实用医学杂志 ›› 2022, Vol. 38 ›› Issue (1): 73-78.doi: 10.3969/j.issn.1006⁃5725.2022.01.014

• 临床研究 • 上一篇    下一篇

食管鳞癌预后生物标志物的挖掘及其通路分析

田琴琴1 李昂2 李佳莹2 谢俞宁2 仵红娇2 张雪梅1,2   

  1. 华北理工大学1 生命科学学院,2 公共卫生学院(河北唐山 063210)

  • 出版日期:2022-01-10 发布日期:2022-01-10
  • 通讯作者: 张雪梅 E⁃mail:jyxuemei@gmail.com
  • 基金资助:
    河北省自然科学基金重点项目资助(编号:H2017209233)

Analysis of prognostic biomarkers and pathways in esophageal squamous cell carcinoma

TIAN Qinqin*,LI Ang,LI Jiaying,XIE Yuning,WU Hongjiao,ZHANG Xuemei.   

  1. College of Life Sciences,North China University of Scienceand Technology,Tangshan 063210,China

  • Online:2022-01-10 Published:2022-01-10
  • Contact: ZHANG Xuemei E⁃mail:jyxuemei@gmail.com

摘要:

目的 分析食管鳞癌(ESCC)组织中的差异表达基因(DEGs)与预后的关系,并探索影响食 管鳞癌发生的关键通路。方法 R 语言 limma 程序对基因表达数据库(GEO)与癌症基因图谱(TCGA 数据库的食管鳞癌转录组数据进行差异表达基因进行分析。Cox 回归模型筛选食管鳞癌独立预后基 因。TIMER 数据库进行独立预后基因与免疫浸润细胞之间的相关性分析。基因集富集分析(GSEA)和 基因集变异分析(GSVA)预测差异基因的调控网络。结果 分析三个GEO数据集(GSE17351、GSE20347 GSE100942)和 TCGA 的差异表达基因结果,得到 55 个共同差异表达基因(40 个上调和 15 个下调基因)。 55 个基因进行单因素 Cox 回归分析,发现 TTK、CHEK1、FEN1、KIF14、NUP155、KIF23 CENPE 与食 管鳞癌患者总体生存时间相关。对 7 个预后相关基因进行多因素 Cox 回归分析,发现 TTK 可作为食管 鳞癌的独立预后因素。GSEA GSVA 结果显示 TTK 可能通过调节细胞周期、DNA 损伤修复等通路 影响食管鳞癌的发生发展。结论 TTK 高表达是一种预后不良因素,可能作为食管鳞癌的潜在预后 标志物。

关键词: TCGA 数据库, GEO 数据库, 食管鳞癌, 差异表达基因, 预后

Abstract:

Objective To analyze the relationship between Differentially Expressed Genes(DEGs)and prognosis in Esophageal Squamous Cell Carcinoma(ESCC),explore the key pathways affecting the development of ESCC. Methods The R language′ s limma program was used to screen DEGs from ESCC transcriptomics data downloaded from the Gene Expression Omnibus(GEO)and The Cancer Genome Atlas(TCGA)databases. The Cox regression models were used to screen for independent prognostic genes in ESCC. The TIMER database was used to investigate the relationship between independent prognostic genes and immune infiltrating cells. To predict the regulatory network of DEGs in ESCC,Gene Set Enrichment Analysis(GSEA)and Gene Set Variation Analysis (GSVA)were used. Results The GSE17351,GSE20347,GSE100942 and TCGA datasets yielded a total of 55 common DEGs,with 40 up⁃regulated and 15 down⁃regulated genes. Univariate Cox regression analysis of 55 com⁃ mon DEGs indicated the 7 DEGs,including TTK,CHEK1,FEN1,KIF14,NUP155,KIF23 and CENPE,were related to the overall survival time of ESCC patients. Multivariate Cox regression analysis showed only TTK could be used as an independent prognostic factor for ESCC. TTK may influence the development of ESCC by regulating cell cycle,DNA damage repair,and other cell proliferation⁃related pathways,according to GSEA and GSVA results. Conclusion The up⁃regulation of TTK could be used as a potential poor prognostic marker in ESCC. 

Key words: TCGA database,  , GEO database,  , esophageal squamous cell carcinoma,  , differentially expressed genes,  , prognosis