;
Garolini, Davide ;
Sabedot, Thais S. ;
Malta, Tathiane M. ;
Pagnotta, Stefano M. ;
Castiglioni, Isabella ;
Ceccarelli, Michele ;
Bontempi, Gianluca ;
Noushmehr, Houtan .
NUCLEIC ACIDS RESEARCH, 2016, 44 (08) :e71
[9]   Swiss Target Prediction: updated data and new features for efficient prediction of protein targets of small molecules [J].
Daina, Antoine ;
Michielin, Olivier ;
Zoete, Vincent .
NUCLEIC ACIDS RESEARCH, 2019, 47 (W1) :W357-W364
[10]  
Di T, 2006, ONCOL REP, V15, P525