Integrated bioinformatics analysis to identify 15 hub genes in breast cancer

被引：21
作者：
Jin, Haoxuan [1 ,2 ,3 ,4 ]
Huang, Xiaoyan [1 ,2 ,3 ,4 ]
Shao, Kang [2 ,3 ,4 ]
Li, Guibo [2 ,3 ,4 ]
Wang, Jian [2 ,4 ]
Yang, Huanming [2 ,4 ]
Hou, Yong [2 ,3 ,4 ]
机构：
[1] Univ Chinese Acad Sci, BGI Educ Ctr, Shenzhen 518083, Guangdong, Peoples R China
[2] BGI Shenzhen, 11 Beishan Rd, Shenzhen 518083, Guangdong, Peoples R China
[3] BGI Shenzhen, China Natl GeneBank, Shenzhen 518120, Guangdong, Peoples R China
[4] Zhejiang Univ, James D Watson Inst Genome Sci, Hangzhou 310058, Zhejiang, Peoples R China
来源：
ONCOLOGY LETTERS | 2019年 / 18卷 / 02期
关键词：
breast cancer; hub gene; bioinformatics analysis; Gene Expression Omnibus; The Cancer Genome Atlas; NETWORK ANALYSIS; EXPRESSION DATA; CARCINOMA; SURVIVAL; CDC20; CDKN3; OVEREXPRESSION; BINDING; MODELS; PRC1;
D O I：
10.3892/ol.2019.10411
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
The aim of the present study was to identify the hub genes and provide insight into the tumorigenesis and development of breast cancer. To examine the hub genes in breast cancer, integrated bioinformatics analysis was performed. Gene expression profiles were obtained from the Gene Expression Omnibus (GEO) database and the differentially expressed genes (DEGs) were identified using the limma' package in R. Gene Ontology enrichment analysis and Kyoto Encyclopedia of Genes and Genomes pathway analysis was used to determine the functional annotations and potential pathways of the DEGs. Subsequently, a protein-protein interaction network analysis and weighted correlation network analysis (WGCNA) were conducted to identify hub genes. To confirm the reliability of the identified hub genes, RNA gene expression profiles were obtained from The Cancer Genome Atlas (TCGA)-breast cancer database, and WGCNA was used to screen for genes that were markedly correlated with breast cancer. By combining the results from the GEO and TCGA datasets, 15 hub genes were identified to be associated with breast cancer pathophysiology. Overall survival analysis was performed to examine the association between the expression of hub genes and the overall survival time of patients with breast cancer. Higher expression of all hub genes was associated with significantly shorter overall survival in patients with breast cancer compared with patients with lower levels of expression of the respective gene.
引用
收藏
页码：1023 / 1034
页数：12
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