Co-expression Network Analysis Of Egfr In Pancreatic Cancer

Objective: Pancreatic cancer is one of the most lethal cancers in the world.In this study,we construct the co-expression network of EGFR gene in pancreatic cancer by bioinformatics,and attempt to provide new ideas and directions for targeted treatment of pancreatic cancer.Methods: We used a group of 177 cases of pancreatic cancer with RNAseq in TCGA database.Then we found the co-expression genes of EGFR in c Bio Portal database.Used STRING database to make PPI network of the co-expression genes.Then we imported the PPI image into the Cytoscape software,and the network image of EGFR gene were drawn.After that,we used DAVID database for GO-BP biological process and KEGG signal pathway enrichment analysis.And we used the Cytoscape software to find hub genes in the network.Then we used the selected hub genes and EGFR gene to make a new gene list and imported it into the STRING database to test the relationship between them.Finally,GEPIA database was used to compare the expression of the hub genes in pancreatic cancer and normal tissues and survival analysis.Results: 367 co-expression genes related to EGFR were screened out.It was found that the top 10 functional modules were Protein SUMOylation,Sister Chromatid Cohesion,Viral Process,Cellular Response to DNA Damage Stimulus,Protein Phosphorylation,Double-strand Break Repair via Nonhomologous End Joining,Vascular Endothelial Growth Factor Receptor Signaling Pathway,Positive Regulation of Transcription from RNA Polymerase II Promoter,DNA Repair,Protein Ubiquitination involved in Ubiquitin-dependent Protein Catabolic Process.After enrichment analysis of KEGG signaling pathway,we found that the top 10 signaling pathways involved in these genes are Regulation of Actin Cytoskeleton,Focal Adhesion,Sphingolipid Signaling Pathway,Colorectal Cancer,Ubiquitin Mediated Proteolysis,Pancreatic Cancer,Proteoglycans in Cancer,Renal Cell Carcinoma,RNA Transport,TNF Signaling Pathway.After further screening of the constructed PPI network and verifying its reliability,10 hub genes were found: 1.PPP2R5E;2.XPO1;3.KRAS;4.PIK3CA;5.NUP160;6.FXR1;7.POLR1A;8.MAPK8;9.KIF2A;10.SMC3.And compared with normal tissues,these hub genes were all highly expressed in pancreatic cancer tissues.Survival analysis showed that KRAS,XPO1 and FXR1 were significant prognostic markers.When they were highly expressed,the Overall Survival was significantly shortened(P < 0.05).At the same time,in the PPI network composed of 10 hub genes with EGFR,FXR1 and KRAS have a direct relationship.Conclusion: The co-expression gene network of EGFR in pancreatic cancer is mainly involved in cell cycle and ubiquitin related metabolism,such as gene replication,transcription,translation and damage repair,and it is closely related to tumor related signaling pathways such as pancreatic cancer,colorectal cancer and TNF factor.It is found that KRAS,XPO1 and FXR1 are closely related to the survival prediction of pancreatic cancer,and there is a direct relationship between FXR1 and KRAS.At the same time,targeted drug about FXR1 has not been explored and developed,which may become a new research direction of targeted therapy for pancreatic cancer.