Department of Urology, Huai'an First People's Hospital, Nanjing Medical University, Huai'an, 223300, China.
World J Surg Oncol. 2022 May 10;20(1):148. doi: 10.1186/s12957-022-02618-x.
ccRCC is considered as the main subtype of RCC, which accounted for sixth deadliest cancer worldwide. Recently, ubiquitination has been reported to be closely involved in the progression of tumore. The purpose of this study was to identify the ubiquitination-associated genes and co-expressed lncRNAs on the prognosis of clear cell renal cell carcinoma (ccRCC) patients.
We downloaded 530 cases and the corresponding transcriptome profiling from The Cancer Genome Atlas (TCGA) database. We distinguished mRNA and lncRNA expression data from the transcriptome profiling and then extracted the expression of mRNAs that regulate protein ubiquitination. We obtained lncRNAs associated with protein ubiquitination regulation from the lncRNA data by gene co-expression analysis. Cox regression analysis of survival time, survival status, and lncRNA expression level was carried out, and a prognostic index (PI) was constructed.
The PI was established based on 8 prognostic lncRNAs that regulate protein ubiquitination and distinguish the high-risk group patients from all patients. Multivariate analysis indicated that this PI was an individualized clinical prognostic factor for patients with ccRCC. Regarding clinical characteristics, a ubiquitination-associated clinical-prognostic index (UCPI), containing 8 ubiquitination-related lncRNAs and age, was established and tested with AUC of 0.80.
We established a UCPI containing 8 lncRNAs related to protein ubiquitination. This UCPI may become an appropriate model to predict the prognosis in ccRCC patients and guide clinicians to adjust the follow-up regimen.
ccRCC 被认为是 RCC 的主要亚型,占全球第六大致命癌症。最近,泛素化被报道与肿瘤的进展密切相关。本研究旨在鉴定与 clear cell renal cell carcinoma (ccRCC) 患者预后相关的泛素化相关基因和共表达 lncRNA。
我们从 The Cancer Genome Atlas (TCGA) 数据库下载了 530 例和相应的转录组谱。我们从转录组谱中区分 mRNA 和 lncRNA 表达数据,然后提取调节蛋白质泛素化的 mRNA 表达。我们通过基因共表达分析从 lncRNA 数据中获得与蛋白质泛素化调节相关的 lncRNA。对生存时间、生存状态和 lncRNA 表达水平进行 Cox 回归分析,并构建预后指数 (PI)。
该 PI 基于 8 个调节蛋白质泛素化的预后 lncRNA 建立,可将高风险组患者与所有患者区分开来。多变量分析表明,该 PI 是 ccRCC 患者个体化临床预后因素。关于临床特征,建立了包含 8 个与泛素化相关的 lncRNA 和年龄的泛素化相关临床预后指数 (UCPI),并通过 AUC 为 0.80 进行了测试。
我们建立了一个包含 8 个与蛋白质泛素化相关的 lncRNA 的 UCPI。该 UCPI 可能成为预测 ccRCC 患者预后并指导临床医生调整随访方案的合适模型。