Department of Urology, Tianjin Medical University General Hospital, Tianjin, China.
Department of Urology, Shanxian Central Hospital, Heze, Shandong, China.
Medicine (Baltimore). 2024 Sep 27;103(39):e39874. doi: 10.1097/MD.0000000000039874.
PANoptosis has been shown to play an important role in tumorigenesis and gain more attention. Yet, the prognostic significance of PANoptosis-related genes has not been investigated more in clear cell renal cell carcinoma (ccRCC). The aim of this research was designed to identify and create a signature of PANoptosis-related genes which was expected to predict prognosis of ccRCC more effectively. The transcriptome data and clinical information were collected from The Cancer Genome Atlas database and the Gene Expression Omnibus database. Optimal differentially expressed PANoptosis-related genes, which were closely associated with prognosis and employed to construct a risk score, were extracted by univariate Cox analysis, least absolute shrinkage and selection operator Cox regression and multivariate Cox analysis. We performed Kaplan-Meier survival analysis and time-dependent receiver operating characteristic curves to complete this process. By adopting univariate and multivariate analysis, the constructed risk score was assessed to verify whether it could be taken as an independent contributor for prognosis. Moreover, we created a nomogram in order to predict overall survival (OS) of ccRCC. Five differentially expressed PANoptosis-related genes were screened out and used to construct a risk score. Our results showed that ccRCC patients with high risk score had a poor prognosis and shorter OS. The results of Kaplan-Meier curves and the area under the receiver operating characteristic curves of 1-, 3-, and 5-year OS indicated that the prediction performance was satisfactory. Additionally, the risk model could be taken as an independent prognostic factor in training and validation cohorts. The nomogram exhibited excellent reliability in predicting OS, which was validated by calibration curves. We identified 5 PANoptosis-related genes, which were used to construct a risk score and a nomogram for prognostic prediction with reliable predictive capability. The present study may provide new potential therapeutic targets and precise treatment strategies for ccRCC.
细胞焦亡与肿瘤的发生发展密切相关，受到越来越多的关注。然而，细胞焦亡相关基因在透明细胞肾细胞癌（ccRCC）中的预后意义尚不清楚。本研究旨在鉴定和构建一个细胞焦亡相关基因特征，以期更有效地预测 ccRCC 的预后。从癌症基因组图谱（TCGA）数据库和基因表达综合数据库（GEO）中收集转录组数据和临床信息。通过单因素 Cox 分析、最小绝对收缩和选择算子 Cox 回归和多因素 Cox 分析，提取与预后密切相关并用于构建风险评分的最佳差异表达的细胞焦亡相关基因。我们进行 Kaplan-Meier 生存分析和时间依赖的受试者工作特征曲线来完成这个过程。通过采用单因素和多因素分析，评估构建的风险评分是否可以作为独立的预后因素。此外，我们创建了一个列线图，以预测 ccRCC 的总生存期（OS）。筛选出 5 个差异表达的细胞焦亡相关基因，用于构建风险评分。结果表明，风险评分高的 ccRCC 患者预后不良，OS 更短。Kaplan-Meier 曲线和 1、3、5 年 OS 的受试者工作特征曲线下面积的结果表明，预测性能令人满意。此外，该风险模型可作为训练和验证队列中独立的预后因素。列线图在预测 OS 方面表现出良好的可靠性，校准曲线也验证了这一点。我们确定了 5 个细胞焦亡相关基因，用于构建风险评分和列线图，以进行具有可靠预测能力的预后预测。本研究可能为 ccRCC 提供新的潜在治疗靶点和精确的治疗策略。
