Department of Urology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430014, China.
Dis Markers. 2020 Feb 26;2020:8352809. doi: 10.1155/2020/8352809. eCollection 2020.
Renal cell carcinoma (RCC), which was one of the most common malignant tumors in urinary system, had gradually increased incidence and mortality in recent years. Although significant advances had been made in molecular and biology research on the pathogenesis of RCC, effective treatments and prognostic indicators were still lacking. In order to predict the prognosis of RCC better, we identified 17 genes that were associated with the overall survival (OS) of RCC patients from The Cancer Genome Atlas (TCGA) dataset and a 17-gene signature was developed. Through SurvExpress, we analyzed the expression differences of the 17 genes and their correlation with the survival of RCC patients in five datasets (ZHAO, TCGA, KIPAN, KIRC, and KIRP), and then evaluated the survival prognostic significance of the 17-gene signature for RCC. Our results showed that the 17-gene signature had a predictive prognostic value not only in single pathologic RCC, but also in multiple pathologic types of RCC. In conclusion, the 17-gene signature model was related to the survival of RCC patients and could help predict the prognosis with significant clinical implications.
肾细胞癌（RCC）是泌尿系统最常见的恶性肿瘤之一，近年来其发病率和死亡率逐渐上升。尽管在 RCC 的发病机制的分子和生物学研究方面取得了重大进展，但仍缺乏有效的治疗方法和预后指标。为了更好地预测 RCC 的预后，我们从癌症基因组图谱（TCGA）数据集鉴定了与 RCC 患者总生存期（OS）相关的 17 个基因，并开发了一个 17 基因特征。通过 SurvExpress，我们分析了五个数据集（ZHAO、TCGA、KIPAN、KIRC 和 KIRP）中 17 个基因的表达差异及其与 RCC 患者生存的相关性，然后评估了 17 基因特征对 RCC 的生存预后意义。结果表明，该 17 基因特征不仅在单一病理 RCC 中具有预测预后价值，而且在多种病理类型的 RCC 中也具有预测预后价值。总之，该 17 基因特征模型与 RCC 患者的生存有关，可帮助预测预后，具有重要的临床意义。
