摘要
[Objective]To explore the differential gene expression profiles between skin cutaneous melanoma(SKCM)and normal tissues using bioinformatics methods,and to evaluate their predictive valuefor patient survival and prognosis.[Methods]Differentially expressed genes(DEGs)between tumor and normal tissues were identified using the GEPIA database.The correlation between keygene expression and overall survival was analyzed.[Results]A total of 6,457 significantly upregu-lated genes(FDR<0.05)were identified.The top 10 genes with the highest expression levels in-cluded PRAME,RP11-40C6.2,SERPINE2,SDC3,UBE2SP2,ETV5,PLOD3,EIF5AP4,UBE2S,and HNRNPCP2.Survival analysis revealed that the expression levels of EIF5AP4,UBE2S,andSERPINE2 were significantly associated with clinical prognosis.Specifically,high EIF5AP4 expression was significantly associated with shortened disease-free survival(DFS),while high UBE2Sexpression was significantly associated with reduced overall survival(OS)and DFS.In contrast,highSERPINE2 expression was significantly associated with prolonged OS and DFS.[Conclusion]Thisstudy suggests that UBE2S and EIF5AP4 may function as oncogenic factors promoting SKCM progression,whereas SERPINE2 may play a protective role.The combined expression of these threegenes may serve as a novel molecular signature for prognostic evaluation in SKCM.
