目的:通过Oncomine数据库分析弥漫大B细胞淋巴瘤(Diffuse large B-cell lymphoma,DLBCL)中EGR1基因表达及意义,为DLBCL的治疗提供新的靶标。方法:在Oncomine及GEPIA数据库中分析EGR1的表达及其与DLBCL患者预后之间的关系。结果:与正常...目的:通过Oncomine数据库分析弥漫大B细胞淋巴瘤(Diffuse large B-cell lymphoma,DLBCL)中EGR1基因表达及意义,为DLBCL的治疗提供新的靶标。方法:在Oncomine及GEPIA数据库中分析EGR1的表达及其与DLBCL患者预后之间的关系。结果:与正常样本中的表达相比,EGR1在DLBCL中高表达(P<0.05),且在ABC型DLBCL中的表达显著高于GCB中的表达(P<0.05)。GEPIA数据库中EGR1高表达患者120个月内生存率显著低于低表达患者(P<0.05)。结论:EGR1在DLBCL组织中高表达且与DLBCL患者预后有关,该研究可为DLBCL疾病及药物的开发提供理论依据。展开更多
[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 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
[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
目的探讨核黄素转运体2(RFT2)在肺腺癌中的表达、预后意义及其生物学功能。方法检索GEPIA数据库中有关肺腺癌的数据,分析肺腺癌组织与癌旁组织中RFT2 mRNA表达的差异。采用Kaplan-Meier方法分析RFT2高、低表达组肺腺癌患者总生存时间(OS...目的探讨核黄素转运体2(RFT2)在肺腺癌中的表达、预后意义及其生物学功能。方法检索GEPIA数据库中有关肺腺癌的数据,分析肺腺癌组织与癌旁组织中RFT2 mRNA表达的差异。采用Kaplan-Meier方法分析RFT2高、低表达组肺腺癌患者总生存时间(OS)、无病进展生存时间(DFS)的差异。利用The Human Protein Atlas分析肺腺癌组织和正常肺组织中RFT2蛋白表达的差异。通过String和WebGestalt数据库分析与RFT2表达相关的蛋白及其生物学功能。结果肺腺癌组织中RFT2 mRNA的表达水平明显高于正常肺组织,差异有统计学意义(P<0.01)。不同分期肺腺癌组织中RFT2 mRNA表达比较差异无统计学意义(P>0.05)。RFT2 mRNA高表达患者OS缩短(HR=1.4,P<0.05),DFS无明显改变(HR=1.0,P>0.05)。The Human Brotein Atlas数据库分析显示,肺腺癌组织RFT2蛋白呈高表达。String及WebGestalt分析发现,与RFT2基因相关的蛋白主要位于细胞膜中,参与细胞的生物调节、代谢和蛋白、离子的结合过程。结论RFT2在肺腺癌组织中呈现高表达,与肺腺癌预后差相关,有可能成为肺腺癌重要治疗靶点。展开更多
目的 探讨分离酶(ESPL1)基因在卵巢癌中的表达及意义。方法 利用GEPIA数据库,对比相应正常组织,分析ESPL1在泛癌及卵巢癌中的表达。运用The Human Protein Atlas数据库,分析ESPL1蛋白在卵巢及卵巢癌组织中表达及定位;应用String数据库绘...目的 探讨分离酶(ESPL1)基因在卵巢癌中的表达及意义。方法 利用GEPIA数据库,对比相应正常组织,分析ESPL1在泛癌及卵巢癌中的表达。运用The Human Protein Atlas数据库,分析ESPL1蛋白在卵巢及卵巢癌组织中表达及定位;应用String数据库绘制ESPL1基因的相关蛋白网络图,并进行基因功能富集分析。使用Kaplan-Meier Plotter网站,对ESPL1表达影响不同临床特征患者预后指标及化疗药物疗效进行分析。结果 ESPL1在14种恶性肿瘤中表达明显上调,而在食管癌中表达量下调;与正常卵巢组织相比,在卵巢癌中ESPL1基因在mRNA及蛋白质水平的表达显著升高,在卵巢癌中表达定位于细胞膜或浆及核中。与ESPL1基因相互作用蛋白有SMC3、KIF11、PTTG1等10个,主要富集在细胞周期、卵母细胞减数分裂等信号通路。Kaplan-Meier生存分析显示,ESPL1高表达的卵巢癌患者总生存时间明显短于ESPL1低表达者,且临床I+II期患者总生存期较短(P<0.05),其它期别及病理分级的患者预后无差异;应用多西他赛单药组中,ESPL1高表达组较低表达组总生存期下降,有显著差异(P<0.05),而在铂类、紫杉醇、泰素、吉西他滨、拓扑替康单药治疗的患者中,两组间无显著性差异。结论 ESPL1基因在多种肿瘤组织及卵巢癌组织中高表达;其相互作用的网络蛋白主要富集在细胞周期信号通路;高表达ESPL1基因的卵巢癌患者预后差,特别是早期卵巢癌患者,化疗药物不宜选择多西他赛。该基因也许可作为卵巢癌预后及一线化疗药物选择潜在参考指标。展开更多
文摘目的:通过Oncomine数据库分析弥漫大B细胞淋巴瘤(Diffuse large B-cell lymphoma,DLBCL)中EGR1基因表达及意义,为DLBCL的治疗提供新的靶标。方法:在Oncomine及GEPIA数据库中分析EGR1的表达及其与DLBCL患者预后之间的关系。结果:与正常样本中的表达相比,EGR1在DLBCL中高表达(P<0.05),且在ABC型DLBCL中的表达显著高于GCB中的表达(P<0.05)。GEPIA数据库中EGR1高表达患者120个月内生存率显著低于低表达患者(P<0.05)。结论:EGR1在DLBCL组织中高表达且与DLBCL患者预后有关,该研究可为DLBCL疾病及药物的开发提供理论依据。
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 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.
