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一种用于预测扩张型心肌病患者生存时间和新发室性心律失常的新基因标志物。

A Novel Gene Signature to Predict Survival Time and Incident Ventricular Arrhythmias in Patients with Dilated Cardiomyopathy.

机构信息

The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China.

The First Affiliated Hospital of University of South China, Hengyang 421001 ., China.

出版信息

Dis Markers. 2020 Sep 15;2020:8847635. doi: 10.1155/2020/8847635. eCollection 2020.

Abstract

The mortality in nonischaemic dilated cardiomyopathy (NIDCM) patients is still at a high level; sudden death in NIDCM can be caused by ventricular tachycardia. It is necessary to explore the pathogenesis of ventricular arrhythmias (VA) in NIDCM. Differentially expressed genes (DEGs) were identified by comparing the gene expression of NIDCM patients with or without VA in the gene expression profile of GSE135055. A total of 228 DEGs were obtained, and 3 genes were screened out to be significantly related to the survival time of NIDCM patients. We established a prediction model on two-gene (, ) signature for the survival time of NIDCM patients. The area under the curve (AUC) was 0.75 calculated by the ROC curve analysis. These risk genes are probably new targets for exploring the pathogenesis of NIDCM with VA; the prediction model for survival time and incident ventricular arrhythmias is useful in clinical decision making for individual treatment.

摘要

非缺血性扩张型心肌病 (NIDCM) 患者的死亡率仍然很高;NIDCM 中的猝死可由室性心动过速引起。有必要探讨 NIDCM 中室性心律失常 (VA) 的发病机制。通过比较基因表达谱 GSE135055 中 NIDCM 患者是否存在 VA,鉴定出差异表达基因 (DEGs)。共获得 228 个 DEGs,筛选出 3 个与 NIDCM 患者生存时间显著相关的基因。我们建立了一个基于两个基因 (, ) 特征的 NIDCM 患者生存时间预测模型。ROC 曲线分析计算的 AUC 为 0.75。这些风险基因可能是探索具有 VA 的 NIDCM 发病机制的新靶点;生存时间和偶发性室性心律失常的预测模型在个体化治疗的临床决策中具有一定的应用价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b97c/7512094/b4a53c0dfc55/DM2020-8847635.001.jpg

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