Identification of a New Prognostic Risk Signature of Clear Cell Renal Cell Carcinoma Based on N6-Methyladenosine RNA Methylation Regulators

As the most prevalent internal eukaryotic modification, N6-methyladenosine (m6A) is installed by methyltransferases, removed by demethylases, and recognized by readers. However, there are few studies on the role of m6A in clear cell renal cell carcinoma (ccRCC). In this study, we researched the RNA-...

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Main Authors: Yan Zhang, Yao Yao, Xiaochen Qi, Jianyi Li, Meihong Liu, Xiangyu Che, Yingkun Xu, Guangzhen Wu
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Journal of Immunology Research
Online Access:http://dx.doi.org/10.1155/2021/6617841
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author Yan Zhang
Yao Yao
Xiaochen Qi
Jianyi Li
Meihong Liu
Xiangyu Che
Yingkun Xu
Guangzhen Wu
author_facet Yan Zhang
Yao Yao
Xiaochen Qi
Jianyi Li
Meihong Liu
Xiangyu Che
Yingkun Xu
Guangzhen Wu
author_sort Yan Zhang
collection DOAJ
description As the most prevalent internal eukaryotic modification, N6-methyladenosine (m6A) is installed by methyltransferases, removed by demethylases, and recognized by readers. However, there are few studies on the role of m6A in clear cell renal cell carcinoma (ccRCC). In this study, we researched the RNA-seq transcriptome data of ccRCC in the TCGA dataset and used bioinformatics analyses to detect the relationship between m6A RNA methylation regulators and ccRCC. First, we compared the expression of 18 m6A RNA methylation regulators in ccRCC patients and normal tissues. Then, data from ccRCC patients were divided into two clusters by consensus clustering. LASSO Cox regression analysis was used to build a risk signature to predict the prognosis of patients with ccRCC. An ROC curve, univariate Cox regression analysis, and multivariate Cox regression analysis were used to verify this risk signature’s predictive ability. Then, we internally validated this signature by random sampling. Finally, we explored the role of the genes in the signature in some common pathways. Gene distribution between the two subgroups was different; cluster 2 was gender-related and had a worse prognosis. IGF2BP3, IGF2BP2, HNRNPA2B1, and METTL14 were chosen to build the risk signature. The overall survival of the high- and low-risk groups was significantly different (p=7.47e−12). The ROC curve also indicated that the risk signature had a decent predictive significance (AUC=0.72). These results imply that the risk signature has a potential value for ccRCC treatment.
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spelling doaj-art-e28f0276cb92407b978541e7ea94c9c42025-02-03T01:20:48ZengWileyJournal of Immunology Research2314-88612314-71562021-01-01202110.1155/2021/66178416617841Identification of a New Prognostic Risk Signature of Clear Cell Renal Cell Carcinoma Based on N6-Methyladenosine RNA Methylation RegulatorsYan Zhang0Yao Yao1Xiaochen Qi2Jianyi Li3Meihong Liu4Xiangyu Che5Yingkun Xu6Guangzhen Wu7Department of Laboratory, The First Affiliated Hospital of Dalian Medical University, Dalian, ChinaDepartment of Laboratory, The First Affiliated Hospital of Dalian Medical University, Dalian, ChinaDepartment of Urology, The First Affiliated Hospital of Dalian Medical University, Dalian, ChinaOrgan Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, ChinaDepartment of Respiratory Medicine, The First Affiliated Hospital of Dalian Medical University, Dalian, ChinaDepartment of Urology, The First Affiliated Hospital of Dalian Medical University, Dalian, ChinaDepartment of Urology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, ChinaDepartment of Urology, The First Affiliated Hospital of Dalian Medical University, Dalian, ChinaAs the most prevalent internal eukaryotic modification, N6-methyladenosine (m6A) is installed by methyltransferases, removed by demethylases, and recognized by readers. However, there are few studies on the role of m6A in clear cell renal cell carcinoma (ccRCC). In this study, we researched the RNA-seq transcriptome data of ccRCC in the TCGA dataset and used bioinformatics analyses to detect the relationship between m6A RNA methylation regulators and ccRCC. First, we compared the expression of 18 m6A RNA methylation regulators in ccRCC patients and normal tissues. Then, data from ccRCC patients were divided into two clusters by consensus clustering. LASSO Cox regression analysis was used to build a risk signature to predict the prognosis of patients with ccRCC. An ROC curve, univariate Cox regression analysis, and multivariate Cox regression analysis were used to verify this risk signature’s predictive ability. Then, we internally validated this signature by random sampling. Finally, we explored the role of the genes in the signature in some common pathways. Gene distribution between the two subgroups was different; cluster 2 was gender-related and had a worse prognosis. IGF2BP3, IGF2BP2, HNRNPA2B1, and METTL14 were chosen to build the risk signature. The overall survival of the high- and low-risk groups was significantly different (p=7.47e−12). The ROC curve also indicated that the risk signature had a decent predictive significance (AUC=0.72). These results imply that the risk signature has a potential value for ccRCC treatment.http://dx.doi.org/10.1155/2021/6617841
spellingShingle Yan Zhang
Yao Yao
Xiaochen Qi
Jianyi Li
Meihong Liu
Xiangyu Che
Yingkun Xu
Guangzhen Wu
Identification of a New Prognostic Risk Signature of Clear Cell Renal Cell Carcinoma Based on N6-Methyladenosine RNA Methylation Regulators
Journal of Immunology Research
title Identification of a New Prognostic Risk Signature of Clear Cell Renal Cell Carcinoma Based on N6-Methyladenosine RNA Methylation Regulators
title_full Identification of a New Prognostic Risk Signature of Clear Cell Renal Cell Carcinoma Based on N6-Methyladenosine RNA Methylation Regulators
title_fullStr Identification of a New Prognostic Risk Signature of Clear Cell Renal Cell Carcinoma Based on N6-Methyladenosine RNA Methylation Regulators
title_full_unstemmed Identification of a New Prognostic Risk Signature of Clear Cell Renal Cell Carcinoma Based on N6-Methyladenosine RNA Methylation Regulators
title_short Identification of a New Prognostic Risk Signature of Clear Cell Renal Cell Carcinoma Based on N6-Methyladenosine RNA Methylation Regulators
title_sort identification of a new prognostic risk signature of clear cell renal cell carcinoma based on n6 methyladenosine rna methylation regulators
url http://dx.doi.org/10.1155/2021/6617841
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