基于微小RNA全基因组甲基化分析构建肝细胞癌预后模型
Construction of a prognostic model based on genome-wide methylation analysis of miRNAs for hepatocellular carcinoma.
作者信息
Shi Zhaoqi, Liu Xiaolong, Li Duguang, Fan Xiaoxiao, He Lifeng, Zhou Daizhan, Lin Hui
机构信息
Department of General Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310000, China.
Life Science Research Center, The First Affiliated Hospital of Xinxiang Medical University, Weihui, 453100, Henan, China.
出版信息
Epigenomics. 2024 Mar 13;16(8):513-27. doi: 10.2217/epi-2023-0365.
Using the methylation level of miRNA genes to develop a prognostic model for patients with hepatocellular carcinoma (HCC). least absolute shrinkage and selection operator and multivariate Cox regression analyses were performed to develop a prognostic model. One miRNA in the model was selected for verification. A prognostic model was developed using eight miRNAs. The areas under the curve for predicting overall survival at 1, 3 and 5 years were 0.75, 0.81 and 0.81. miR-223 was found to be hypomethylated in 160 HCC tissues, and its methylation level was associated with Barcelona Clinic Liver Cancer stages and the prognosis of patients with HCC. The prognostic model based on miRNA methylation levels has the capability to partially forecast the prognosis of patients with HCC.
利用微小RNA（miRNA）基因的甲基化水平为肝细胞癌（HCC）患者建立预后模型。进行了最小绝对收缩和选择算子及多变量Cox回归分析以建立预后模型。从模型中选择了一个miRNA进行验证。使用8个miRNA建立了一个预后模型。预测1年、3年和5年总生存率的曲线下面积分别为0.75、0.81和0.81。发现160例HCC组织中miR-223呈低甲基化，其甲基化水平与巴塞罗那临床肝癌分期及HCC患者的预后相关。基于miRNA甲基化水平的预后模型有能力部分预测HCC患者的预后。
Zotero 插件