ABCC2基因过表达对肺腺癌预后的影响  

Effect of ABCC2 overexpression on prognosis of lung adenocarcinoma

作　　者：方子晗 喻祖豪 刘颖 杨振 王可 FANG Zihan;YU Zuhao;LIU Ying;YANG Zhen;WANG Ke(Department of Preventive Medicine,Medical College,Hubei University of Arts and Science,Xiangyang 441053,China;Research Centre for Evidence-Based and Translational Medicine,Xiangyang Central Hospital,Affiliated Hospital of Hubei University of Arts and Science,Xiangyang 441053,China;Guangzhou First People’s Hospital,Guangzhou 510180,China)

机构地区：[1]湖北文理学院基础医学院预防医学教研室,襄阳441053 [2]湖北文理学院临床循证与转化医学中心,襄阳441053 [3]广州市第一人民医院,广州510180

出　　处：《广州医药》2022年第6期109-118,95,共10页Guangzhou Medical Journal

基　　金：湖北省教育厅科学技术研究计划青年人才项目(Q20212605);湖北省大学生创新训练项目(S2020105109031)。

摘　　要：目的 分析ABCC2基因表达水平与肺腺癌预后之间的关联性,并对其影响机制进行初步探索。方法 采用TCGA数据库和HPA数据库对肺腺癌病人癌组织和癌旁组织基因表达数据进行差异性分析,单因素及多因素COX回归评估ABCC2与肺腺癌预后之间的关联性,GSEA用于探讨与ABCC2显著关联的信号通路。结果 ABCC2在肺腺癌肿瘤组织中存在过表达现象,Kaplan-Meier生存分析曲线结果显示ABCC2基因过表达使肺腺癌病人的死亡风险显著升高(HR=1.46,95%CI=1.09~1.95;P=0.010)。单因素及多因素COX回归结果显示ABCC2基因过表达是肺腺癌病人不良预后的独立危险因素。GSEA结果显示ABCC2可能通过调节药物代谢从而对肺腺癌的发展进行调控。结论 ABCC2基因过表达使肺腺癌病人的死亡风险显著升高,ABCC2可能是肺腺癌不良预后的潜在分子生物标志物。Objective To estimate the association between ABCC2 mRNA expression and the prognosis of lung adenocarcinoma and explore the potential influencing mechanism.Methods Difference analysis was used to evaluate the gene expression in tumor tissues and adjacent normal tissues based on The Cancer Genome Atlas database and Human Protein Atlas database.Multivariate COX regression and Kaplan-Meier analysis were performed to evaluate the association between ABCC2 gene expression and the prognosis of lung adenocarcinoma.Gene-set enrichment analysis(GSEA) was performed to screen differentially enriched pathways associated with the ABCC2 high expression phenotype.Results ABCC2 was overexpressed in lung adenocarcinoma tumor tissues compared with adjacent normal tissues.Kaplan-Meier survival analysis showed a significant relationship between ABCC2 mRNA expression and lung adenocarcinoma prognosis(HR=1.16,95% CI=1.09-1.95;P=0.010).Univariate and multivariate Cox regression analysis showed that ABCC2 mRNA expression was an independent risk factor affecting the survival of patients with lung adenocarcinoma.The results of GSEA suggested that ABCC2 may influence the development of lung adenocarcinoma by regulating the metabolism of targeted drug the treatment.Conclusions ABCC2 overexpression can significantly increase the risk of death in patients with lung adenocarcinoma, ABCC2 may be a potential molecular marker for poor prognosis in lung adenocarcinoma.

关 键 词：ABCC2 肺腺癌 预后 TCGA数据库 GSEA 

分 类 号：R734.2[医药卫生—肿瘤]