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Published on: August 27, 2020
Plasma Long Noncoding RNA Urothelial Carcinoma Associated 1 Predicts Poor Prognosis in Chronic Heart Failure Patients
Xuejing Yu1, Tong Zou2, Lihui Zou3
1Department of Cardiology, Peking University Fifth School of Clinical Medicine, Beijing, China (mainland).
Insights
Plasma urothelial carcinoma associated 1 (UCA1) is a promising biomarker for diagnosing chronic heart failure (CHF). Higher UCA1 levels in CHF patients indicate a poorer prognosis and lower survival rates.
Area of Science:
- Biochemistry
- Cardiology
- Molecular Biology
Background:
- Chronic heart failure (CHF) is a significant global health concern.
- Long noncoding RNAs (lncRNAs) play roles in various diseases, but UCA1's function in CHF is unexplored.
Purpose of the Study:
- To investigate the potential of urothelial carcinoma associated 1 (UCA1) as a diagnostic marker for CHF.
- To evaluate UCA1's ability to predict prognosis in patients with chronic heart failure.
Main Methods:
- Plasma RNA was isolated from 67 CHF patients and 67 controls.
- Quantitative real-time PCR measured plasma UCA1 levels.
- Correlation, ROC curve, and survival analyses were performed.
Main Results:
- Plasma UCA1 levels were significantly elevated in CHF patients compared to controls.
- UCA1 showed strong diagnostic power for CHF (AUC=0.89, 100% sensitivity).
- Higher UCA1 correlated with poorer CHF prognosis, similar to BNP.
Conclusions:
- Plasma UCA1 is a potential diagnostic biomarker for chronic heart failure.
- UCA1 may serve as a prognostic indicator for adverse outcomes in CHF patients.
Abstract:
BACKGROUND Chronic heart failure (CHF) is a leading cause of death worldwide. A long noncoding RNA (lncRNA) named urothelial carcinoma associated 1 (UCA1) is important in multiple diseases. However, the role of UCA1 in CHF is still unknown. Our study investigated whether UCA1 could be applied as an ideal marker to diagnose and evaluate prognosis in CHF. MATERIAL AND METHODS Total plasma RNA was extracted from 67 CHF patients and 67 controls. Quantitative real-time polymerase chain reaction was used to determine the plasma level of UCA1. Correlations between UCA1 and clinical parameters were analyzed by Pearson correlation. Receiver operating characteristic curves (ROC) were obtained to analyze the predictive power of UCA1 and BNP for CHF. Kaplan-Meier survival curves were used to evaluate prognosis of CHF within 1 year. RESULTS There was no significant difference in elementary data between CHF and controls. Plasma UCA1 was much higher in CHF patients compared with controls. Plasma UCA1 was positively and negatively correlated with brain natriuretic peptide (BNP) and left ventricle ejection fraction (LVEF), respectively. Plasma UCA1 diagnosed CHF with a diagnostic power of 0.89 and a sensitivity and specificity of 100% [95% CI (0.9464-1)] and 76.12% [95%CI (0.6414-0.8569)] (P<0.05), respectively. CHF patients with higher plasma UCA1 had a lower survival rate than those with a lower level, and survival rate predicted by UCA1 had a similar tendency with BNP. However, there was no significant difference between these 2 markers in predicting the prognosis of CHF (P>0.05). CONCLUSIONS Plasma UCA1 might be an excellent indicator to diagnose CHF and it might predict poor outcomes of CHF.
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