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作 者:李璐
出 处:《中国肿瘤》2017年第8期634-641,共8页China Cancer
摘 要:[目的]探讨胃癌基因标志物的生物学功能,并建立胃癌肿瘤细胞初级调控网络模型。[方法 ]利用GO数据库和KEGG数据库,对胃癌相关的6个基因标志物MMP-7、KISS-1、VHL、p53、PTEN、MMP-9进行生物信息学分析。GO筛选条件分别是"biological process"、"Homo sapiens"、"gene",在KEGG中,organism的筛选条件为"hsa",key words为MMP-7、KISS-1、VHL、p53、PTEN、MMP-9。[结果 ]综合GO功能分析和KEGG分析结果 ,初步建立由MMP-7、KISS-1、VHL、p53、PTEN、MMP-9基因组成的胃癌肿瘤细胞调控网络模型。[结论 ]成功构建这些基因在胃癌肿瘤细胞中的初级调控网络模型,为进一步研究胃癌发病机制、胃癌肿瘤生物靶点的筛选及分子靶向治疗奠定基础。[Purpose] To establish a regulatory network model of gene markers in gastric cancer.[Methods] Gene Ontology(GO) and Kyoto Encyclopedia of Genes and Gnomes(KEGG) databases were used to conduct bioinformatics analysis on six markers related to gastric cancer including PTEN,KISS-1,VHL,p53,MMP-9 and MMP-7. Filter criteria of GO were "biological process","Homo sapiens"and "gene" respectively. Filter criteria of organism in KEGG was "has",and key words were MMP-7,KISS-1,VHL,p53,PTEN and MMP-9,respectively. [Results] Based on the results of GO and KEGG analysis,a preliminary regulatory network model of gastric cancer cells consisting of MMP-7,KISS-1,VHL,p53,PTEN and MMP-9 genes was established. [Conclusions] The successful establishment of a preliminary regulatory network model of gene markers may be useful for studies on pathogenesis,biological targets,and targeted molecular therapy of gastric cancer.
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