Yi Liu , Yanji Zhan , Jiao Liu , Zhengze Shen , Yudong Hu , Ling Zhong , Yuan Yu , Bin Tang , Jing Guo
{"title":"The 7-Methylguanosine (m7G) methylation METTL1 acts as a potential biomarker of clear cell renal cell carcinoma progression","authors":"Yi Liu , Yanji Zhan , Jiao Liu , Zhengze Shen , Yudong Hu , Ling Zhong , Yuan Yu , Bin Tang , Jing Guo","doi":"10.1016/j.tranon.2024.102202","DOIUrl":null,"url":null,"abstract":"<div><div><strong>Background:</strong> Clear cell renal cell carcinoma (ccRCC) is the most common subtype of renal cancer. 7-Methylguanosine (m7G), one of the most prevalent RNA modifications, has been reported to play an important role in ccRCC progression; however, the specific regulators of m7G modification that are involved in this function remain unclear. This study aimed to explore the correlation between regulators of m7G methylation and ccRCC progression using unsupervised machine learning methods.</div><div><strong>Methods:</strong> Transcriptome and clinical data of ccRCC were retrieved from The Cancer Genome Atlas (TCGA) database to identify differentially expressed m7G-related genes associated with the overall survival of patients with ccRCC. To construct and validate a prognostic risk model, TCGA dataset samples were divided into training and test sets. A multiple-gene risk signature was constructed using least absolute shrinkage and selection operator Cox regression analysis, and its prognostic significance was assessed using Cox regression and survival analyses. Finally, immunohistochemistry was performed to verify the prognostic significance of this signature.</div><div><strong>Results:</strong> In total, 537 patients with ccRCC were included in this study. We found that 26 m7G RNA methylation regulators that were significantly differentially expressed. Univariate and multifactorial Cox regression analyses revealed that METTL1 expression was associated with ccRCC progression.</div><div><strong>Conclusions:</strong> METTL1 associated with m7G may serve as a potential biomarker for ccRCC prognosis and diagnosis. Moreover, it may affect the prognosis of ccRCC by regulating the tumor immune microenvironment, providing a potential therapeutic target for immunotherapy. These results provide a new perspective on the role of M7G-related RNAs in ccRCC pathogenesis.</div></div>","PeriodicalId":48975,"journal":{"name":"Translational Oncology","volume":"51 ","pages":"Article 102202"},"PeriodicalIF":5.0000,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Translational Oncology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1936523324003280","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Clear cell renal cell carcinoma (ccRCC) is the most common subtype of renal cancer. 7-Methylguanosine (m7G), one of the most prevalent RNA modifications, has been reported to play an important role in ccRCC progression; however, the specific regulators of m7G modification that are involved in this function remain unclear. This study aimed to explore the correlation between regulators of m7G methylation and ccRCC progression using unsupervised machine learning methods.
Methods: Transcriptome and clinical data of ccRCC were retrieved from The Cancer Genome Atlas (TCGA) database to identify differentially expressed m7G-related genes associated with the overall survival of patients with ccRCC. To construct and validate a prognostic risk model, TCGA dataset samples were divided into training and test sets. A multiple-gene risk signature was constructed using least absolute shrinkage and selection operator Cox regression analysis, and its prognostic significance was assessed using Cox regression and survival analyses. Finally, immunohistochemistry was performed to verify the prognostic significance of this signature.
Results: In total, 537 patients with ccRCC were included in this study. We found that 26 m7G RNA methylation regulators that were significantly differentially expressed. Univariate and multifactorial Cox regression analyses revealed that METTL1 expression was associated with ccRCC progression.
Conclusions: METTL1 associated with m7G may serve as a potential biomarker for ccRCC prognosis and diagnosis. Moreover, it may affect the prognosis of ccRCC by regulating the tumor immune microenvironment, providing a potential therapeutic target for immunotherapy. These results provide a new perspective on the role of M7G-related RNAs in ccRCC pathogenesis.
期刊介绍：
Translational Oncology publishes the results of novel research investigations which bridge the laboratory and clinical settings including risk assessment, cellular and molecular characterization, prevention, detection, diagnosis and treatment of human cancers with the overall goal of improving the clinical care of oncology patients. Translational Oncology will publish laboratory studies of novel therapeutic interventions as well as clinical trials which evaluate new treatment paradigms for cancer. Peer reviewed manuscript types include Original Reports, Reviews and Editorials.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
