Preliminary Study On A New Marker Of Renal Cell Carcinoma COPS7B Based On Multiple Bioinformatics Analysis

Objectives:New prognostic markers and therapeutic targets for renal cell carcinoma(RCC)are explored based on multiple bioinformatics analysis methods.Methods:The GSE53757 and GSE40435 gene expression profiling data sets were downloaded from the Gene Expression Omnibus(GEO)database.The heat map was constructed using Morpheus(https://software.broadinstitute.org/morpheus),the signal-to-noise ratio was set,the relevant genes were selected,and gene ontology(GO)and pathway analysis were performed using the DAVID database.The STRING database(based on all common genes identified in the GSE53757 and GSE40435 data sets)was used to construct a portable network of 106 genes from which to screen the key central genes of RCC.A protein-protein interaction(PPI)network was constructed using the Cytoscape Interaction Network(Cytoscape)version 3.6(http://www.cytoscape.org).Based on the data presented in cBioPortal to study the association between overall survival and recurrence,the COPS7 B gene within the PPI network was selected for further study in vitro.The COPS7 B gene was knocked down by the appropriate siRNA in the RCC cell line,and the relationship between the COPS7 B gene and RCC was predicted by comparing the ability of renal cell carcinoma proliferation and invasion before and after COPS7 B gene knockdown.Results:This study identified 174 and 149 genes with significant signal-to-noise ratios in the two data sets,GSE53757 and GSE40435,respectively.53 genes with intersection characteristics in these two data sets were selected.All 53 genes selected in this study were identified by the DAVID database,analyzed using the DAVID database,and analyzed by Gene Ontology(GO)and Kyoto Gene and Genome(KEGG).GO analysis indicated that PRKCDBP,EHD2,KCNJ10,ATP1A1,KCNJ1 and EHD2 may be involved in various biological processes.In addition,ALDH6A1,LDHA,SUCLG1 and ABAT may be involved in the propionic acid metabolic pathway.To elucidate the key central genes in RCC,the STRING database was used to construct a portable network of 106 genes,and a set of genes was identified that were identified as significantly associated with other genes,including DDB2,COPS6,DDB1,COPS5,COPS7 A,COPS8,COPS4,GPS1,COPS3,COPS7 B and COPS2.Using Cytoscape to build a PPI network,we got an important module with 11 nodes,which is similar to the result of STRING analysis.In addition,using the cBioPortal database analysis,COPS7 B was found to be associated with reduced overall survival and increased recurrence rates in renal cancer patients,and we chose COPS7 B to further investigate its function in RCC.siRNA knockdown of the COPS7 B gene in renal cancer cells,knockdown of COPS7 B inhibits the proliferation and invasion of RCC cells.The knockdown of COPS7 B inhibited the expression of HIF1-α.Conclusions:Overexpression of COPS7 B predicts metastasis of advanced renal and renal cancers.The knockdown of the COPS7 B gene level inhibits the proliferation and invasion ability of RCC cells.This suggests that the COPS7 B gene may be a prognostic marker and therapeutic target in RCC.