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A Novel Gene Signature to Predict Survival Time and Incident Ventricular Arrhythmias in Patients with Dilated Cardiomyopathy.
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- Author(s): Ge C;Ge C;Ge C; He Y; He Y
- Source:
Disease markers [Dis Markers] 2020 Sep 15; Vol. 2020, pp. 8847635. Date of Electronic Publication: 2020 Sep 15 (Print Publication: 2020).- Publication Type:
Journal Article- Language:
English - Source:
- Additional Information
- Source: Publisher: Hindawi Pub. Corp Country of Publication: United States NLM ID: 8604127 Publication Model: eCollection Cited Medium: Internet ISSN: 1875-8630 (Electronic) Linking ISSN: 02780240 NLM ISO Abbreviation: Dis Markers Subsets: MEDLINE
- Publication Information: Publication: 2015- : New York, NY : Hindawi Pub. Corp.
Original Publication: Chichester ; New York : Wiley, c1983- - Subject Terms: Gene Expression Profiling* ; Gene Expression Regulation*; Biomarkers/*analysis ; Cardiomyopathy, Dilated/*complications ; Tachycardia, Ventricular/*mortality; Adult ; China/epidemiology ; Female ; Follow-Up Studies ; Humans ; Incidence ; Male ; Prognosis ; Risk Factors ; Survival Rate ; Tachycardia, Ventricular/epidemiology ; Tachycardia, Ventricular/etiology ; Tachycardia, Ventricular/genetics
- 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 ( 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.
Competing Interests: The authors declare that they have no conflicts of interest.
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Aging (Albany NY). 2019 Oct 17;11(20):9025-9042. (PMID: 31626592) - Accession Number: 0 (Biomarkers)
- Publication Date: Date Created: 20201005 Date Completed: 20210712 Latest Revision: 20210712
- Publication Date: 20231215
- Accession Number: PMC7512094
- Accession Number: 10.1155/2020/8847635
- Accession Number: 33014188
- Source:
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