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目的：从系统层面探索基因和微小RNA（ microRNA，miRNA）的网络结构，结合生存分析技术，研究生存率相关分子的拓扑特性。方法利用肝细胞癌的基因和miRNA表达谱数据构建调控网络，并研究节点中患者的生存信息。结果对基因共表达网络节点的度进行全局计算发现，整个网络节点的度服从幂律分布，在一个网络中，度相对较高的节点称为“集线器（ Hub）”，与普通节点相比，这些Hub节点中与生存相关的基因更为富集。结论基因调控网络中的Hub节点，有望作为分子分型的潜在特征。“,”Objective To explore the network structure of genes and microRNA(miRNA) at the system level and to study topological characteristics of survival rate related molecules by means of survival analysis.Methods Regulatory networks were established with genes of hepatocellular carcinoma( HCC) and with the expression profiling data of miRNA. Survival knowledge in nodes was studied.Results All the nodes in gene co-expression networks conformed to power-law distribution.In a network, high-degree nodes were called “Hub”, which enriched more survival related genes than lower degree ones.Conclusion Hub nodes in gene regulatory networks promise to be potential features for molecular subtyping.