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首页> 外文期刊>Frontiers in Molecular Biosciences >Construction and External Validation of a Ferroptosis-Related Gene Signature of Predictive Value for the Overall Survival in Bladder Cancer
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Construction and External Validation of a Ferroptosis-Related Gene Signature of Predictive Value for the Overall Survival in Bladder Cancer

机译:膀胱癌整体存活的预测价值与骨凋亡相关基因签名的构建与外部验证

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Purpose: To identify whether ferroptosis-related genes play predictive roles in bladder cancer patients and to develop a ferroptosis-related gene signature to predict overall survival outcomes. Materials and Methods: We downloaded the mRNA expression files and clinical data of 256 bladder samples from the GEO database and 430 bladder samples from the TCGA database. A multigene signature based on prognostic ferroptosis-related genes was constructed by least absolute shrinkage and selection operator Cox regression analysis in the GEO cohort. The TCGA cohort was used to validate the ferroptosis-related gene signature. Next, functional enrichment analysis, including both Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) analyses, was performed to elucidate the mechanism underlying the signature. The ssGSEA scores of 16 immune cells and 13 immune-related pathway activities between the high-risk and low-risk groups were also analysed in our study. Results: Thirty-three (67.3%) ferroptosis-related genes were differentially expressed between bladder tumour samples and nontumour samples in the GEO cohort. The intersection of prognostic ferroptosis-related genes and differentially expressed genes identified 4 prognostic targets, including ALOX5, FANCD2, HMGCR and FADS2. The least absolute shrinkage and selection operator Cox regression successfully built a 4-gene signature: risk score value = esum (each gene's normalized expression * each gene's coefficient). Univariate and multivariate Cox regression analyses were performed in both the GEO and TCGA cohorts to test the independent prognostic value of the 4-gene risk signature. Multivariate Cox regression analysis in the GEO cohort identified age (p 0.001), grade (p = 0.129) and risk score (p = 0.016) as independent prognostic predictors for overall survival. Multivariate Cox regression analysis in the TCGA cohort also identified age (p = 0.002), stage (p 0.001) and risk score (p = 0.006) as independent prognostic predictors for overall survival. The type II IFN response was determined to be significantly weakened in the high-risk group in both the GEO and TCGA cohorts. Conclusions: We successfully built a ferroptosis-related gene signature of significant predictive value for bladder cancer. These results suggest a novel research direction for targeted therapy of bladder cancer in the future.
机译:目的:鉴定骨凋亡相关基因是否在膀胱癌患者中发挥预测作用,并开发与脱裂病相关基因签名以预测整体存活结果。材料和方法:从地理数据库和430个膀胱样本下载了MRNA表达文件和256个膀胱样本的临床数据。基于预后性脱叶菌病相关基因的多烯签名由Geo Cox中的至少绝对收缩和选择操作员Cox回归分析构成。 TCGA队列用于验证与脱裂病相关的基因签名。接下来,进行功能性富集分析,包括基因和基因组(Kegg)和基因本体论(GO)分析的京都百科全书(GEGG)和基因本体分析,以阐明签名的基础。在我们的研究中还分析了16种免疫细胞和13种免疫细胞和13个免疫相关途径活动的SSGSEA评分。结果:三十三(67.3%)的含有与膀胱肿瘤样品和地理群体中的膀胱肿瘤样品和Nontumour样品之间的差异表达相关的基因。预后性脱叶病相关基因和差异表达基因鉴定了4项预后靶标,包括Alox5,Fancd2,HMGCR和FADS2。绝对收缩和选择操作员Cox回归成功构建了4-基因签名:风险评分值= ESUM(每个基因的归一化表达*每个基因的系数)。在Geo和TCGA群体中进行单变量和多变量COX回归分析,以测试4-基因风险签名的独立预后值。 Muroiate Cox回归分析在Geo Cohort鉴定的年龄(P <0.001),等级(p = 0.129)和风险得分(p = 0.016)作为整体存活的独立预后预测因子。 TCGA队列中的多变量COX回归分析还鉴定了年龄(p = 0.002),阶段(P <0.001)和风险得分(P = 0.006),作为整体存活的独立预后预测因子。确定II型IFN响应在Geo和TCGA队列中的高风险组中显着削弱。结论:我们成功地建立了对膀胱癌的显着预测值的裂解盘相关基因签名。这些结果表明了未来膀胱癌靶向治疗的新型研究方向。

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