Wu Yue, Wei Xian, Feng Huan, Hu Bintao, Liu Bo, Luan Yang, Ruan Yajun, Liu Xiaming, Liu Zhuo, Wang Shaogang, Liu Jihong, Wang Tao
Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Front Genet. 2021 Jan 7;11:617872. doi: 10.3389/fgene.2020.617872. eCollection 2020.
RNA binding proteins (RBPs) play a key role in post-transcriptional gene regulation. They have been shown to be dysfunctional in a variety of cancers and are closely related to the occurrence and progression of cancers. However, the biological function and clinical significance of RBPs in clear cell renal carcinoma (ccRCC) are unclear. In our current study, we downloaded the transcriptome data of ccRCC patients from The Cancer Genome Atlas (TCGA) database and identified differential expression of RBPs between tumor tissue and normal kidney tissue. Then the biological function and clinical value of these RBPs were explored by using a variety of bioinformatics techniques. We identified a total of 40 differentially expressed RBPs, including 10 down-regulated RBPs and 30 up-regulated RBPs. Eight RBPs (, and ) and nine RBPs (, and ) were identified as prognostic related to overall survival (OS) and disease-free survival (DFS), respectively, and prognostic models for OS and DFS were constructed based on these RBPs. Further analysis showed that OS and DFS were worse in high-risk group than in the low-risk group. The area under the receiver operator characteristic curve of the model for OS was 0.702 at 3 years and 0.726 at 5 years in TCGA cohort and 0.783 at 3 years and 0.795 at 5 years in E-MTAB-1980 cohort, showing good predictive performance. Both models have been shown to independently predict the prognosis of ccRCC patients. We also established a nomogram based on these prognostic RBPs for OS and performed internal validation in the TCGA cohort, showing an accurate prediction of ccRCC prognosis. Stratified analysis showed a significant correlation between the prognostic model for OS and ccRCC progression.
RNA结合蛋白（RBPs）在转录后基因调控中起关键作用。它们已被证明在多种癌症中功能失调，且与癌症的发生和进展密切相关。然而，RBPs在肾透明细胞癌（ccRCC）中的生物学功能和临床意义尚不清楚。在我们当前的研究中，我们从癌症基因组图谱（TCGA）数据库下载了ccRCC患者的转录组数据，并鉴定了肿瘤组织和正常肾组织之间RBPs的差异表达。然后，通过使用多种生物信息学技术探索了这些RBPs的生物学功能和临床价值。我们总共鉴定出40种差异表达的RBPs，包括10种下调的RBPs和30种上调的RBPs。分别鉴定出8种RBPs（……）和9种RBPs（……）与总生存期（OS）和无病生存期（DFS）的预后相关，并基于这些RBPs构建了OS和DFS的预后模型。进一步分析表明，高风险组的OS和DFS比低风险组更差。在TCGA队列中，OS模型的受试者工作特征曲线下面积在3年时为0.702，5年时为0.726；在E-MTAB-1980队列中，3年时为0.783，5年时为0.795，显示出良好的预测性能。这两种模型均已被证明可独立预测ccRCC患者的预后。我们还基于这些用于OS的预后RBPs建立了列线图，并在TCGA队列中进行了内部验证，显示出对ccRCC预后的准确预测。分层分析表明，OS预后模型与ccRCC进展之间存在显著相关性。
