Identification of the potential crucial genes in invasive ductal carcinoma using bioinformatics analysis

Oncotarget
Chunguang LiXiongbiao Wang

Abstract

Invasive ductal carcinoma (IDC) is a common histological type of breast cancer. The aim of this study was to identify the potential crucial genes associated with IDC and to provide valid biological information for further investigations. The gene expression profiles of GSE10780 which contained 42 histologically normal breast tissues and 143 IDC tissues were downloaded from the GEO database. Functional and pathway enrichment analysis of differentially expressed genes (DEGs) were performed and protein-protein interaction (PPI) network was analyzed using Cytoscape. In total, 999 DEGs were identified, including 667 up-regulated and 332 down-regulated DEGs. Gene ontology analysis demonstrated that most DEGs were significantly enriched in mitotic cell cycle, adhesion and protein binding process. Through PPI network analysis, a significant module was screened out, and the top 10 hub genes, CDK1, CCNB1, CENPE, CENPA, PLK1, CDC20, MAD2L1, HIST1H2BK, KIF2C and CCNA2 were identified from the PPI network. The expression levels of the 10 genes were validated in Oncomine database. KIF2C, MAD2L1 and PLK1 were associated with the overall survival. And we used cBioPortal to explore the genetic alterations of hub genes and potential drugs. In co...Continue Reading

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Citations

May 28, 2019·Journal of Cellular Physiology·Qiang MaXiaolan Guo
May 28, 2019·Frontiers in Genetics·Beste TuranliKazim Yalcin Arga
May 23, 2019·International Journal of Oncology·Lina ShanXianbao Shi
Dec 12, 2018·Genetic Testing and Molecular Biomarkers·Wanxin TangXuhua Mi
Aug 3, 2021·The Journal of International Medical Research·Yunfei ZhangZheng-Min Xu

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Datasets Mentioned

BETA
GSE10780

Software Mentioned

cBioPortal
Bioconductor
CytoHubba
R language package
Molecular Complex Detection ( MCODE )
R
DAVID
Search Tool for the Retrieval of Interacting ( STRING
Cytoscape
STRING

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