基于TCPA数据库分析肝癌蛋白表达及其临床意义  

Protein Expression and Clinical Significance of Liver Cancer Based on TCPA Database

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作  者:何东任 刘菁 HE Dong-ren;LIU Jing(Department of General Surgery,Hunan Maternal and Child Health Hospital,Changsha,Hunan 410000,China)

机构地区:[1]湖南省妇幼保健院普通外科,湖南长沙410000

出  处:《河北北方学院学报(自然科学版)》2025年第4期1-5,10,共6页Journal of Hebei North University:Natural Science Edition

摘  要:目的利用TCGA与TCPA数据库建立预测肝癌预后的蛋白预后模型,为肝癌治疗新靶点提供参考。方法应用R语言提取和处理TCGA与TCPA数据库中肝癌相关数据,筛选出肝癌样本及正常样本中差异表达蛋白,应用K-M及单因素Cox分析预后相关蛋白,构建风险模型,并进行风险模型独立预后分析。结果利用单因素Cox分析筛选出20个肝癌预后相关差异蛋白,其中10个上调表达,10个下调表达。以Akt、BRAF和P27_pT198构建肝癌预后风险多因素Cox模型,K-M生存分析表明,预后评分低风险的肝癌患者总体生存率明显升高,差异有统计学意义。结论本研究利用TCGA与TCPA数据库筛选出Akt、BRAF和P27_pT198进行共表达分析,筛选到54个共表达蛋白,这些肝癌预后相关蛋白可用于预测肝癌预后,利于指导临床治疗。Objective To establish a protein prognostic model for predicting the prognosis of liver cancer using TCGA database and TCPA database,in order to find new targets for the treatment of liver cancer.Methods The liver cancer related data in TCGA database and TCPA databasea were extracted and standardized by R language software to screen out the differentially expressed proteins in liver cancer samples and normal samples.K-M test and univariate Cox analysis were used to analyze the prognostic related proteins.A risk model was constructed,and the independent prognostic analysis of the risk model was performed.Results A total of 20 differentially expressed proteins related to the prognosis of liver cancer were screened by univariate COX test,of which 10 were up-regulated and 10 were down-regulated.Akt,BRAF and P27_pT198 were used to construct a multivariate Cox model for the prognosis risk of liver cancer.K-M survival analysis confirmed that in liver cancer patients,the overall survival rate of patients with low risk of prognosis score was significantly increased,and the difference was statistically significant.Conclusion The co-expression analysis of Akt,BRAF and P27_pT198 was performed,and 54 co-expressed proteins were screened in TCGA database and TCPA database.These prognostic protein models can be used to predict the prognosis of patients with liver cancer,which is beneficial to further guide clinical treatment.

关 键 词:肝癌 差异蛋白 预后模型 TCPA数据库 

分 类 号:R735.7[医药卫生—肿瘤] TP311.1[医药卫生—临床医学]

 

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