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.
文摘目的探讨核黄素转运体2(RFT2)在肺腺癌中的表达、预后意义及其生物学功能。方法检索GEPIA数据库中有关肺腺癌的数据,分析肺腺癌组织与癌旁组织中RFT2 mRNA表达的差异。采用Kaplan-Meier方法分析RFT2高、低表达组肺腺癌患者总生存时间(OS)、无病进展生存时间(DFS)的差异。利用The Human Protein Atlas分析肺腺癌组织和正常肺组织中RFT2蛋白表达的差异。通过String和WebGestalt数据库分析与RFT2表达相关的蛋白及其生物学功能。结果肺腺癌组织中RFT2 mRNA的表达水平明显高于正常肺组织,差异有统计学意义(P<0.01)。不同分期肺腺癌组织中RFT2 mRNA表达比较差异无统计学意义(P>0.05)。RFT2 mRNA高表达患者OS缩短(HR=1.4,P<0.05),DFS无明显改变(HR=1.0,P>0.05)。The Human Brotein Atlas数据库分析显示,肺腺癌组织RFT2蛋白呈高表达。String及WebGestalt分析发现,与RFT2基因相关的蛋白主要位于细胞膜中,参与细胞的生物调节、代谢和蛋白、离子的结合过程。结论RFT2在肺腺癌组织中呈现高表达,与肺腺癌预后差相关,有可能成为肺腺癌重要治疗靶点。
文摘目的 探讨分离酶(ESPL1)基因在卵巢癌中的表达及意义。方法 利用GEPIA数据库,对比相应正常组织,分析ESPL1在泛癌及卵巢癌中的表达。运用The Human Protein Atlas数据库,分析ESPL1蛋白在卵巢及卵巢癌组织中表达及定位;应用String数据库绘制ESPL1基因的相关蛋白网络图,并进行基因功能富集分析。使用Kaplan-Meier Plotter网站,对ESPL1表达影响不同临床特征患者预后指标及化疗药物疗效进行分析。结果 ESPL1在14种恶性肿瘤中表达明显上调,而在食管癌中表达量下调;与正常卵巢组织相比,在卵巢癌中ESPL1基因在mRNA及蛋白质水平的表达显著升高,在卵巢癌中表达定位于细胞膜或浆及核中。与ESPL1基因相互作用蛋白有SMC3、KIF11、PTTG1等10个,主要富集在细胞周期、卵母细胞减数分裂等信号通路。Kaplan-Meier生存分析显示,ESPL1高表达的卵巢癌患者总生存时间明显短于ESPL1低表达者,且临床I+II期患者总生存期较短(P<0.05),其它期别及病理分级的患者预后无差异;应用多西他赛单药组中,ESPL1高表达组较低表达组总生存期下降,有显著差异(P<0.05),而在铂类、紫杉醇、泰素、吉西他滨、拓扑替康单药治疗的患者中,两组间无显著性差异。结论 ESPL1基因在多种肿瘤组织及卵巢癌组织中高表达;其相互作用的网络蛋白主要富集在细胞周期信号通路;高表达ESPL1基因的卵巢癌患者预后差,特别是早期卵巢癌患者,化疗药物不宜选择多西他赛。该基因也许可作为卵巢癌预后及一线化疗药物选择潜在参考指标。
