Objective:Copper death-induced tumor cell death and immune checkpoint blockade therapy are highly selective.Combining their advantages and understanding their characteristics in bladder cancer is very important for th...Objective:Copper death-induced tumor cell death and immune checkpoint blockade therapy are highly selective.Combining their advantages and understanding their characteristics in bladder cancer is very important for the development of new targeted therapy.The identification of bladder cancer by screening the characteristic genes of copper death-related immune checkpoints provide a theoretical basis for the selection of adjuvant treatment options and the application of new targets.Methods:The expression samples of normal bladder tissue and bladder cancer were obtained from TCGA and GEO databases,and 13 cop-per death genes and 79 immune checkpoint genes were extracted from previous studies.The mRNA expression of prognostic genes was verified by qPCR.The copper death-related immune checkpoint genes were screened by correlation analysis to construct a prognostic model,and the differences in the efficacy of immunotherapy and chemotherapy between the high-risk group and the low-risk group were evaluated.Results:A prognostic model consisting of BTNL9,CD160,TNFRSF14 and TNFRSF18 was constructed.Its reliable predictive ability was proved in both databases,and qPCR showed that the expression levels of the four genes were significantly different between the normal group and the cancer cell group.The effect of immunotherapy in the lowrisk group was better than that in the high-risk group.Patients in the high-risk group had better chemotherapy efficacy.Conclusion:The copper death-related immune checkpoint gene model can accurately predict the prognosis of patients.Drug and immune analysis provide a basis for clinical treatment,and the discovery of potential targets provides a new solution for clinical decision-making.展开更多
目的基于美国癌症肿瘤基因图谱(the cancer genome atlas,TCGA)数据库分析铜调节的细胞死亡相关基因与前列腺癌患者预后和免疫细胞浸润的关系。方法从TCGA数据库下载所有前列腺癌患者的基因数据,其中包括前列腺癌组织501例,正常组织52...目的基于美国癌症肿瘤基因图谱(the cancer genome atlas,TCGA)数据库分析铜调节的细胞死亡相关基因与前列腺癌患者预后和免疫细胞浸润的关系。方法从TCGA数据库下载所有前列腺癌患者的基因数据,其中包括前列腺癌组织501例,正常组织52例。运用R软件提取前列腺癌患者中铜调节的细胞死亡相关基因表达矩阵,进行差异分析、多因素回归分析筛选出预后基因,对预后基因进行生存分析,同时探讨预后相关基因与免疫细胞之间的相关性。结果甘氨酸裂解系统蛋白H(GCSH)与前列腺癌患者的预后显著相关,同时发现其与前列腺癌患者中的树突细胞、CD8^(+)T细胞、浆细胞也显著相关(P<0.05)。结论GCSH基因在前列腺癌的发生、发展中起重要作用,有望成为前列腺癌预后的标志物。展开更多
BACKGROUND Stomach adenocarcinoma(STAD)is one of the main reasons for cancer-related deaths worldwide.This investigation aimed to define the connection between STAD and Cuproptosis-related genes(CRGs).Cuproptosis is a...BACKGROUND Stomach adenocarcinoma(STAD)is one of the main reasons for cancer-related deaths worldwide.This investigation aimed to define the connection between STAD and Cuproptosis-related genes(CRGs).Cuproptosis is a newly identified form of mitochondrial cell death triggered by copper.AIM To explore the identification of potential biomarkers for STAD disease based on cuproptosis.METHODS A predictive model using Gene Ontology(GO),Least Absolute Shrinkage and Selection Operator(LASSO),Kyoto Encyclopedia of Genes and Genomes(KEGG),Gene Set Variation Analysis(GSVA),and Gene Set Enrichment Analysis analyzed gene interconnections,focusing on 3 copper-related genes and their expression in The Cancer Genome Atlas-STAD.Networks for mRNA-miRNA and mRNA-transcription factor interactions were constructed.The prognostic significance of CRG scores was evaluated using time-receiver operating characteristic,Kaplan-Meier curves,and COX regression analysis.Validation was conducted with datasets GSE26942,GSE54129,and GSE66229.Expression of copper-related differ-entially expressed genes was also analyzed in various human tissues and gastric cancer subpopulations using the human protein atlas.RESULTS Three significant genes(FDX1,LIAS,MTF1)were identified and selected via LASSO analysis to predict and classify individuals with STAD into high and low CRG score subgroups.These genes were down-regulated in both risk categories.GO and KEGG analyses highlighted their involvement mainly in the electron transport chain.After validating their differential expression,FDX1 emerged as the most accurate diagnostic marker for gastric cancer.Additionally,the RCircos package localized FDX1 on chromosome 11.CONCLUSION Our study revealed that FDX1 could be a potential biomarker and treatment target for gastric malignancy,providing new ideas for further scientific research.展开更多
