自噬基因预测肝癌患者长期生存及通路分析

Autophagy Gene Predicts Long-term Survival and Pathway Analysis in Patients with Hepatocellular Carcinoma

目的探究自噬相关基因(autophagy-related genes,ARGs)对肝细胞癌(hepatocellular carcinoma,HCC)患者整体生存(overall survival,OS)的影响。方法收集TCGA数据库中377例肝细胞癌患者组织的全部转录组表达数据,利用GO及KEGG富集分析差异表达的自噬相关基因(DEARGs)涉及的信号通路。利用COX回归方法确立预后相关的ARGs,提出基于ARGs构建的预后指标。结果发现32个ARGs与HCC患者预后明显相关,其中FOXO1是患者的保护基因。经过多因素COX回归纳入14个ARGs构建风险模型,将患者分为低风险组和高风险组,高低风险组患者OS比较差异有统计学意义(P<0.001)。进一步多因素COX回归分析14个ARGs具有独立预后价值,1年、3年的受试者工作特征(ROC)曲线下面积分别为0.765、0.732。结论基于14个ARGs构建的模型,可用来预测HCC患者预后,同时也是潜在的治疗靶点。

Objective To investigate the effect of autophagy-related genes(ARGs)on the overall survival(OS)of patients with hepatocellular carcinoma(HCC).Methods We collected all transcriptome expression data of 377 hepatocellular carcinoma patients in the TCGA database,using GO and KEGG enrichment to analyze the signal pathways involved in differentially expressed autophagy-related genes(DEARGs).COX regression method was used to establish prognoses related ARGs,and a prognostic index based on ARGs was proposed.Results 32 ARGs were found to be significantly related to the prognosis of HCC patients,of which FOXO 1 was the protective gene.After Multivariate COX regression,14 ARGs were included to construct the risk model,and patients were divided into low-risk group and high-risk group.There was significant difference in OS between high-risk group and low-risk group(P<0.001).Further COX regression analysis showed that 14 ARGs had independent prognostic value.The area under the receiver operating characteristic(ROC)curve at 1-and 3-year was 0.765 and 0.732,respectively.Conclusion The model based on 14 ARGs could be used to predict the prognosis of HCC patients,and it was also a potential therapeutic target.