赣南医学院学报2024，Vol.44Issue(5)：441-449,9.DOI:10.3969/j.issn.1001-5779.2024.05.001
基于配对样本芯片数据识别乳腺癌关键基因及验证
Identification and verification of key genes in breast cancer based on paired sample microarray data
摘要
Abstract
Objective:Through high-throughput screening and bioinformatics analysis,the key genes of breast cancer was found,to provide guidance for exploring the potential molecular markers of breast cancer and improving the understanding of the pathogenesis in breast cancer.Methods:⑴ The gene chip datasets were screened through the GEO database.The differential expression genes in each datasets were obtained through GEO2R online analysis.Commonly significantly differentially expressed genes(CDEGs)were obtained through Venn diagram.⑵ GO and KEGG enrichment analysis on CDEGs was performed based on the DAVID database.⑶ The visual protein-protein interaction network(PPI)of CDEGs was acquired through STRING database and Cytoscape software,and the key genes of breast cancer were calculated using the CytoHubba plugin.⑷ The expression level of these key genes in breast cancer and normal tissues was verified based on independent datasets and GEPIA database.⑸ Prognostic analysis of key genes in breast cancer was conducted through Kaplan Meier plotter database,and survival curve was drawn.Results:⑴ The GSE15852,GSE109169,and GSE33447 gene expression datasets were screened,and a total of 355 CDEGs were identified.⑵ Further analysis showed that CDEGs were involved in a variety of biological processes and signaling pathways,among which plasma membrane,extracellular region,extracellular exosome,extracellular space,identical protein binding,PPAR signaling pathway and tyrosine metabolism were closely related to breast cancer.⑶The PPI obtained from CDEGs consists of 298 genes and 1 327 edges,and AURKA,CDK1,MCM4,TOP2A,RRM2,PRC1,HMMR,MELK,GINS2 and UHRF1 were identified as key genes of breast cancer.⑷ Three datasets and GEPIA database verify that the expression of key genes in breast cancer tissues was significantly higher than that in normal adjacent tissues.⑸ Survival analysis confirmed that OS of the patients with high expression of key genes in breast cancer was much higher than that of the patents with low expression(P＜0.001).Conclusion:The key genes of breast cancer are closely related to the occurrence and prognosis of breast cancer,which provides a new idea for clinical diagnosis and improvement of the prognosis of patients with breast cancer.关键词
乳腺癌/差异表达基因/关键基因/生存分析Key words
Breast cancer/Differential expression genes/Key genes/Survival analysis分类
医药卫生引用本文复制引用
刘梦莹,蔡浩,何明,罗芸,郭有..基于配对样本芯片数据识别乳腺癌关键基因及验证[J].赣南医学院学报,2024,44(5):441-449,9.基金项目
国家自然科学基金资助项目(81903186) （81903186）
江西省重点研发计划项目(20203BBGL73202) （20203BBGL73202）
江西省教育厅科学技术研究项目(GJJ211544,GJJ211545) （GJJ211544,GJJ211545）
