Wang Yunchao, Zhao Yihan, Liu Qing, Yang Jiwei, Xu Zhipeng, Du Wenzhi, Tang Guanbao, Zhang Chuanpai, Si Xiaoqing, Wang Jianning
Department of Urology, the First Affiliated Hospital of Shandong First Medical University, Jinan, China.
Department of Medical Ultrasound, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Transl Cancer Res. 2024 Oct 31;13(10):5178-5189. doi: 10.21037/tcr-23-2367. Epub 2024 Oct 29.
Bladder cancer is the most common malignancy of the urinary tract and one of the most common cancers in the world. Cuproptosis is a novel type of cell death associated with tumorigenesis. In this study, we assessed the correlation between cuproptosis-related genes and tumorigenesis. Moreover, we constructed a prognostic signature.
Pearson correlation analysis and univariate Cox regression were utilized to extract cuproptosis-related long non-coding RNAs (lncRNAs) predicting prognosis in The Cancer Genome Atlas (TCGA) database. The least absolute shrinkage and selection operator (LASSO) Cox regression was utilized to establish a cuproptosizs-related prognostic signature. A nomogram signature was generated to predict individual survival.
We obtained 19 cuproptosis-related genes and 14 prognostic cuproptosis-related lncRNAs. We constructed a seven-prognostic risk signature. Time-dependent receiver operating characteristic (ROC) curves demonstrated good predictive power (1-, 3-, and 5-year survival rates of 0.711, 0.673, and 0.684, respectively). The high-risk group reported a worse prognosis than the low-risk group, and the risk signature was identified as an independent factor. The biological process of risk-related genes primarily involved tumorigenesis and migration. The high-risk group expressed high chemokines and T cell inhibition and low antigen-presenting cells.
Cuproptosis-related lncRNAs are central to tumorigenesis, providing a novel therapeutic target for patients with bladder cancer. We constructed an individualized predictive signature based on cuproptosis-related lncRNAs.
膀胱癌是泌尿系统最常见的恶性肿瘤，也是全球最常见的癌症之一。铜死亡是一种与肿瘤发生相关的新型细胞死亡方式。在本研究中，我们评估了铜死亡相关基因与肿瘤发生之间的相关性。此外，我们构建了一个预后特征。
利用Pearson相关性分析和单变量Cox回归在癌症基因组图谱（TCGA）数据库中提取预测预后的铜死亡相关长链非编码RNA（lncRNA）。利用最小绝对收缩和选择算子（LASSO）Cox回归建立铜死亡相关的预后特征。生成列线图特征以预测个体生存情况。
我们获得了19个铜死亡相关基因和14个与预后相关的铜死亡lncRNA。我们构建了一个包含七个预后因素的风险特征。时间依赖性受试者工作特征（ROC）曲线显示出良好的预测能力（1年、3年和5年生存率分别为0.711、0.673和0.684）。高危组的预后比低危组差，且风险特征被确定为一个独立因素。与风险相关基因的生物学过程主要涉及肿瘤发生和迁移。高危组表达高水平的趋化因子和T细胞抑制因子，以及低水平的抗原呈递细胞。
铜死亡相关lncRNA是肿瘤发生的核心，为膀胱癌患者提供了一个新的治疗靶点。我们基于铜死亡相关lncRNA构建了一个个体化的预测特征。
