Wang Jiawu, Zhang Chengyao, He Weiyang, Gou Xin
Department of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Department of Oral Maxillofacial-Head and Neck Oncology, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Front Oncol. 2020 Jan 24;10:3. doi: 10.3389/fonc.2020.00003. eCollection 2020.
This study aims to explore the roles of 13 mA RNA methylation regulators in clear cell renal cell carcinoma (ccRCC), and identify a risk signature and prognostic values of mA RNA methylation regulators in ccRCC. RNA sequence data of ccRCC was obtained from The Cancer Genome Atlas (TCGA) database. Differentially expressed of 13 mA RNA methylation regulators in ccRCC stratified by different clinicopathological characteristics were unveiled using "limma" package in R version 3.6.0. Cox regression and LASSO analyses were conducted to identify the powerful independent prognostic factors in ccRCC associated with overall survival (OS). Protein-protein interaction (PPI) network and correlation analyses of the 13 mA RNA methylation regulators were performed using "STRING" and R package, respectively. Principal component analysis (PCA) was also done using R. In addition, gene ontology (GO), GSEA and Kyoto Encyclopedia of Genes and Genomes pathways were used to functionally annotate the differentially expressed genes in different subgroups. Most of the 13 mA RNA methylation regulators are differentially expressed in ccRCC tissue samples stratified by different clinicopathological characteristics in 537 patients. Next, a risk signature for predicting prognosis of ccRCC patients, was established based on two powerful independent prognostic mA RNA methylation regulators (METTL14 and METTL3). Then, two subgroups (cluster1 and 2) were identified by consensus clustering to the two powerful independent factors and the cluster1 had a poorer prognosis than cluster2. Furthermore, the genes in cluster1 were significantly enriched in cancer-related pathways, biological process, and hallmarks, including "cell adhesion molecules (CAMs)," "leukocyte migration," "Wnt/β-catenin signaling," and so on. MA RNA methylation regulators play important roles in the initiation and progression of ccRCC and provide a novel sight to understand mA RNA modification in ccRCC.
本研究旨在探讨13种mA RNA甲基化调节因子在肾透明细胞癌(ccRCC)中的作用,并确定ccRCC中mA RNA甲基化调节因子的风险特征和预后价值。ccRCC的RNA序列数据来自癌症基因组图谱(TCGA)数据库。使用R 3.6.0版本中的“limma”软件包揭示了在不同临床病理特征分层的ccRCC中13种mA RNA甲基化调节因子的差异表达。进行Cox回归和LASSO分析,以确定ccRCC中与总生存期(OS)相关的强大独立预后因素。分别使用“STRING”和R软件包对13种mA RNA甲基化调节因子进行蛋白质-蛋白质相互作用(PPI)网络和相关性分析。还使用R进行主成分分析(PCA)。此外,基因本体(GO)、基因集富集分析(GSEA)和京都基因与基因组百科全书通路用于对不同亚组中的差异表达基因进行功能注释。在537例患者中,按不同临床病理特征分层的ccRCC组织样本中,13种mA RNA甲基化调节因子中的大多数存在差异表达。接下来,基于两个强大的独立预后mA RNA甲基化调节因子(METTL14和METTL3)建立了预测ccRCC患者预后的风险特征。然后,通过对这两个强大的独立因素进行一致性聚类,确定了两个亚组(cluster1和cluster2),cluster1的预后比cluster2差。此外,cluster1中的基因在癌症相关通路、生物学过程和特征中显著富集,包括“细胞黏附分子(CAMs)”、“白细胞迁移”、“Wnt/β-连环蛋白信号通路”等。mA RNA甲基化调节因子在ccRCC的发生和发展中起重要作用,并为理解ccRCC中的mA RNA修饰提供了新的视角。