OncoTargets and Therapy (Jun 2020)
Identification of Potential Key Genes and Pathways for Inflammatory Breast Cancer Based on GEO and TCGA Databases
Abstract
Qing Lv,1,* Yansong Liu,2,* Hu Huang,1 Mingjie Zhu,1 Junqiang Wu,1 Dong Meng1 1Department of Breast Surgery, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, People’s Republic of China; 2Department of Breast Surgery, Tumor Hospital of Mudanjiang City, Mudanjiang, Heilongjiang, People’s Republic of China*These authors contributed equally to this workCorrespondence: Dong Meng; Junqiang WuDepartment of Breast Surgery, Affiliated Hospital of Jiangnan University, Wuxi 214035, Jiangsu, People’s Republic of ChinaTel +86-8868 2317Email [email protected]; [email protected]: Inflammatory breast cancer (IBC) is a rare type of breast cancer with poor prognosis, and the pathogenesis of this life-threatening disease is yet to be fully elucidated. This study aims to identify key genes of IBC, which could be potential diagnostic or therapeutic targets.Methods: Four datasets GSE5847, GSE22597, GSE23720, and GSE45581 were downloaded from the Gene Expression Omnibus (GEO) and differential expression analysis was performed. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were conducted to understand the potential bio-functions of the differentially expressed genes (DEGs). Protein–protein interaction (PPI) network was constructed for functional modules analysis and hub genes identification, and TCGA survival analysis and qRT-PCR of clinical samples were used to further explore and validate the effect of hub genes on IBC.Results: A total of 114 DEGs were identified from the GEO datasets. GO and KEGG analyses showed that the DEGs were mainly enriched in oncogenesis and cell adhesion. From the PPI network, we screened out five hub genes, including PTPRC, IL6, SELL, CD40, and SPN. Survival analysis and expression validation verified the robustness of the hub genes.Discussion: The present study provides new insight into the understanding of IBC pathogenesis and the identified hub genes may serve as potential targets for diagnosis and treatment.Keywords: inflammatory breast cancer, bioinformatic analysis, hub genes, microarray
