基于生物信息学筛选胃癌预后生物标志物

Screening of prognostic biomarkers for gastric cancer based on bioinformatics

目的利用生物信息学技术筛选胃癌临床预后相关生物学标志物。方法在TCGA数据库下载胃癌的临床资料和m RNA的表达数据,利用R软件和Bioconductor软件筛选差异基因,利用GO分析和KEGG富集分析差异基因,以及蛋白互作网络分析进一步确定核心差异基因,并分析上述核心差异基因在胃癌患者中的生存分析以及在临床分期中的表达差异。采用火山图和热图进一步确定相关基因对转录组的影响程度。结果COL1A1和COMP基因低表达的胃癌患者生存预后明显好于高表达组。在基于胃癌分期的亚组分析中,虽然COL1A1和COMP的转录水平在Ⅰ期和Ⅱ期内表达差异不明显,但是Ⅲ期和Ⅳ期胃癌患者中COL1A1和COMP的转录水平高于健康人群。此外,火山图与热图提示与COL1A1和COMP基因正相关的主要富集在细胞聚集功能方面。结论本研究揭示了COL1A1和COMP在胃癌中的表达差异和潜在的调控网络,为进一步研究COL1A1和COMP在癌变过程中的作用奠定了基础。肿瘤患者中的COL1A1和COMP的表达差异有望作为胃癌潜在的预后指标。

Objective To screen biomarkers for the clinical diagnosis and prognosis of gastric cancer.Methods Download the clinical information and mRNA expression data of gastirc cancer from the TCGA database and screen differentially expressed genes by R software and Bioconductor sofware.Using GO analysis,KEGG enrichment analysis and protein interaction network analysis to further determine the core differential genes.Analyze the survival analysis of core genes in gastric cancer and their role in survival time and clinical staging.Volcano map and heat map further determine the degree of COL1A1,COMP?s influence on the transcriptome.Results It is found that the suivival prognosis of gastic cancer patients with low expression of COL1A1 and COMP gene was significantly better than that of the high expression group.In a subgroup analysis based on the staging of gastric cancer,although the transcript levels of COL1A1 and COMP were not significantly different in stages 1 and 2,the transcript levels of COL1A1 in stage 3 and 4 GC patients were higher than that in healthy people.Furthermore,the main enrichment of volcano plots and heat map suggested positive association with COL1A1 and COMP genes is in terms of cell aggregation function.Conclusion This research reveals that the expression and potential regulatory network of COL1A1 and COMP in gastric cancer lays the foundation for further research on the role of COL1A1 and COMP in the process of carcinogenesis.The expression of COL1A1,COMP is expected to be a potential diagnostic index for gastric cancer.