基于数据挖掘分析KEAP1基因在肺癌中的表达及意义  

Expression and Significance of KEAP1 Gene in Lung Cancer Based on Data Mining

作　　者：张馨文 王雨娜 赵贝 ZHANG Xin-wen;WANG Yu-na;ZHAO Bei(Basic Medical College of Dali University,Dali 671000,Yunnan,China;Department of Pathology,Dashiqiao Luhe Hospital,Yingkou 115199,Liaoning,China)

机构地区：[1]大理大学基础医学院,云南大理671000 [2]辽宁省大石桥陆合医院病理科,辽宁营口115199

出　　处：《医学信息》2024年第18期12-18,共7页Journal of Medical Information

基　　金：国家自然科学基金项目(编号:81760236)。

摘　　要：目的利用生物信息学技术对人胞质接头蛋白(KEAP1)进行分析,并汇总其在肺癌中的表达情况及意义,为后续肺癌相关治疗和预后提供有力的依据。方法利用GEO数据库挖掘KEAP1基因表达及染色体定位,利用Kaplan-Meier数据库分析肺癌中KEAP1表达与患者预后的关系,通过Linkedomics数据库和String数据库获取该基因在不同组织和疾病中的表达数据和蛋白相互作用网络,分析KEAP1与其他蛋白之间的关系,探索与其他基因的关联和调控网络。通过GEPIA2数据库进行KEAP1表达分析,比较KEAP1在正常肺组织和肺癌组织中的表达情况。结果KEPA1基因位于19号染色体上;该基因表达量与肺癌患者的预后生存分析有相关性(P<0.05);基因共分析显示,在肺癌中PTGER4、CD36、KRAS等基因与KEAP1基因表达呈负相关(P<0.05);KEAP1在肺癌中主要通过KEAP1-NFE2L2通路发挥作用;与正常肺组织相比,KEAP1基因突变后在肺癌组织中表达异常下降(P<0.05)。结论KEAP1突变与肺癌患者更短的生存期相关,该基因的降低与肺癌的发生和进展有关。在肺癌的驱动基因中,KEAP1在肺癌患者中属于突变风险较高的基因,有望成为肺癌预后评估和治疗的有效靶点。Objective To analyze the expression and significance of human cytoplasmic adaptor protein 1(KEAP1)in lung cancer by bioinformatics technology,and to provide a strong basis for the follow-up treatment and prognosis of lung cancer.Methods GEO database was used to mine the expression and chromosomal localization of KEAP1 gene.Kaplan-Meier database was used to analyze the relationship between KEAP1 expression and prognosis of patients with lung cancer.Linkedomics database and String database were used to obtain the expression data and protein interaction network of KEAP1 gene in different tissues and diseases,the relationship between KEAP1 and other proteins was analyzed,and the association and regulatory network with other genes was explored.The expression of KEAP1 was analyzed by GEPIA2 database to compare the expression of KEAP1 in normal lung tissues and lung cancer tissues.Results KEPA1 gene was located on chromosome 19,and the expression of this gene was correlated with the prognosis and survival analysis of patients with lung cancer(P<0.05).Gene co-analysis showed that PTGER4,CD36,KRAS and other genes were negatively correlated with KEAP1 gene expression in lung cancer(P<0.05).KEAP1 played a role in lung cancer mainly through the KEAP1-NFE2L2 pathway;compared with normal lung tissues,the expression of KEAP1 in lung cancer tissues decreased significantly after gene mutation(P<0.05).Conclusion KEAP1 mutation is associated with shorter survival time in patients with lung cancer,and the decrease of this gene is related to the occurrence and progression of lung cancer.Among the driving genes of lung cancer,KEAP1 is a gene with a high risk of mutation in patients with lung cancer,which is expected to become an effective target for prognosis evaluation and treatment of lung cancer.

关 键 词：肺癌 KEAP1基因 生物信息学 预后 生存期 

分 类 号：R734.2[医药卫生—肿瘤]