Zhang Tao, Guo Jianrong, Gu Jian, Chen Ke, Wang Zheng, Li Huili, Wang Guobin, Wang Jiliang
Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
Research Centre for Tissue Engineering and Regenerative Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
J Cancer. 2019 Jun 9;10(15):3501-3516. doi: 10.7150/jca.29490. eCollection 2019.
Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related deaths due to tumor invasiveness, frequent intrahepatic dissemination and extrahepatic metastasis. However, the genes and signaling pathways that are involved remain incompletely understood. In this study, weighted gene coexpression network analysis (WGCNA) was performed to jointly analyze clinical information and gene expression data to identify key genes associated with clinical features. Through the bioinformatic analysis, the yellow module and microvascular invasion (MVI) were found to be highly associated (r=0.41) by Pearson's correlation analysis, and 20 hub genes were identified with both high gene significance (GS) and high module membership (MM) in the yellow module. Among these genes, FoxM1 and KIAA0101 were upregulated in HCC with MVI and were significantly positively correlated in HCC samples, indicating a novel regulatory network in HCC microvascular invasion. Moreover, in vitro experiments demonstrated that KIAA0101 is a direct target of FoxM1 and that KIAA0101 is required for the FoxM1-induced promotion of HCC cell invasion and migration. In addition, the FoxM1-KIAA0101 axis promotes HCC metastasis by inducing epithelial-mesenchymal transition (EMT). In summary, KIAA0101 is a novel target of FoxM1 and contributes to HCC metastasis by activating EMT. The FoxM1-KIAA0101 axis might be applied as a potential prognostic biomarker and therapeutic target for HCC.
肝细胞癌(HCC)是癌症相关死亡的主要原因之一,因其具有肿瘤侵袭性、频繁的肝内播散和肝外转移。然而,其中涉及的基因和信号通路仍未完全明确。在本研究中,进行了加权基因共表达网络分析(WGCNA),以联合分析临床信息和基因表达数据,从而识别与临床特征相关的关键基因。通过生物信息学分析,经Pearson相关性分析发现黄色模块与微血管侵犯(MVI)高度相关(r = 0.41),并在黄色模块中鉴定出20个具有高基因显著性(GS)和高模块成员度(MM)的枢纽基因。在这些基因中,FoxM1和KIAA0101在伴有MVI的HCC中上调,且在HCC样本中显著正相关,表明在HCC微血管侵犯中存在一个新的调控网络。此外,体外实验表明KIAA0101是FoxM1的直接靶点,并且FoxM1诱导的HCC细胞侵袭和迁移需要KIAA0101。另外,FoxM1 - KIAA0101轴通过诱导上皮 - 间质转化(EMT)促进HCC转移。总之,KIAA0101是FoxM1的新靶点,并通过激活EMT促进HCC转移。FoxM1 - KIAA0101轴可能作为HCC潜在的预后生物标志物和治疗靶点。