Analysis of m7G-Related Signatures in Adrenocortical Carcinoma and Their Correlation with Survival

Author:

lin junhan1,Huang Chaoqun1,Hu Ende1,Chen Yaozhi1,Lin Chuanqi1

Affiliation:

1. Second Affiliated Hospital & Yuying Children's Hospital of Wenzhou Medical University

Abstract

Abstract N7-methylguanosine (M7G) is a prevalent modification of mRNA in biological systems, and plays a role in various biological processes. Previous research has demonstrated that expression of m7G RNA modification is correlated with cancer and a range of other pathological conditions. The study aimed to explore the potential of m7G as a prognostic biomarker and therapeutic target for Adrenocortical Carcinoma (ACC). A comprehensive analysis was conducted to identify m7G-related genes in ACC by first compiling a list of 26 critical regulators through previous research and Gene Set Enrichment Analysis (GSEA). Subsequently, LASSO Cox regression analysis was performed on RNA-seq data from The Cancer Genome Atlas (TCGA) and accompanying clinical data, resulting in the identification of nine m7G prognostic signatures (GEMIN5, DCPS, AGO2, EIF4E2, NCBP1, WDR4, EIF4A1, EIF4E3, NUDT16) to create a predictive signature. Patients with ACC were then classified into high- and low-risk groups based on the predictive signature, with the results showing that patients in the high-risk group had a poorer prognosis. The m7G signature demonstrated high diagnostic sensitivity and robustness, as demonstrated by its diagnostic performance and external validation through the Gene Expression Omnibus (GEO). This study provides a comprehensive analysis of m7G RNA methylation in ACC and offers insight into the gene expression, function, interaction, and predictive value of m7G-related genes, which may provide valuable information for prognosis prediction and treatment guidance for ACC patients.

Publisher

Research Square Platform LLC

Reference47 articles.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3