组蛋白去乙酰化酶抑制剂影响肿瘤进程相关基因的生物信息学分析

Bioinformatic Analysis of Histone Deacetylase Inhibitors on Tumor Pathogenesis-Related Gene

肿瘤是一种威胁人类身体健康的常见病和多发病,很难治愈。目前,组蛋白去乙酰化酶抑制剂(HDACi)已经作为靶向治疗研究的新热点,恩替诺特(Entinostat)等HDACi已经开始应用于肿瘤治疗的临床试验阶段,但是其作用机制尚不明确。本试验通过Pubmed等数据库进行文献检索,利用DAVID进行GO分析以及Cytoscape等多种数据库进行数据处理、挖掘,得到HDACi肿瘤相关基因的调控网络及代谢路径。经过相关分析,得到的HDACi肿瘤关联基因的功能作用模块,这将为HDACi作用机制的预测和今后开拓HDACi肿瘤治疗的研究提供依据,同时也为寻找HDACi的辅助药物提供了指导。

Cancer is a common and frequently-occurring disease that threatens human health and is hard to cure. Currently, HDACi has become a new hot spot in targeted therapy research. Entinostat and some other HDACi have been used in clinical stages of cancer treatment, but their mechanism for cancer therapy is still not clear. In this study, we searched the literature through databases such as Pumed, did the GO analysis through DAVID, and used database such as Cytoscape for data processing and mining, from which we obtained the regulatory networks and metabolic pathways of HDACi-related tumor genes. After correlation analysis, we obtained the functional modules of HDACi-related tumor genes, which would provide a basis for predicting the mechanism of HDACi and exploring the research of HDACi oncotherapy, and meanwhile it would also provide the guidance for finding the ancillary drug of HDACi.