Omics-based evaluation of m6A modification patterns in uveal melanoma and their prognostic implications

Xiaohui Shi , Xiao Zhu , Dongpei Li
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Abstract

Background

Epigenetic reprogramming plays a crucial role in the progression of uveal melanoma (UM). RNA methylation constitutes more than 60% of all RNA modifications, with N6-methyladenosine (m6A) being the most prevalent RNA modification in higher organisms. This study aimed to investigate the construction of the m6A regulatory factor modification model and its assessment of UM clinical prognosis.

Methods

The expression levels of 23 m6A regulators in The Cancer Genome Atlas (TCGA) were analyzed, and the survival rate was assessed based on TCGA clinicopathological data. Consistent cluster analysis was performed to evaluate different m6A scores in tumor mutation burden (TMB) and to predict the correlation between m6A scores and UM prognosis.

Results

Various expression patterns of m6A regulators were observed in UM tumors, and multiple m6A genes were found to be correlated with prognosis. Through consistent cluster analysis, three distinct m6A modification patterns were identified. The overlapping differentially expressed genes (DEGs) among the three m6A clusters were screened, leading to the establishment of three different subgroups. Among these subgroups, cluster B exhibited the most favorable prognosis. Based on the m6A score derived from DEGs, UM patients could be categorized into high-scoring subgroup and low-scoring subgroup subgroups. Importantly, patients with higher m6A scores demonstrated prolonged survival and improved clinical characteristics. Furthermore, the study established an association between the m6A score and TMB, suggesting that the m6A score may serve as a potential prognostic predictor for UM patients.

Conclusion

We conducted a screening of DEGs from the m6A cluster and categorized them into three distinct clusters for analysis of m6A scores. Subsequently, we developed a highly predictive model with prognostic value. This study will contribute to our understanding of the overall impact of m6A modification patterns on the progression of UM.
葡萄膜黑色素瘤中m6A修饰模式的组学评估及其预后意义
背景去遗传重编程在葡萄膜黑色素瘤(UM)的发展中起着至关重要的作用。RNA甲基化占所有RNA修饰的60%以上,其中n6 -甲基腺苷(m6A)是高等生物中最普遍的RNA修饰。本研究旨在探讨m6A调节因子修饰模型的构建及其对UM临床预后的评价。方法分析肿瘤基因组图谱(TCGA)中23个m6A调节因子的表达水平,并根据TCGA临床病理资料评估肿瘤患者的生存率。采用一致聚类分析评估不同m6A评分在肿瘤突变负荷(TMB)中的影响,并预测m6A评分与肿瘤预后的相关性。结果m6A调控因子在UM肿瘤中有不同的表达模式,多个m6A基因与预后相关。通过一致聚类分析,确定了三种不同的m6A修饰模式。通过筛选三个m6A簇中重叠的差异表达基因(DEGs),建立了三个不同的亚群。在这些亚组中,B组表现出最有利的预后。根据deg得出的m6A评分,UM患者可分为高评分亚组和低评分亚组。重要的是,m6A评分较高的患者表现出更长的生存期和更好的临床特征。此外,该研究建立了m6A评分与TMB之间的关联,表明m6A评分可以作为UM患者的潜在预后预测指标。我们从m6A集群中筛选了deg,并将它们分为三个不同的集群来分析m6A评分。随后,我们开发了一个具有预测价值的高度预测模型。这项研究将有助于我们了解m6A修饰模式对UM进展的总体影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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