中国药理学通报2024，Vol.40Issue(4)：756-764,9.DOI:10.12360/CPB202302029
基于TCGA数据挖掘及网络药理学探讨卤泛群治疗胶质母细胞瘤的潜在机制
The potential mechanism of halogenated pangroup treatment for glioblastoma based on TCGA data mining and network pharmacology
摘要
Abstract
Aim To explore the potential of the drug halofantrine for treating glioblastoma,utilizing the canc-er genome atlas(TCGA)genomic data and further il-lustrating its mechanism through network pharmacolo-gy.Methods Key genes associated with the develop-ment of glioblastoma were identified from the open cancer clinical database TCGA and the potential drugs for glioblastoma were searched via the CMAP database.Drug target information was collected from STITCH,Drugbank,BindingDB,Batmant-Tcm,TargetNet,Swiss Target,and PubChem.Visualization network diagrams of"Drug,active ingredient,and target"were then con-structed through Cytoscape,with the mechanism of ac-tion predicted by GO,KEGG,and molecular docking a-nalysis.The effects of halofantrine on glioblastoma cells and therapeutic targets were tested through CCK8 and qPCR.Results Halofantrine was identified as the potential drug for treating glioblastoma,with 150 targets,173 glioblastoma therapeutic targets,and 12 in-tersection targets.The three core targets were identi-fied:EGFR,MAPK14,and IGF1R.Molecular docking analysis showed that halofantrine had good binding po-tential to the core targets.Conclusions Halofantrine plays a role in the treatment of glioblastoma through its action on EGFR,MAPK14,and IGF1R core targets.关键词
TCGA数据库/网络药理学/胶质母细胞瘤/卤泛群/分子对接/作用机制Key words
TCGA database/network pharmacology/glioblastoma/halogen pangroup/molecular docking/mechanism of action分类
医药卫生引用本文复制引用
曹振,程路畅,秦祎雄,郭勇,韩标..基于TCGA数据挖掘及网络药理学探讨卤泛群治疗胶质母细胞瘤的潜在机制[J].中国药理学通报,2024,40(4):756-764,9.基金项目
国家自然科学基金资助项目(No 12202113) （No 12202113）
广西高校中青年教师科研基础能力提升项目(No 2020KY12011) （No 2020KY12011）
广西自然科学基金(No2019JJB140312) （No2019JJB140312）
广西硕士研究生创新项目(No YCSW2022368) （No YCSW2022368）
