Abstract

BACKGROUND:

sBladder urothelial carcinoma is the most prevalent type of bladder cancer, characterized by drug resistance, high recurrence rate, and unfavorable prognosis. Ferroptosis is a newly discovered type of non-apoptotic cell death, which has been reported to be strongly correlated with tumor occurrence and development.

OBJECTIVE:

In this study, we characterized ferroptosis-specific biomarkers to elucidate the association between ferroptosis-related genes (FRGs) and bladder urothelial carcinoma.

METHODS:

The TCGA and GEO database were adopted to obtain data and corresponding clinicopathological information. Univariate and multivariate cox regression were performed to establish a ferroptosis-related model. Besides, the KM plot visualized prognosis between high risk and low risk groups. Moreover, cBioportal platform was used to gather information on genetic alteration and DNA methylation of hub FRGs in BLCA patients. Additionally, the GSEA software was used to detect the difference in gene expression between high-risk and low-risk subgroups. Finally,

RESULTS:

Six ferroptosis-related genes were identified to be highly correlated with overall survival. Besides, we explored the genetic variations of these FRGs, as well as the correlation between FRG expression and copy number values. Additionally, the DNA methylation status of these FRGs was determined. Moreover, we constructed a ferroptosis risk model with the six FRGs to predict the prognosis of BLCA. The results demonstrated that a higher risk score indicated an unfavorable prognosis. The ferroptosis signature was associated with clinical and molecular characteristics and could be regarded as an independent prognostic factor for BLCA patients.

CONCLUSIONS:

In summary, we established and verified a ferroptosis risk model which had the potential to independently predict the prognosis of bladder urothelial carcinoma.

中文翻译：

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用于预测膀胱尿路上皮癌预后的新型铁死亡相关基因特征的鉴定

摘要

背景：

s膀胱尿路上皮癌是最常见的膀胱癌类型，具有耐药性、复发率高、预后不良等特点。铁死亡是一种新发现的非凋亡细胞死亡类型，据报道与肿瘤的发生发展密切相关。

客观的：

在这项研究中，我们对铁死亡特异性生物标志物进行了表征，以阐明铁死亡相关基因 (FRG) 与膀胱尿路上皮癌之间的关联。

方法：

采用TCGA和GEO数据库获取数据和相应的临床病理信息。进行单变量和多变量 cox 回归以建立铁死亡相关模型。此外，KM 图可视化了高风险和低风险组之间的预后。此外，cBioportal 平台用于收集有关 BLCA 患者中枢 FRG 的遗传改变和 DNA 甲基化的信息。此外，GSEA 软件用于检测高风险和低风险亚组之间基因表达的差异。最后，

结果：

确定了六个与铁死亡相关的基因与总生存率高度相关。此外，我们探索了这些 FRG 的遗传变异，以及 FRG 表达与拷贝数值之间的相关性。此外，还确定了这些 FRG 的 DNA 甲基化状态。此外，我们构建了具有六个 FRG 的铁死亡风险模型来预测 BLCA 的预后。结果表明，较高的风险评分表明预后不良。铁死亡特征与临床和分子特征相关，可被视为 BLCA 患者的独立预后因素。

结论：

总之，我们建立并验证了铁死亡风险模型，该模型具有独立预测膀胱尿路上皮癌预后的潜力。