Yao N H, Chen Z M, Shi Y, Yan X D, Lyu L T, Liu J, Xuan T T, Qian J, Zhao H Y
Department of Radiation Oncology, Affiliated Hospital of Nantong University, Nantong 226001, China.
Department of Chemotherapy, Affiliated Hospital of Nantong University, Nantong 226001, China.
Zhonghua Zhong Liu Za Zhi. 2021 Mar 23;43(3):306-311. doi: 10.3760/cma.j.cn112152-20200109-00014.
To identify new prognostic markers and therapeutic targets for gastric adenocarcinoma. The public datasets of gastric adenocarcinoma collected from GEO database (GSE33335 and GSE63089) were downloaded for analysis. There were 70 GC tissues and paired normal tissues in the two profile datasets. Differentially expressed genes (DEGs) between GC tissues and normal stomach tissues were selected by the R software. Protein-protein interaction (PPI) of these DEGs were visualized by the Search Tool for the Retrieval of Interacting Genes (STRING). The key gene sets were analyzed by Cytoscape and Molecular Complex Detection (MCODE). The mRNA and protein expression levels of prognosis related genes identified by public database were confirmed by using GC tissues and paired normal tissues collected from July 2019 to September 2019 in Affiliated Hospital of Nantong University. DEGs were identified in the two datasets by using R software. A total of 128 DEGs were detected, including 85 up-regulated genes ((2)>1.2 and <0.01) and 43 down-regulated genes ((2)<-1.2 and <0.01) in the GC tissues. PPI network model and MCODE model were established by using the Online String tool and Cytoscape software, and 27 key genes were obtained, including 25 genes related with prognosis of GC patients (<0.05). We identified 14 significant DEGs in GC tissues, including cyclin B1 (CCNB1), polo-like kinase 1 (PLK1) and pituitary-tumor transforming gene (PTTG1), which were significantly enriched in the cell cycle pathway through KEGG pathway enrichment analysis. The positive expression rate of PTTG1 in GC tissues was 68.8% (22/32), significantly higher than 18.8% (6/32) in normal gastric tissues (<0.05). The expression of PTTG1 is different in GC and gastric tissues, implicates it is the key gene in gastric carcinogenesis. The prognoses of GC patients with higher PTTG1 expression are worse. PTTG1 might participate in the development of gastric adenocarcinoma by regulating cell cycle.
为了鉴定胃腺癌新的预后标志物和治疗靶点。从基因表达综合数据库（GEO数据库，GSE33335和GSE63089）收集的胃腺癌公共数据集被下载用于分析。这两个概况数据集中有70例胃癌组织和配对的正常组织。通过R软件选择胃癌组织和正常胃组织之间的差异表达基因（DEGs）。这些DEGs的蛋白质-蛋白质相互作用（PPI）通过检索相互作用基因的搜索工具（STRING）进行可视化。关键基因集通过Cytoscape和分子复合物检测（MCODE）进行分析。通过使用南通大学附属医院2019年7月至2019年9月收集的胃癌组织和配对的正常组织，对公共数据库鉴定出的预后相关基因的mRNA和蛋白质表达水平进行了验证。使用R软件在两个数据集中鉴定出DEGs。共检测到128个DEGs，其中胃癌组织中有85个上调基因（(2)>1.2且<0.01）和43个下调基因（(2)<-1.2且<0.01）。通过在线String工具和Cytoscape软件建立了PPI网络模型和MCODE模型，获得了27个关键基因，其中包括25个与胃癌患者预后相关的基因（<0.05）。我们在胃癌组织中鉴定出14个显著的DEGs，包括细胞周期蛋白B1（CCNB1）、波罗样激酶1（PLK1）和垂体肿瘤转化基因（PTTG1），通过KEGG通路富集分析发现它们在细胞周期通路中显著富集。PTTG1在胃癌组织中的阳性表达率为68.8%（22/32），显著高于正常胃组织中的18.8%（6/32）（<0.05）。PTTG1在胃癌组织和胃组织中的表达不同，表明它是胃癌发生中的关键基因。PTTG1表达较高的胃癌患者预后较差。PTTG1可能通过调节细胞周期参与胃腺癌的发生发展。
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