| 蒋正立,陈静,夏爱晓,戴丹平.基于网络药理学和生物信息学的长春新碱治疗乳腺癌分子机制研究[J].浙江中西医结合杂志,2022,32(10): |
| 基于网络药理学和生物信息学的长春新碱治疗乳腺癌分子机制研究 |
| Molecular mechanism of Vincristine in treatment of breast cancer based on network pharmacology and bioinformatics |
| 投稿时间：2021-09-29 修订日期：2022-09-13 |
| DOI： |
| 中文关键词: 长春新碱 乳腺癌 网络药理学 生物信息学 分子机制 |
| 英文关键词:Vincristine Breast cancer Network pharmacology Bioinformatics Molecular mechanism |
| 基金项目:浙江省台州市科技计划项目(编号1702KY08) |
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| 中文摘要: |
| 目的 基于网络药理学和生物信息学挖掘长春新碱作用靶点和信号通路，探讨长春新碱治疗乳腺癌的分子机制。方法 通过Drugbank、Swiss Target Prediction及STITCH数据库预测长春新碱作用靶点，从GEO基因芯片、CTD及OMIM等数据库挖掘与乳腺癌相关靶点，建立长春新碱治疗乳腺癌相关靶点PPI网络，利用Cytoscape3.7.1软件进行拓扑学分析，通过DAVID数据库对靶点进行GO功能和KEGG通路富集分析，采用分子对接技术对核心治疗靶点与长春新碱进行分子对接。结果 从数据库中得到124个长春新碱作用靶点，1003个乳腺癌靶点，得到26个长春新碱治疗乳腺癌潜在靶标，拓扑学分析得到关键节点10个，GO功能和KEGG通路富集结果得到140个显著条目和65条显著通路，分子对接技术显示长春新碱与3个核心治疗靶点具有较好的结合能力。结论 基于网络药理学和生物信息学方法，能有效筛选长春新碱治疗乳腺癌靶点，分析生物学功能和作用信号通路，为进一步探讨长春新碱治疗乳腺癌作用分子机制提供思路。 |
| 英文摘要: |
| Objective To investigate the molecular mechanism of vincristine in the treatment of breast cancer to explore the targets and signal pathway on the treatment of breast cancer based on network pharmacology and bioinformatics. Methods We predicted the target of vincristine through Drugbank,Swiss Target Prediction and Stitch database, excavated the related target of breast cancer by GEO gene chip, CTD and OMIM database, established the PPI network of vincristine treatment target of breast cancer,carried out the topology analysis by using the software of Cytoscape 3.7.1, analyzed GO function and the enrichment of KEGG pathway by David database.Molecular docking technology was used to dock the core therapeutic target with vincristine Results 124 vincristine targets and 1003 breast cancer targets were obtained from the database,26 potential targets of vincristine in the treatment of breast cancer were obtained,10 key nodes were obtained by topology analysis,140 significant entries and 65 significant pathways were obtained from GO function and the enrichment of KEGG pathway,molecular docking technology showed that the binding energy between vincristine and three core therapeutic targets had good binding ability.Conclusion We could effectively screen the targets of vincristine in the treatment of breast cancer and analyze the biological function and signal pathway of action based on the methods of network pharmacology and bioinformatics, and provide ideas for further exploring the molecular mechanism of vincristine in the treatment of breast cancer. |
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