Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, China; The Institute of Urology, Anhui Medical University, Hefei, China.
The Ministry of Education Key Laboratory of Laboratory Medical Diagnostics, the College of Laboratory Medicine, Chongqing Medical University, 400016, Chongqing, China.
Genomics. 2021 Jan;113(1 Pt 2):850-860. doi: 10.1016/j.ygeno.2020.10.016. Epub 2020 Oct 22.
RNA binding proteins (RBPs) dysregulation is involved in the processes of various tumors. However, the roles of RBPs in clear cell renal cell carcinoma (ccRCC) remain poorly understand. In present study, we first performed consensus clustering and identified two clusters, of which cluster 2 was closely correlated with the malignancy of ccRCC. Differentially expressed RBPs between normal and tumor tissues were obtained, comprising 71 up-regulated and 44 down-regulated ones. Then, ten hub genes were selected and validated using The Human Protein Atlas database and receiver operating characteristic curves, showing good diagnostic value for cancers. Besides, we identified ten RBPs with the most useful prognostic values, and were used to construct a risk score model. The model could be used to stratify patients with different prognosis and phenotype distributions. The model showed good performance and can be used as a complementation for clinical factors to guide clinical practice in the future.
RNA 结合蛋白 (RBP) 失调参与了各种肿瘤的发生过程。然而，RBP 在透明细胞肾细胞癌 (ccRCC) 中的作用仍知之甚少。在本研究中，我们首先进行了共识聚类分析，鉴定出两个聚类，其中聚类 2 与 ccRCC 的恶性程度密切相关。从正常组织和肿瘤组织中获得了差异表达的 RBP，包括 71 个上调和 44 个下调的 RBP。然后，我们使用 The Human Protein Atlas 数据库和受试者工作特征曲线验证了 10 个关键基因，它们对癌症具有良好的诊断价值。此外，我们鉴定了 10 个具有最有用预后价值的 RBP，并用于构建风险评分模型。该模型可用于分层不同预后和表型分布的患者。该模型表现出良好的性能，可以作为临床因素的补充，以指导未来的临床实践。
