Screening of Differentially Expressed Genes with Predictive Value for Prognosis of Prostate Cancer Based on Data Mining
Objective o screen the differentially expressed genes with predictive value for overall survival(OS)and disease-free survival(DFS)of prostate cancer by data mining.Methods By mining the information of genes related to OS and DFS of prostate cancer and tumor differentially expressed genes in the GEPIA2 database,the relationship between up-regulated genes and down-regulated genes and OS and DFS was explored.Finally,differentially expressed genes with predictive value for OS and DFS of prostate cancer were screened.Results A total of 3005 differentially expressed genes in prostate cancer were screened,including 681 up-regulated genes and 2324 down-regulated genes.There were 497 genes related to OS,and 63 differentially expressed genes were screened out,including 6 up-regulated genes and 57 down-regulated genes.The up-regulation of UBE2SP2,RP11-627G23.1,RPL7P23 and TK1 was related to the lower OS of prostate cancer,while the OS of prostate cancer in patients with high expression of RNA5-8S5 and ELOVL2 was higher than that in patients with low expression.There were 499 genes related to DFS,and 184 differentially expressed genes were screened out,including 9 up-regulated genes.The DFS of prostate cancer patients with up-regulated expression of C2,FUCA1 and C9orf152 was higher,while the high expression of TK1,CDC20,BIRC5,TOP2A,UBE2SP2 and FAM223A was related to lower DFS,and 175 genes were down-regulated.There was a positive correlation between UBE2SP2 and TK1,and high expression was associated with poor OS and DFS.Conclusion A total of 15 up-regulated genes related to the prognosis of prostate cancer are screened,which can provide some reference for the selection of gene targets with predictive value for OS and DFS of prostate cancer.
国家科技期刊平台
NSTL
万方数据
维普
