构建lncRNA-m6A基因-mRNA调控网络，以确定与肺腺癌进展相关的m6A相关lncRNA。
Construction of lncRNA-m6A gene-mRNA regulatory network to identify m6A-related lncRNAs associated with the progression of lung adenocarcinoma.
发表日期：2023 Aug 03
作者：
Jiangzhou Zhang, Shuheng Bai, Yanli Yan, Haojing Kang, Guangzu Li, Zhaode Feng, Wen Ma, Xuan Wang, Juan Ren
来源：
Protein & Cell
摘要：
本研究评估了m6A相关的长链非编码RNA（lncRNA）在肺腺癌（LUAD）中的预后价值。使用limma包分析了来自癌症基因组图谱数据集的LUAD和正常邻近组织中的lncRNA和mRNA的表达水平。鉴定并使用m6A酶相关的差异表达的lncRNA和mRNA构建了一个调控网络。进行了生存分析，并分析了lncRNA、m6A调控因子和mRNA之间的相关性，随后进行了功能富集分析。对比LUAD样本和正常组织，发现了许多差异表达的lncRNA和mRNA，证明建立了一个全面的网络。选择了两个lncRNA和六个mRNA作为预后相关因子，包括SH3PXD2A-AS1、MAD2L1、CCNA2和CDC25C。病理阶段和复发情况被确定为独立的临床因素（P < 0.05）。这些RNA在不同临床组中的表达水平与不同风险组中的表达水平一致。预测了m6A蛋白、两个lncRNA和六个mRNA之间的相互作用，并且功能分析显示m6A靶向mRNA参与了细胞周期、孕激素介导的卵子成熟以及卵子减数分裂通路。这些m6A靶向lncRNA和mRNA可能是预测临床预后的有希望的生物标志物，而lncRNA-m6A调控因子-mRNA调控网络可以改善我们对于LUAD进展中m6A修饰的理解。© 2023. BioMed Central Ltd., part of Springer Nature.
We evaluated the prognostic value of m6A-related long noncoding RNAs (lncRNAs) in lung adenocarcinoma (LUAD).The expression levels of lncRNAs and mRNAs in LUAD and normal adjacent tissues from The Cancer Genome Atlas dataset were analyzed using the limma package. m6A enzyme-related differentially expressed lncRNAs and mRNAs were identified and used to construct a regulatory network. Survival analysis was performed and the correlation between lncRNAs, m6A regulators, and mRNAs was analyzed; followed by functional enrichment analysis.A comparison of LUAD samples and normal tissues identified numerous differentially expressed lncRNAs and mRNAs, demonstrating that a comprehensive network was established. Two lncRNAs and six mRNAs were selected as prognosis related factors including SH3PXD2A-AS1, MAD2L1, CCNA2, and CDC25C. The pathological stage and recurrence status were identified as independent clinical factors (P < 0.05). The expression levels of these RNAs in the different clinical groups were consistent with those in the different risk groups. The interactions of m6A proteins, two lncRNAs, and six mRNAs were predicted, and functional analysis showed that m6A target mRNAs were involved in the cell cycle, progesterone-mediated oocyte maturation, and oocyte meiosis pathways.These m6A target lncRNAs and mRNAs may be promising biomarkers for predicting clinical prognosis, and the lncRNA-m6A regulator-mRNA regulatory network could improve our understanding of m6A modification in LUAD progression.© 2023. BioMed Central Ltd., part of Springer Nature.