Department of Urology, Yantaishan Hospital, Yantai, Shandong , P.R. China.
Bioengineered. 2021 Dec;12(1):6275-6285. doi: 10.1080/21655979.2021.1971022.
This study aimed to establish a lncRNA-based signature for predicting the prognosis of patients with high stage and grade renal cell carcinoma (RCC). According to the Surveillance, Epidemiology, and End Results (SEER) database, sex, age, grade, stage, surgery, chemotherapy, radiation, tumor size, and marital status were the independent prognostic factors for RCC and also had significant correlations with the overall survival through Cox univariate and multivariate analyses. Noticeably, among these influencing factors, the histological classification of undifferentiated group and pathological stage IV had the greatest prognostic risks for RCC patients. Furthermore, based on the samples at stage IV and histological grade G4 from The Cancer Genome Atlas (TCGA) portal, 9 key lncRNAs, including KIAA2012, CCNT2-AS1, ITPKB-AS1, TBX2-AS1, NUTM2A-AS1, LINC02522, LINC02384, LINC01559, and LINC00865 were identified and a prognostic signature was constructed by Lasso analysis and Cox regression model. The Kaplan-Meier analysis suggested that patients at stage IV and histological grade of G4 in high risk score group had a worse overall survival than that in low risk score group. The following receiver operating characteristic curve (ROC) curves also showed that this signature possesses a better predictive power performance. Pathway enrichment analysis discovered that 9 lncRNAs held potential roles in cell division, cell cycle, DNA damage and cytokines levels in RCC. This work indicates that the established 9-lncRNA signature has a good capacity in predicting the prognosis of RCC patients with stage IV and histological grade of G4, and may be helpful for guiding the treatment strategies for RCC patients.
本研究旨在建立基于长链非编码 RNA（lncRNA）的signature，以预测高分期和高分级肾细胞癌（RCC）患者的预后。根据监测、流行病学和最终结果（SEER）数据库，性别、年龄、分级、分期、手术、化疗、放疗、肿瘤大小和婚姻状况是 RCC 的独立预后因素，通过 Cox 单因素和多因素分析也与总生存时间显著相关。值得注意的是，在这些影响因素中，未分化组和病理分期 IV 的组织学分类对 RCC 患者的预后风险最大。此外，基于 TCGA 数据库中分期为 IV 期和组织学分级为 G4 的样本，鉴定出 9 个关键 lncRNA，包括 KIAA2012、CCNT2-AS1、ITPKB-AS1、TBX2-AS1、NUTM2A-AS1、LINC02522、LINC02384、LINC01559 和 LINC00865，并通过 Lasso 分析和 Cox 回归模型构建了预后 signature。Kaplan-Meier 分析表明，高危评分组的分期为 IV 期和组织学分级为 G4 的患者的总生存率低于低危评分组。以下受试者工作特征曲线（ROC）曲线也表明该 signature 具有更好的预测能力。通路富集分析发现，9 个 lncRNA 在 RCC 中可能在细胞分裂、细胞周期、DNA 损伤和细胞因子水平中发挥作用。这项工作表明，建立的 9-lncRNA signature 可以很好地预测分期为 IV 期和组织学分级为 G4 的 RCC 患者的预后，可能有助于指导 RCC 患者的治疗策略。
