Identification Of Four Hub Genes To Predict Prognosis Of Patients With Bladder Urothelial Carcinoma

Objective: Bladder urothelial carcinoma(BLCA)has high rates of morbility and mortality worldwide.It is critical to establish the exact mechanisms underlying its carcinogenesis and progression.Unfortunately,no single gene has been identified as the definitive cause of BLCA.As a result,there is no accepted molecular signitures to predict the prognoses of BLCA.This shortage of the knowledge also hinders the development of novel therapies against BLCA.To identify the potential genes involved in the initiation and progression of BLCA.Methods : We constructed a weighted gene co expression network(WGCNA)in which the gene modules were associated with the clinical traits in BLCA(n =414).Among the 25 modules established,the high correlation was found between the light green module and carcinoma risk.In these light green modules,23 network hub genes for metastasis risk were identified,EGR2 were also hub nodes in the protein protein interaction network constructed for the module genes identified in WGCNA.Results: EGR2 showed negative correlation with survival rates.Gene set enrichment analysis(GSEA)demonstrated four sets of genes of ABC transporters,ECM receptor interaction,focal adhesion,leukocyte transendothelial migration are involved in BLCA.Conclusions: The current study have identified a molecular signiture composed of four genes which will help in better predicting the prognoses of BLCA.This knowledge may also be useful in developing novel therapies.