Risk Score Model of Aging-Related Genes for Bladder Cancer and Its Application in Clinical Prognosis.

IF 2.8 Q2 ONCOLOGY
JCO Clinical Cancer Informatics Pub Date : 2025-08-01 Epub Date: 2025-08-08 DOI:10.1200/CCI-25-00019
Kun Lu, Liu Chao, Jin Wang, Xiangyu Wang, Longjun Cai, Jianjun Zhang, Shaoqi Zhang
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Abstract

Purpose: Bladder cancer (BLCA) ranks as the tenth most common malignancy worldwide, with rising incidence and mortality rates. Owing to its molecular and clinical heterogeneity, BLCA is associated with high rates of recurrence and metastasis after surgery, contributing to a poor 5-year survival rate. There is a pressing need for highly sensitive and specific molecular biomarkers to enable early identification of high-risk patients, guide clinical management, and improve patient outcomes. This study aimed to develop a prognostic model on the basis of aging-related genes (ARGs) to evaluate survival outcomes and immunotherapy responsiveness in patients with BLCA, and to further explore its relevance to the tumor immune microenvironment and drug sensitivity.

Materials and methods: Transcriptomic and clinical data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus were used to construct a 12-gene ARG-based prognostic signature through LASSO and Cox regression analyses. Patients were stratified into high-risk and low-risk groups according to the median risk score. Kaplan-Meier survival curves, receiver operating characteristic analyses, and nomograms were used to assess the predictive value of the model. Univariate and multivariate Cox regression analyses were conducted to determine its prognostic independence.

Results: Twelve ARGs were identified. Patients in the low-risk group exhibited significantly better overall survival (P < .0001). In the TCGA cohort, the model yielded AUC values ranging from 0.772 to 0.794 across 1-5 years. Cox regression confirmed the ARG score as an independent prognostic indicator. External validation using the GSE32894 data set supported its clinical reliability. The ARG signature was also associated with immune cell infiltration and predicted chemosensitivity.

Conclusion: The ARG-based risk score independently predicts clinical prognosis in BLCA and correlates with immune microenvironment characteristics, offering potential value in guiding personalized treatment strategies.

膀胱癌衰老相关基因风险评分模型及其在临床预后中的应用
目的:膀胱癌(BLCA)是世界上第十大最常见的恶性肿瘤,发病率和死亡率都在上升。由于其分子和临床异质性,BLCA术后复发转移率高,导致其5年生存率较低。迫切需要高灵敏度和特异性的分子生物标志物,以便早期识别高危患者,指导临床管理,改善患者预后。本研究旨在建立基于衰老相关基因(aging-related genes, ARGs)的预后模型,评估BLCA患者的生存结局和免疫治疗反应性,并进一步探讨其与肿瘤免疫微环境和药物敏感性的相关性。材料和方法:利用来自The Cancer Genome Atlas (TCGA)和Gene Expression Omnibus的转录组学和临床数据,通过LASSO和Cox回归分析构建基于arg的12个基因预后特征。根据中位风险评分将患者分为高危组和低危组。使用Kaplan-Meier生存曲线、受试者工作特征分析和诺图来评估模型的预测价值。进行单因素和多因素Cox回归分析以确定其预后独立性。结果:共鉴定出12种ARGs。低危组患者的总生存率显著提高(P < 0.0001)。在TCGA队列中,该模型在1-5年间的AUC值为0.772至0.794。Cox回归证实ARG评分是一个独立的预后指标。使用GSE32894数据集的外部验证支持其临床可靠性。ARG标记也与免疫细胞浸润和预测化学敏感性有关。结论:基于arg的风险评分能够独立预测BLCA的临床预后,并与免疫微环境特征相关,对指导BLCA的个性化治疗策略具有潜在价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.20
自引率
4.80%
发文量
190
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