Differential network analysis depicts regulatory mechanisms for hepatocellular carcinoma from diverse backgrounds
Differential network analysis depicts regulatory mechanisms for hepatocellular carcinoma from diverse backgrounds
复制标题
差异网络分析描绘了不同背景的肝细胞癌的调控机制
DOI：
10.2217/fon-2019-0275
复制
发表时间：
2019-12-01
期刊：
影响因子：
3.3
通讯作者：
Xu, Yang
中科院分区：
文献类型：
--
作者：
Yu, Min-Cheng;Liu, Ji-Xiang;Xu, Yang
目的：从不同背景阐明肝细胞癌（HCC）分子致癌的整合组合基因调控网络图景。材料与方法：采用改良的基因调控网络分析法，对差异调控基因和环节进行优先排序。应用生物信息学方法进行综合比较，以确定不同背景HCC中潜在的关键分子和通路。结果：E2 F1及其周围的调控环节在HCC危险因素的失调机制中发挥着不同的关键作用。Hsa-mir-19 a在三个HCC差异调节网络中表现出不同的作用，在HBV相关HCC中表现出重要的调节作用。结论：我们详细描述了不同背景的肝癌中涉及的调控网络。E2 F1可作为HCC治疗的通用靶点。
Aim: To elucidate the integrative combinational gene regulatory network landscape of hepatocellular carcinoma (HCC) molecular carcinogenesis from diverse background. Materials & methods: Modified gene regulatory network analysis was used to prioritize differentially regulated genes and links. Integrative comparisons using bioinformatics methods were applied to identify potential critical molecules and pathways in HCC with different backgrounds. Results: E2F1 with its surrounding regulatory links were identified to play different key roles in the HCC risk factor dysregulationmechanisms. Hsa-mir-19a was identified as showed different effects in the three HCC differential regulation networks, and showed vital regulatory role in HBV-related HCC. Conclusion: We describe in detail the regulatory networks involved in HCC with different backgrounds. E2F1 may serve as a universal target for HCC treatment.