Differentially expressed genes ASPN, COL1A1, FN1, VCAN and MUC5AC are potential prognostic biomarkers for gastric cancer
Differentially expressed genes ASPN, COL1A1, FN1, VCAN and MUC5AC are potential prognostic biomarkers for gastric cancer
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差异表达基因 ASPN、COL1A1、FN1、VCAN 和 MUC5AC 是胃癌潜在的预后生物标志物
DOI：
10.3892/ol.2019.9952
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发表时间：
2019-03-01
期刊：
影响因子：
2.9
通讯作者：
Xiao, Qiang
中科院分区：
文献类型：
--
作者：
Jiang, Kaiyuan;Liu, Hongmei;Xiao, Qiang
胃癌是世界范围内最常见的恶性肿瘤之一。就我们所知，还没有生物标志物被广泛接受用于GC的早期诊断和预后预测。本研究旨在寻找潜在的预测胃癌预后的生物标志物。本研究使用的数据集为GSE29272，来源于公共数据库Gene Expression Omnibus。使用在线工具GEO2R计算GSE29272中肿瘤组织和邻近组织之间的差异表达基因(Degs)。利用Cytoscape软件中的CytoHubba和MCODE插件获得degs的HUB基因和模块。使用在线注释、可视化工具数据库和相互作用基因检索的综合发现和搜索工具进行基因本体论(GO)浓缩分析和京都百科全书基因和基因组途径分析，并构建蛋白质-蛋白质相互作用网络。从GSE29272中共提取了117个DEGS。此外，在117个序列中还鉴定了15个HUB基因和7个模块。富集分析表明，它们主要在GO的生物学过程和细胞成分结构域，以及“ECM-受体相互作用”、“焦点黏附”、“细胞色素P450代谢外源物质”和“药物代谢”途径中得到丰富。HUB基因asporin(AsPn)、I型胶原α1链(COL1A1)、纤维连接蛋白1(Fn1)、Verscan(Vcan)和粘蛋白5AC(MUC5AC)对GC患者有预后价值。ASPN和VCAN基因与总生存期和无瘤生存期显著相关(对数等级P值分别为0.025、0.038、0.0014和0.015)。COL1A1和FN1与总生存率显著相关(对数等级P=0.013和0.05)，而MUC5AC与无病生存率显著相关(对数等级P=0.027)。本研究结果提示，ASPN、COL1A1、FN1、VCAN和MUC5AC可能是预测胃癌预后的新的生物标志物。
Gastric cancer (GC) is one of the most common malignancies worldwide. To the best of our knowledge, no biomarkers have been widely accepted for the early diagnosis and prognostic prediction of GC. This study aimed to identify potential novel prognostic biomarkers for GC. The dataset GSE29272, which originates from the public database Gene Expression Omnibus, was employed in the present study. The online tool GEO2R was used to calculate the differentially expressed genes (DEGs) in GSE29272 between tumour tissues and adjacent tissues. CytoHubba and MCODE plugins of Cytoscape software were used to obtain hub genes and modules of DEGs. The online tools Database for Annotation, Visualisation and Integrated Discovery and Search Tool for the Retrieval of Interacting Genes were employed to conduct Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes pathway analysis, and to construct protein-protein interaction networks. A total of 117 DEGs were extracted from GSE29272. In addition, 15 hub genes and seven modules were identified in the 117 DEGs. The enrichment analysis revealed that they were mainly enriched in GO biological process and cellular component domains, and the ‘ECM-receptor interaction’, ‘focal adhesion’, ‘metabolism of xenobiotics by cytochrome P450’ and ‘drug metabolism’ pathways. The hub genes asporin (ASPN), collagen type I α1 chain (COL1A1), fibronectin 1 (FN1), versican (VCAN) and mucin 5AC (MUC5AC) were demonstrated to have prognostic value for patients with GC. The ASPN and VCAN genes were significantly associated with overall survival and disease-free survival (log-rank P=0.025, 0.038, 0.0014 and 0.015, respectively). COL1A1 and FN1 were significantly associated with overall survival (log-rank P=0.013 and 0.05, respectively), and MUC5AC was significantly associated with disease-free survival (log-rank P=0.027). Results from the present study suggested that ASPN, COL1A1, FN1, VCAN and MUC5AC may represent novel prognostic biomarkers for GC.