摘要
目的通过生物信息学技术分析转录因子E2F家族在人非小细胞肺癌(non-small cell lung cancer,NSCLC)中的表达,探讨其与NSCLC临床病理特征的关系,阐明E2F家族对NSCLC诊断及预后的影响。方法使用Oncomine数据库、UALCAN数据库分析E2F家族在NSCLC组织及正常肺组织中,mRNA水平表达差异;利用UALCAN及Kaplan Meier-Plotter在线分析工具,阐明E2F家族高表达与NSCLC患者病理参数及患者总生存率(overall survival,OS)之间的关系;并利用cBioPorta网站分析E2F家族在NSCLC中的基因突变情况。结果E2F家族在NSCLC中均呈现高表达,且与NSCLC的肿瘤分级、淋巴转移相关;癌症基因组图谱(the cancer genome atlas,TCGA)分析显示E2F1,E2F2,E2F4,E2F7和E2F8高表达与NSCLC患者总生存率密切相关;突变分析显示,E2F家族在NSCLC中的突变率高达32%。结论E2F家族在NSCLC中呈高表达,且与肿瘤的分级和淋巴转移呈正相关。
Objective To analyze the expression of transcription factor E2F family in human non-small cell lung cancer(NSCLC)by bioinformatics techniques,explore its relationship with clinicopathological features of NSCLC and clarify the influence of E2F family on the diagnosis and prognosis of NSCLC.Methods Oncomine database and UALCAN database were used to analyze the mRNA expression differences of E2F family in NSCLC tissues and normal lung tissues.UALCAN and Kaplan Meier-Plotter online analysis tools were used to clarify the relationship between the high expression of E2F family and the pathological parameters and overall survival(OS)rate of NSCLC patients.The E2F family gene mutation in NSCLC was analyzed by cBioPorta website.Results E2F family was highly expressed in NSCLC,and was correlated with tumor grade and lymphatic metastasis of NSCLC.TCGA(the cancer genome atlas)analysis showed that the high expression of E2F1,E2F2,E2F4,E2F7 and E2F8 was closely related to the overall survival rate of NSCLC patients.Mutation analysis showed that the mutation rate of E2F family in NSCLC was up to 32%.Conclusion E2F family was highly expressed in NSCLC,and was positively correlated with tumor grade and lymphatic metastasis。
作者
张涛元
丁雪梅
李俏
祝撷英
曹三成
吴爽
ZHANG Tao-yuan;DING Xue-mei;LI Qiao;ZHU Xie-ying;CAO San-cheng;WU Shuang(Affiliated Rizhao Hospital of Qingdao University/Rizhao International Heart Hospital,Shandong Rizhao 276801,China;Rizhao Traditional Chinese Medicine Hospital,Shandong Rizhao 276899,China;the Affiliated Children Hospital of Xi’an Jiaotong University,Xi’an 710003,China)
出处
《现代检验医学杂志》
CAS
2022年第4期87-91,共5页
Journal of Modern Laboratory Medicine
基金
陕西省社会发展科技攻关项目(NO.2016SF-036)
西安交通大学基本科研业务费自由探索与创新-教师类项目(NO.xzyo12019129)。
关键词
E2F家族
非小细胞肺癌
生物信息学
transcription factors E2F
non-small cell lung cancer
bioinformatics