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基于GEO数据库基因表达数据探索影响卵巢癌患者预后及临床分期的基因 被引量:1

Exploration on genes affecting the prognosis and clinical stage of patients with ovarian cancer based on expression data of GEO database gene
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摘要 目的利用基因表达综合征(gene expressed omnibus,GEO)公共数据库筛选与卵巢癌分期相关的基因,并分析其临床意义。方法从GEO数据库的数据集GSE9891中筛选与临床分期相关差异基因,通过DAVID数据库对差异基因进行基因本体论(gene ontology,GO)和基因组百科全书(Kyoto encyclopedia of genes and genomes,KEGG)富集分析。并且通过肿瘤基因组图谱(the cancer genome atlas,TCGA)对差异基因进行验证。结果分析数据集GSE9891得到23个与临床分期相关差异基因;GO富集分析发现有效靶基因参与胶原组织和细胞外基质合成;KEGG通路富集分析发现主要通过类固醇合成信号通路影响卵巢癌进展过程。临床分期相关差异基因在TCGA数据库中验证得到LUM、COL11A1、IGF1、TIMP3、COL10A1、FAP、COL8A1、EPYC、SFRP2、FABP4与临床分期相关(P<0.05,|log2FC|>1.5),其中COL8A1、COL11A1、COL10A1、FABP4和SFRP2等五个基因与卵巢癌的预后相关(P<0.05)。结论COL8A1、COL11A1、COL10A1、FABP4和SFRP2可能是影响卵巢癌进展的生物标志物。 Objective To screen genes related to ovarian cancer stage by gene expressed omnibus(GEO)public database,and to analyze their clinical significance.Methods Differential genes related to clinical stage were screened from the data set(GSE9891)of the GEO database.Enrichment analysis of differential genes were performed by gene ontology(GO)and Kyoto encyclopedia of genes and genomes(KEGG)through DAVID database.In addition,the differential genes were verified by the cancer genome atlas(TCGA).Results By analyzing the data set GSE9891,23 differential genes related to clinical stage were obtained,GO enrichment analysis found that effective target genes were involved in collagen tissue and extracellular matrix synthesis,and KEGG pathway enrichment analysis was found to influence ovarian cancer progression mainly through the steroid synthesis signaling pathway.The differential genes related to clinical stage were verified in TCGA database that LUM,COL11A1,IGF1,TIMP3,COL10A1,FAP,COL8A1,EPYC,SFRP2 and FABP4 were related to clinical stage(P<0.05,|log2FC|>1.5),and five genes including COL8A1,COL11A1,COL10A1,FABP4 and SFRP2 were related to the prognosis of ovarian cancer(P<0.05).Conclusion COL8A1,COL11A1,COL10A1,FABP4 and SFRP2 genes may be biomarkers affecting the progression of ovarian cancer.
作者 侯娟 蒋树立 滕长财 HOU Juan;JIANG Shuli;TENG Changcai(Department of Clinical Laboratory,Affiliated Hospital of Binzhou Medical University,Binzhou 256603,Shandong,China)
出处 《右江医学》 2022年第3期176-180,共5页 Chinese Youjiang Medical Journal
基金 滨州医学院科技计划项目(BY2017KJ02)。
关键词 卵巢癌 临床分期 基因本体论 通路富集分析 预后 ovarian cancer clinical stage gene ontology pathway enrichment analysis prognosis
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