Chinese Medical Sciences Journal ›› 2023, Vol. 38 ›› Issue (1): 20-28.doi: 10.24920/004148

• 论著 • 上一篇    下一篇

基于GEO数据库食管癌关键基因和信号通路分析

宋安忆1,2,*(),木兰1,代小勇1,王丽君1,黄来强1,*()   

  1. 1深圳市基因与抗体治疗重点实验室,清华大学深圳国际研究生院,深圳518055,广东,中国
    2清华大学化学系,北京100084,中国
  • 收稿日期:2022-08-01 接受日期:2023-01-28 出版日期:2023-03-31 发布日期:2023-03-01
  • 通讯作者: 宋安忆,黄来强 E-mail:sonanyi0422@163.com;huanglq@tsinghua.edu.cn.

Analysis of Significant Genes and Pathways in Esophageal Cancer Based on Gene Expression Omnibus Database

An-Yi Song1,2,*(),Lan Mu1,Xiao-Yong Dai1,Li-Jun Wang1,Lai-Qiang Huang1,*()   

  1. 1The Shenzhen Key Laboratory of Gene and Antibody Therapy, State Key Laboratory of Chemical Oncogenomics, Tsinghua-Berkeley Shenzhen Institute (TBSI), Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, Guangdong Province, China
    2Department of Chemistry, Tsinghua University, Beijing 100084, China
  • Received:2022-08-01 Accepted:2023-01-28 Published:2023-03-31 Online:2023-03-01
  • Contact: An-Yi Song,Lai-Qiang Huang E-mail:sonanyi0422@163.com;huanglq@tsinghua.edu.cn.

摘要:

目的 基于GEO数据库,通过分析癌症组织的高表达基因,筛选用于免疫治疗的抗原靶点,并通过富集分析、PPI网络和生存分析等方法,探讨癌症相关的关键通路和分子机制。

方法 通过筛选高表达基因,借助于TMHMM和IEDB平台,分析蛋白质的跨膜域和抗原表位。基于富集分析、PPI网络和生存分析的方法,对癌症发展相关的基因和信号通路进行分析。分析和绘图涉及的软件和平台包括Prism 8、R语言、Cytoscape、DAVID、STRING和GEPIA网站等。

结果 MUC13EPCAM基因在食管癌组织中高表达,并具有多个抗原识别位点。根据富集分析的结果,一系列基因与角质化过程相关。生存分析结果表明,基因ALDH3A1C2SLC6A1ZBTB7C的生存曲线具有显著差异性。

结论 MUC13EPCAM可能作为食管癌免疫治疗的抗原靶点和生物标志物。角质化过程可能在食管癌的发生发展过程中发挥重要作用。基因ALDH3A1, C2, SLC6A1和ZBTB7C可能与食管癌患者生存周期密切相关。

关键词: GEO, 食管癌, 抗原, 富集分析, 生存曲线, 信号通路

Abstract:

Objective To screen antigen targets for immunotherapy by analyzing over-expressed genes, and to identify significant pathways and molecular mechanisms in esophageal cancer by using bioinformatic methods such as enrichment analysis, protein-protein interaction (PPI) network, and survival analysis based on the Gene Expression Omnibus (GEO) database.

Methods By screening with highly expressed genes, we mainly analyzed proteins MUC13 and EPCAM with transmembrane domain and antigen epitope from TMHMM and IEDB websites. Significant genes and pathways associated with the pathogenesis of esophageal cancer were identified using enrichment analysis, PPI network, and survival analysis. Several software and platforms including Prism 8, R language, Cytoscape, DAVID, STRING, and GEPIA platform were used in the search and/or figure creation.

Results Genes MUC13 and EPCAM were over-expressed with several antigen epitopes in esophageal squamous cell carcinoma (ESCC) tissue. Enrichment analysis revealed that the process of keratinization was focused and a series of genes were related with the development of esophageal cancer. Four genes including ALDH3A1, C2, SLC6A1,and ZBTB7C were screened with significant P value of survival curve.

Conclusions Genes MUC13 and EPCAM may be promising antigen targets or biomarkers for esophageal cancer. Keratinization may greatly impact the pathogenesis of esophageal cancer. Genes ALDH3A1, C2, SLC6A1,and ZBTB7C may play important roles in the development of esophageal cancer.

Key words: GEO, esophageal cancer, antigen, enrichment analysis, survival curve, signaling pathway

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