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基于数据库挖掘分析FN1、COL4A1、COL4A2基因在胃癌中的表达及意义

雷昕奕 宋丹军 戴丐国 张云利 杨立涛

雷昕奕, 宋丹军, 戴丐国, 张云利, 杨立涛. 基于数据库挖掘分析FN1、COL4A1、COL4A2基因在胃癌中的表达及意义[J]. 中华全科医学, 2023, 21(11): 1967-1971. doi: 10.16766/j.cnki.issn.1674-4152.003269
引用本文: 雷昕奕, 宋丹军, 戴丐国, 张云利, 杨立涛. 基于数据库挖掘分析FN1、COL4A1、COL4A2基因在胃癌中的表达及意义[J]. 中华全科医学, 2023, 21(11): 1967-1971. doi: 10.16766/j.cnki.issn.1674-4152.003269
LEI Xinyi, SONG Danjun, DAI Gaiguo, ZHANG Yunli, YANG Litao. Analysis of FN1, COL4A1, COL4A2 genes expression and significance in gastric cancer based on database mining[J]. Chinese Journal of General Practice, 2023, 21(11): 1967-1971. doi: 10.16766/j.cnki.issn.1674-4152.003269
Citation: LEI Xinyi, SONG Danjun, DAI Gaiguo, ZHANG Yunli, YANG Litao. Analysis of FN1, COL4A1, COL4A2 genes expression and significance in gastric cancer based on database mining[J]. Chinese Journal of General Practice, 2023, 21(11): 1967-1971. doi: 10.16766/j.cnki.issn.1674-4152.003269

基于数据库挖掘分析FN1、COL4A1、COL4A2基因在胃癌中的表达及意义

doi: 10.16766/j.cnki.issn.1674-4152.003269
基金项目: 

浙江省卫生健康科技项目 2021KY594

白求恩·胃肠间质瘤精准治疗专项研究基金项目 WCJZL202111

详细信息
    通讯作者:

    杨立涛, E-mail: yanglt@zjcc.org.cn

  • 中图分类号: R735.2R730.45

Analysis of FN1, COL4A1, COL4A2 genes expression and significance in gastric cancer based on database mining

  • 摘要:   目的  基于数据库挖掘分析胃癌预后预测和胃癌靶向治疗的潜在关键基因(Hub基因)。  方法  本研究选取基因表达综合数据库(GEO)的GSE33651和GSE118916数据集(研究时间为2011年11月—2019年8月)。GEO2R进行胃癌差异表达基因(DEGs)分析。DAVID数据库对DEGs进行基因本体(GO)和京都基因与基因组百科全书(KEGG)富集分析。采用STRING数据库和Cytoscape软件构建DEGs的蛋白质-蛋白质相互作用(PPI)网络,其中Degree>10的DEGs被认为是Hub基因。基于癌症基因组图谱(TCGA)的胃腺癌数据,使用OncoLnc和UALCAN数据库对Hub基因进行生存分析和表达分析。TIMER数据库对Hub基因进行免疫浸润分析。  结果  GSE33651和GSE118916中鉴定出80个共有上调和34个共有下调DEGs。DEGs富集在69个GO条目和7个KEGG信号通路。从PPI网络中筛选出14个Hub基因。FN1、COL4A2和COL4A1基因在胃癌组织的表达水平均显著高于胃正常组织,且在胃癌中具有良好的预后预测价值。FN1、COL4A2和COL4A1与免疫浸润密切相关,提示其可能参与胃癌的免疫反应。  结论  FN1、COL4A2、COL4A1是胃癌的Hub基因,可能是潜在的胃癌预后生物学标志物和治疗靶点。

     

  • 图  1  GSE33651和GSE118916差异表达基因韦恩图

    Figure  1.  Venn diagram of differentially expressed genes in GSE33651 and GSE118916

    图  2  差异表达基因的GO和KEGG富集分析

    注:A为差异表达基因的PPI网络;B为PPI网络的重要模块。

    Figure  2.  GO and KEGG enrichment analyses of differentially expressed genes

    图  3  差异表达基因的蛋白质-蛋白质相互作用网络

    注:A、B、C分别为FN1、COL4A2和COL4A1的表达水平对胃癌患者生存预后的影响。High为高于中位数表达水平;Low为低于中位数表达水平。

    Figure  3.  Protein-protein interaction networks of differentially expressed genes

    图  4  胃癌Hub基因的生存分析

    Figure  4.  Survival analyses of hub genes in stomach cancer

    图  5  胃癌Hub基因的表达分析

    Figure  5.  Expression analyses of hub genes in stomach cancer

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出版历程
  • 收稿日期:  2022-09-07
  • 网络出版日期:  2024-01-13

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