[Objective]This study investigated upregulated genes in esophageal cancer using the GEPIA database and analyzed their prognostic value.[Methods]Differentially expressed genes between esophageal cancer and normal tissu...[Objective]This study investigated upregulated genes in esophageal cancer using the GEPIA database and analyzed their prognostic value.[Methods]Differentially expressed genes between esophageal cancer and normal tissues were identified in GEPIA.The top candidates were validated and subjected to survival analysis to assess associations with patient outcomes.[Results]A total of 4049 genes were significantly upregulated in esophageal cancer tissues.The top 10 genes included POU2F1,HOXB7,RPPH1,RPL41P2,EIF2AK2,ADH1B,LCLAT1,and SNX10.Among them,only RPPH1 showed prognostic relevance,being significantly associated with disease-free survival,though not with overall survival.The remaining genes did not demonstrate significant survival cor-relations.[Conclusion]RPPH1 is a potential prognostic biomarker for esophageal cancer,with high expression linked to poor disease-free survival.These findings highlight its value as a therapeutic target and provide insights for individualized treatment strategies.展开更多
[Objective]To explore the differential gene expression profiles between skin cutaneous melanoma(SKCM)and normal tissues using bioinformatics methods,and to evaluate their predictive value for patient survival and prog...[Objective]To explore the differential gene expression profiles between skin cutaneous melanoma(SKCM)and normal tissues using bioinformatics methods,and to evaluate their predictive value for patient survival and prognosis.[Methods]Differentially expressed genes(DEGs)between tumor and normal tissues were identified using the GEPIA database.The correlation between key gene expression and overall survival was analyzed.[Results]A total of 6,457 significantly upregulated genes(FDR<0.05)were identified.The top 10 genes with the highest expression levels included PRAME,RP11-40C6.2,SERPINE2,SDC3,UBE2SP2,ETV5,PLOD3,EIF5AP4,UBE2S,and HNRNPCP2.Survival analysis revealed that the expression levels of EIF5AP4,UBE2S,and SERPINE2 were significantly associated with clinical prognosis.Specifically,high EIF5AP4 expression was significantly associated with shortened disease-free survival(DFS),while high UBE2S expression was significantly associated with reduced overall survival(OS)and DFS.In contrast,high SERPINE2 expression was significantly associated with prolonged OS and DFS.[Conclusion]This study 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 three genes may serve as a novel molecular signature for prognostic evaluation in SKCM.展开更多
[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 progn...[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.展开更多
文摘[Objective]This study investigated upregulated genes in esophageal cancer using the GEPIA database and analyzed their prognostic value.[Methods]Differentially expressed genes between esophageal cancer and normal tissues were identified in GEPIA.The top candidates were validated and subjected to survival analysis to assess associations with patient outcomes.[Results]A total of 4049 genes were significantly upregulated in esophageal cancer tissues.The top 10 genes included POU2F1,HOXB7,RPPH1,RPL41P2,EIF2AK2,ADH1B,LCLAT1,and SNX10.Among them,only RPPH1 showed prognostic relevance,being significantly associated with disease-free survival,though not with overall survival.The remaining genes did not demonstrate significant survival cor-relations.[Conclusion]RPPH1 is a potential prognostic biomarker for esophageal cancer,with high expression linked to poor disease-free survival.These findings highlight its value as a therapeutic target and provide insights for individualized treatment strategies.
文摘[Objective]To explore the differential gene expression profiles between skin cutaneous melanoma(SKCM)and normal tissues using bioinformatics methods,and to evaluate their predictive value for patient survival and prognosis.[Methods]Differentially expressed genes(DEGs)between tumor and normal tissues were identified using the GEPIA database.The correlation between key gene expression and overall survival was analyzed.[Results]A total of 6,457 significantly upregulated genes(FDR<0.05)were identified.The top 10 genes with the highest expression levels included PRAME,RP11-40C6.2,SERPINE2,SDC3,UBE2SP2,ETV5,PLOD3,EIF5AP4,UBE2S,and HNRNPCP2.Survival analysis revealed that the expression levels of EIF5AP4,UBE2S,and SERPINE2 were significantly associated with clinical prognosis.Specifically,high EIF5AP4 expression was significantly associated with shortened disease-free survival(DFS),while high UBE2S expression was significantly associated with reduced overall survival(OS)and DFS.In contrast,high SERPINE2 expression was significantly associated with prolonged OS and DFS.[Conclusion]This study 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 three genes may serve as a novel molecular signature for prognostic evaluation in SKCM.
文摘[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.
