基于数据库分析ASF1B在胃癌中的表达与预后的关系

Analysis of the relationship between the expression of ASF1B gene and prognosis in gastric cancer based on database

[目的]研究ASF1B基因在胃癌中的表达水平,进而分析ASF1B基因表达水平与预后的关系。[方法]从TCGA(the cancer genome atlas)数据库和GEO(Gene ExPession Omnibus)数据库中下载胃癌的RNA-seq和临床数据;分析TCGA数据库中ASF1B在胃癌组织与癌旁组织的差异表达;采用KaPlan-Meier方法分析GEO数据库和TCGA数据库中ASF1B表达量与患者总生存期的关系,并采用COX回归分析基因表达和其他临床相关因素与预后的关系;应用GSEA软件分析ASF1B在胃癌中的作用通路;绘制预后相关列线图并计算C-指数。[结果]胃癌组织中ASF1B的表达量显著高于癌旁组织;K-M生存分析显示ASF1B低表达的总生存率较差,多因素COX分析表明ASF1B为患者总体生存率的独立预后因素,验证集显示相似的结果,绘制列线图预测胃癌患者1 a、2 a、3 a的生存率并验证C指数表明模型准确度良好;ASF1B高表达主要在细胞周期、同源重组、错配修复、碱基切除修复等通路存在富集,ASF1B低表达主要在ECM受体相互作用和Hedgehog信号通路上富集。[结论]ASF1B低表达水平可作为胃癌患者预后不佳的独立因素,评估ASF1B的表达可能有助于预测患者预后。

[Objective]To study the expression level of ASF1 B gene in gastric cancer,and then analyze the relationship between ASF1 B gene expression level and prognosis.[Methods]RNA-seq and clinical data of gastric cancer were downloaded from TCGA(the cancer genome atlas) database and GEO(Gene ExPession Omnibus) database for analysis;the differential expression of ASF1 B in gastric cancer tissues and paracancerous tissues in TCGA database was analyzed.KaPlan-Meier method was used to analyze the relationship between ASF1 B expression and overall survival of patients in GEO database and TCGA database,and COX regression was used to analyze the relationship between gene expression and other clinically relevant factors and prognosis;GSEA was used to analyze the pathway of ASF1 B in gastric cancer;prognosis-related column line graphs were drawn and C-index was calculated.[Results]ASF1 B expression was significantly higher in gastric cancer tissues than in paracancerous tissues;KM survival analysis showed poor overall survival with low ASF1 B expression,multi-factor-COX analysis showed ASF1 B as an independent prognostic factor for the overall survival patient,validation set showed similar results,plotting column line graphs to predict survival of gastric cancer patients at 1,2 and 3 years and validating the C-index showed that the model good accuracy;the high ASF1 B expression was mainly enriched in base excision repair,cell cycle,homologous recombination,mismatch repair,and base excision repair pathways,and the low ASF1 B expression was mainly enriched in ECM receptor interaction and Hedgehog signaling pathways.[Conclusion] The low ASF1 B expression level could be an independent factor affecting poor prognosis of gastric cancer patients,and assessment of ASF1 B expression may help to predict patient prognosis.