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目的:通过分析肝细胞癌(HCC)基因表达谱改变来探讨HCC发病机制。方法:从GEO数据库中下载HCC基因表达数据GSE14215和GSE29217,采用Genespring 11.0软件分析差异表达基因,运用统合分析(meta-analysis)方法确定共同差异表达基因,利用DAVID、KEGG、String和FABLE等生物信息学软件确定相关的生物学过程、分子功能、相互作用通路等。结果:HCC组织与正常肝组织相比,共同下调、上调的差异表达基因分别是281和227个,其中作为转录因子36个;与文献报道的HCC相关基因一致的有181个。差异表达基因主要与细胞周期调控、代谢调节、药物代谢酶系、DNA的损伤复制、p53和过氧化物酶体增殖物激活受体信号通路(PPAR)等信号通路有关。结论:HCC基因表达谱数据分析表明,细胞周期紊乱主要发生在S、M期;转录因子FOXM1/HNF3高表达与HCC的细胞周期紊乱密切相关。
OBJECTIVE: To investigate the pathogenesis of HCC by analyzing the gene expression profile of hepatocellular carcinoma (HCC). METHODS: HCC gene expression data GSE14215 and GSE29217 were downloaded from GEO database. Genespring 11.0 software was used to analyze the differentially expressed genes. Meta-analysis was used to identify the genes that were differentially expressed. Using the bioinformatics tools such as DAVID, KEGG, String and FABLE, Learning software identifies relevant biological processes, molecular functions, interaction pathways and more. Results: Compared with normal liver tissues, HCC tissues down-regulated and up-regulated were 281 and 227, respectively, of which 36 were transcription factors. There were 181 HCC-related genes reported in the literature. Differentially expressed genes are mainly associated with cell cycle regulation, metabolic regulation, drug metabolism enzymes, DNA damage replication, and p53 and peroxisome proliferator activated receptor (PPAR) signaling pathways. Conclusion: HCC gene expression profiling data show that cell cycle disorders mainly occur in S and M phases. The high expression of FOXM1 / HNF3 is closely related to the cell cycle disorder in HCC.