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A Novel Gene Signature to Predict Survival Time and Incident Ventricular Arrhythmias in Patients with Dilated Cardiomyopathy
Disease Markers ( IF 3.464 ) Pub Date : 2020-09-15 , DOI: 10.1155/2020/8847635
Chenliang Ge 1, 2 , Yan He 1
Affiliation  

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 (TOMM22, PPP2R5A) 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.

中文翻译:

预测生存期和扩张型心肌病患者室性心律失常的新基因签名。

非缺血性扩张型心肌病(NIDCM)患者的死亡率仍处于较高水平;NIDCM猝死可能由室性心动过速引起。有必要探讨NIDCM中室性心律失常(VA)的发病机理。通过在GSE135055的基因表达谱中比较具有或不具有VA的NIDCM患者的基因表达来鉴定差异表达基因(DEG)。共获得228个DEG,并筛选出3个与NIDCM患者的生存时间显着相关的基因。我们建立了两个基因(TOMM22PPP2R5A)作为NIDCM患者生存时间的签名。通过ROC曲线分析计算出的曲线下面积(AUC)为0.75。这些风险基因可能是探索VA引起的NIDCM发病机制的新靶点。生存时间和突发性室性心律失常的预测模型可用于个别治疗的临床决策。
更新日期:2020-09-16
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