基金Key Research Project of Sichuan Provincial Department of Science and Technology(No.23ZDYF1246)。
文摘Objective:Copper death-induced tumor cell death and immune checkpoint blockade therapy are highly selective.Combining their advantages and understanding their characteristics in bladder cancer is very important for the development of new targeted therapy.The identification of bladder cancer by screening the characteristic genes of copper death-related immune checkpoints provide a theoretical basis for the selection of adjuvant treatment options and the application of new targets.Methods:The expression samples of normal bladder tissue and bladder cancer were obtained from TCGA and GEO databases,and 13 cop-per death genes and 79 immune checkpoint genes were extracted from previous studies.The mRNA expression of prognostic genes was verified by qPCR.The copper death-related immune checkpoint genes were screened by correlation analysis to construct a prognostic model,and the differences in the efficacy of immunotherapy and chemotherapy between the high-risk group and the low-risk group were evaluated.Results:A prognostic model consisting of BTNL9,CD160,TNFRSF14 and TNFRSF18 was constructed.Its reliable predictive ability was proved in both databases,and qPCR showed that the expression levels of the four genes were significantly different between the normal group and the cancer cell group.The effect of immunotherapy in the lowrisk group was better than that in the high-risk group.Patients in the high-risk group had better chemotherapy efficacy.Conclusion:The copper death-related immune checkpoint gene model can accurately predict the prognosis of patients.Drug and immune analysis provide a basis for clinical treatment,and the discovery of potential targets provides a new solution for clinical decision-making.
文摘目的基于美国癌症肿瘤基因图谱(the cancer genome atlas,TCGA)数据库分析铜调节的细胞死亡相关基因与前列腺癌患者预后和免疫细胞浸润的关系。方法从TCGA数据库下载所有前列腺癌患者的基因数据,其中包括前列腺癌组织501例,正常组织52例。运用R软件提取前列腺癌患者中铜调节的细胞死亡相关基因表达矩阵,进行差异分析、多因素回归分析筛选出预后基因,对预后基因进行生存分析,同时探讨预后相关基因与免疫细胞之间的相关性。结果甘氨酸裂解系统蛋白H(GCSH)与前列腺癌患者的预后显著相关,同时发现其与前列腺癌患者中的树突细胞、CD8^(+)T细胞、浆细胞也显著相关(P<0.05)。结论GCSH基因在前列腺癌的发生、发展中起重要作用,有望成为前列腺癌预后的标志物。
基金Supported by The Medical and Health Research Project of Zhejiang Province,No.2021RC097.
文摘BACKGROUND Stomach adenocarcinoma(STAD)is one of the main reasons for cancer-related deaths worldwide.This investigation aimed to define the connection between STAD and Cuproptosis-related genes(CRGs).Cuproptosis is a newly identified form of mitochondrial cell death triggered by copper.AIM To explore the identification of potential biomarkers for STAD disease based on cuproptosis.METHODS A predictive model using Gene Ontology(GO),Least Absolute Shrinkage and Selection Operator(LASSO),Kyoto Encyclopedia of Genes and Genomes(KEGG),Gene Set Variation Analysis(GSVA),and Gene Set Enrichment Analysis analyzed gene interconnections,focusing on 3 copper-related genes and their expression in The Cancer Genome Atlas-STAD.Networks for mRNA-miRNA and mRNA-transcription factor interactions were constructed.The prognostic significance of CRG scores was evaluated using time-receiver operating characteristic,Kaplan-Meier curves,and COX regression analysis.Validation was conducted with datasets GSE26942,GSE54129,and GSE66229.Expression of copper-related differ-entially expressed genes was also analyzed in various human tissues and gastric cancer subpopulations using the human protein atlas.RESULTS Three significant genes(FDX1,LIAS,MTF1)were identified and selected via LASSO analysis to predict and classify individuals with STAD into high and low CRG score subgroups.These genes were down-regulated in both risk categories.GO and KEGG analyses highlighted their involvement mainly in the electron transport chain.After validating their differential expression,FDX1 emerged as the most accurate diagnostic marker for gastric cancer.Additionally,the RCircos package localized FDX1 on chromosome 11.CONCLUSION Our study revealed that FDX1 could be a potential biomarker and treatment target for gastric malignancy,providing new ideas for further scientific research.
