Zhang Min, Du Gang, Li Zhengtian, Li Dehui, Li Weichao, Li Hening, Gao Xingxin, Tang Zhanhong
Department of Critical Care Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, People's Republic of China.
Department of Bone and Joint Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, People's Republic of China.
Int J Gen Med. 2022 Mar 8;15:2645-2667. doi: 10.2147/IJGM.S348945. eCollection 2022.
Oxidative stress (OS) responses have been linked to oncogenesis and tumor progression and have recently been regarded as a potential strategy for tumor therapy. However, OS-related therapeutic targets have not been identified to date in the bladder cancer (BC).
The mRNA expression and clinical data of BC were downloaded from the public database. Prognostic risk score signature was constructed using LASSO Cox regression analysis. External validation was performed in GSE15307 cohort. ESTIMATE, CIBERSORT, and ssGSEA algorithm were used to analyze immune cell infiltration and immune microenvironment. Next, functional enrichment analysis was performed to elucidate the mechanism underlying the signature. Additionally, we performed a nomogram to forecast the survival rate of individual BC patients.
An OS-related genes (OSRGs) signature was constructed. Overall survival was lower in the high-risk group than in the low-risk group, according to survival analyses. The area under the curve (AUC) of ROC curves further validated the prognostic signature's strong prediction performance in these two cohorts. The risk score was verified as an independent risk factor for BC by independent prognostic analysis. Moreover, as compared to TNM stage alone, a nomogram that integrated the risk score with TNM stage showed a much superior predictive value. Immune infiltration and tumor microenvironment studies indicated that immune cells and functions may play a significant role in carcinogenesis and development. The levels of expression of prognostic genes were shown to be substantially linked with drug sensitivity.
We developed a novel OSRGs signature for predicting overall survival and impacting the immune status in patients with BC. New nomogram can help clinicians predict the survival rate of BC patients. These findings shed new light on the potential usage of OSRGs signature in BC patients.
氧化应激(OS)反应与肿瘤发生和肿瘤进展相关,最近被视为肿瘤治疗的一种潜在策略。然而,迄今为止,膀胱癌(BC)中尚未确定与OS相关的治疗靶点。
从公共数据库下载BC的mRNA表达和临床数据。使用LASSO Cox回归分析构建预后风险评分特征。在GSE15307队列中进行外部验证。使用ESTIMATE、CIBERSORT和ssGSEA算法分析免疫细胞浸润和免疫微环境。接下来,进行功能富集分析以阐明该特征背后的机制。此外,我们制作了列线图来预测个体BC患者的生存率。
构建了一个与OS相关基因(OSRGs)的特征。根据生存分析,高风险组的总生存率低于低风险组。ROC曲线的曲线下面积(AUC)进一步验证了该预后特征在这两个队列中的强大预测性能。通过独立预后分析,风险评分被证实是BC的独立危险因素。此外,与单独的TNM分期相比,将风险评分与TNM分期相结合的列线图显示出更高的预测价值。免疫浸润和肿瘤微环境研究表明,免疫细胞和功能可能在致癌作用和发展中起重要作用。预后基因的表达水平显示与药物敏感性密切相关。
我们开发了一种新的OSRGs特征,用于预测BC患者的总生存率并影响其免疫状态。新的列线图可以帮助临床医生预测BC患者的生存率。这些发现为OSRGs特征在BC患者中的潜在应用提供了新的思路。