An m6A-Related lncRNA Signature Predicts the Prognosis of Hepatocellular Carcinoma.
An m6A-Related lncRNA Signature Predicts the Prognosis of Hepatocellular Carcinoma.
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m6A 相关 lncRNA 特征可预测肝细胞癌的预后
DOI：
10.3389/fphar.2022.854851
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发表时间：
2022
影响因子：
5.6
通讯作者：
Kong, Weihao
中科院分区：
文献类型：
--
作者：
Zhang, Zhenyu;Wang, Fangkai;Zhang, Jianlin;Zhan, Wenjing;Zhang, Gaosong;Li, Chong;Zhang, Tongyuan;Yuan, Qianqian;Chen, Jia;Guo, Manyu;Xu, Honghai;Yu, Feng;Wang, Hengyi;Wang, Xingyu;Kong, Weihao
目的：本研究的目的是建立一个N6-甲基腺苷（m6 A）相关的长非编码RNA（lncRNA）的签名，以预测肝细胞癌（HCC）的预后。方法：采用Pearson相关分析法对m6 A相关lncRNA进行分析。然后我们进行单变量考克斯回归分析和最小绝对收缩和选择算子（LASSO）考克斯回归分析以构建m6 A相关的lncRNA标签。根据X-title软件确定的风险评分的临界值，我们将HCC患者分为高风险组和低风险组。使用时间依赖性ROC曲线来评估模型的预测价值。最后，我们构建了一个诺模图的基础上m6 A相关的lncRNA签名。结果：ZEB 1-AS 1、MIR 210 HG、BACE 1-AS和SNHG 3被鉴定为包含m6 A相关的lncRNA标签。与正常组织相比，这四种lncRNA在HCC组织中上调。低危组肝癌患者的预后明显长于高危组。M6 A相关lncRNA标记与临床病理特征显著相关，并被确定为HCC患者预后的危险因素。基于m6 A相关lncRNA标签的诺模图具有良好的区分能力和一致性。结论：我们确定了一个m6 A相关的lncRNA标签，并构建了一个诺模图模型，以评估肝癌患者的预后。
Objective: The purpose of this study was to establish an N6-methylandenosine (m6A)-related long non-coding RNA (lncRNA) signature to predict the prognosis of hepatocellular carcinoma (HCC). Methods: Pearson correlation analysis was used to identify m6A-related lncRNAs. We then performed univariate Cox regression analysis and least absolute shrinkage and selection operator (LASSO) Cox regression analysis to construct an m6A-related lncRNA signature. Based on the cutoff value of the risk score determined by the X-title software, we divided the HCC patients into high -and low-risk groups. A time-dependent ROC curve was used to evaluate the predictive value of the model. Finally, we constructed a nomogram based on the m6A-related lncRNA signature. Results: ZEB1-AS1, MIR210HG, BACE1-AS, and SNHG3 were identified to comprise an m6A-related lncRNA signature. These four lncRNAs were upregulated in HCC tissues compared to normal tissues. The prognosis of patients with HCC in the low-risk group was significantly longer than that in the high-risk group. The M6A-related lncRNA signature was significantly associated with clinicopathological features and was established as a risk factor for the prognosis of patients with HCC. The nomogram based on the m6A-related lncRNA signature had a good distinguishing ability and consistency. Conclusion: We identified an m6A-related lncRNA signature and constructed a nomogram model to evaluate the prognosis of patients with HCC.
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影响因子：
5.2
作者：
Boilève A;Hilmi M;Delaye M;Tijeras-Raballand A;Neuzillet C
通讯作者：
Neuzillet C
影响因子：
4.7
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Ghafouri-Fard S;Shoorei H;Taheri M
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Taheri M
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通讯作者：
Huang, Zi-Lin
影响因子：
5.2
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通讯作者：
Li, Xue
影响因子：
3.9
作者：
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Zuo, Ying