scholarly journals Circulating Long Noncoding RNA GAS5 as a novel biomarker for patients with atrial fibrillation

2019 ◽  
Author(s):  
Jiaran Shi ◽  
Shi Chen ◽  
Bifeng Wu ◽  
Kun Yang ◽  
Xiaosheng Hu
Keyword(s):  
Atrial Fibrillation ◽  
Long Noncoding Rna ◽  
Noncoding Rna ◽  
Characteristic Curve ◽  
Diagnostic Value ◽  
Vital Role ◽  
Potential Biomarker ◽  
Circulating Levels ◽  
Screening Trial ◽  
Lncrna Gas5

Abstract Background Long noncoding RNA (LncRNA) played a vital role in pathophysiology of cardiovascular diseases. However, its role in the diagnosis of atrial fibrillation (AF) remains unknown. The aim of this study is to identify the diagnostic value of lncRNA GAS5 for AF patients.Methods Four lncRNAs (NEAT1, GAS5, UCA1, and TUG1) were selected as potential biomarkers of AF. The circulating expression of lncRNAs were measured by qRT-PCR. Receiver operating characteristic curve (ROC) and area under the ROC curve (AUC) were applied to assess their diagnostic value for AF.Results In screening trial, LncRNA GAS5 was down-regulated in AF patients, with no significant differences in other three lncRNAs. Then a total of 128 participants were enrolled including 85 AF patients and 43 controls. Circulating levels of GAS5 in AF patients were remarkably reduced compared with controls ( P <0.001). The AUC was 0.858, with 81.2% sensitivity and 86.0% specificity. Further, the downregulation of GAS5 was more significant in persistent rather than paroxysmal AF. Correlation analysis showed that GAS5 was negatively correlated with CHA2DS2-VASc score and several echocardiography indexes.Conclusions Circulating lncRNA GAS5 is a potential biomarker for AF diagnosis and may prognose AF progression and stroke risk.

A novel three-long noncoding RNA risk score system for the prognostic prediction of triple-negative breast cancer

2021 ◽  
Vol 15 (1) ◽  
pp. 43-55
Author(s):  
Chao Yuan ◽  
Hongjun Yuan ◽  
Li Chen ◽  
Miaomiao Sheng ◽  
Wenru Tang
Keyword(s):  
Breast Cancer ◽  
Risk Score ◽  
Triple Negative Breast Cancer ◽  
Long Noncoding Rna ◽  
Noncoding Rna ◽  
Triple Negative ◽  
Cox Regression ◽  
Characteristic Curve ◽  
Gene Expression Omnibus ◽  
Prognostic Prediction

Background: Triple-negative breast cancer (TNBC) is characterized by fast tumor increase, rapid recurrence and natural metastasis. We aimed to identify a genetic signature for predicting the prognosis of TNBC. Materials & methods: We conducted a weighted correlation network analysis of datasets from the Gene Expression Omnibus. Multivariate Cox regression was used to construct a risk score model. Results: The multi-factor risk scoring model was meaningfully associated with the prognosis of patients with TBNC. The predictive power of the model was demonstrated by the time-dependent receiver operating characteristic curve and Kaplan–Meier curve, and verified using a validation set. Conclusion: We established a long noncoding RNA-based model for the prognostic prediction of TNBC.

Diagnostic Value of MicroRNA 21 in Endometrial Cancer and Benign Lesions and its Differential Expression in Relation to Clinicopathological Parameters

MicroRNA ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
Amal Bouziyane ◽  
Maryame Lamsisi ◽  
Hicham Benaguida ◽  
Mustapha Benhessou ◽  
Mohamed El Kerroumi ◽  
...  
Keyword(s):  
Endometrial Cancer ◽  
Characteristic Curve ◽  
Myometrial Invasion ◽  
Figo Stage ◽  
Diagnostic Value ◽  
Clinicopathological Parameters ◽  
Benign Lesions ◽  
Tumor Tissues ◽  
Potential Biomarker ◽  
Noninvasive Samples

Background: Endometrial cancer is one of the most common malignancies among women worldwide. Although this cancer is often diagnosed at early stages, the need for biomarkers of diagnosis remains a necessity to overcome conventional invasive procedures of diagnosis. Objective: In our study, we aim to investigate the diagnostic value of microRNA-21 in endometrial cancer and its relation to clinicopathological features. Methods: We used RT-qPCR to measure the expression of microRNA-21 in 71 tumor tissues, 53 adjacent tissues, and 54 benign lesions. Results: Our results show that microRNA-21 is a potential biomarker for endometrial cancer with an area under the receiver operating characteristic curve of 0.925 (95% CI = 0.863 - 0.964, P<0.0001). The sensitivity was 84.51% (95% CI = 74.0 - 92.0) and specificity was 86.79% (95% CI = 74.7 - 94.5). For discrimination between benign lesions and controls the AUC was 0,881 with a sensitivity of 100% (95% CI = 93.4 - 100.0) and specificity of 66.04 % (95% CI = 51.7 - 78.5), and for discriminating benign lesions from tumors the AUC was 0,750 with a sensitivity of 54.93% (95% CI = 42.7 - 66.8) and specificity of 90.74% (95% CI = 79.7 - 96.9). We also found that tumors with elevated microRNA-21 expression are of advanced FIGO stage, high histological grades, and have cervical invasion, myometrial invasion and distant metastasis. Conclusion: Our findings support the important role of miR-21 as a biomarker for the diagnosis of endometrial cancer. Further studies on minimally invasive/noninvasive samples such as serum, blood, and urine are necessary to provide a better alternative to current diagnosis methods.

scholarly journals Long Noncoding RNA Serve as a Potential Predictive Biomarker for Breast Cancer: A Meta-Analysis

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Xuefeng Jiang ◽  
Guijuan Zhang ◽  
Jieyan Wu ◽  
Shujun Lin ◽  
Yusheng Liu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Long Noncoding Rna ◽  
Noncoding Rna ◽  
Meta Analysis ◽  
Characteristic Curve ◽  
Breast Cancer Diagnosis ◽  
Predictive Biomarker ◽  
Cochrane Library ◽  
Summary Receiver Operating Characteristic ◽  
Diagnostic Efficacy

Purpose. The detection of long noncoding RNA (lncRNA) is a novel method for breast cancer diagnosis. The purpose of this meta-analysis was to evaluate the clinical significance of lncRNAs in identification of human breast cancer. Methods. Electronic databases, including PubMed (176), EMBASE (167), Cochrane Library (4), Web of Science (273), CNKI (41), VIP (18), and wanfang (21), were searched for relevant original articles. Diagnostic capacity of lncRNAs was assessed by pooled sensitivity and specificity, area under the summary receiver operating characteristic curve (AUC), diagnostic odds ratio (DOR), and subgroup and meta-regression analysis. Stata and Meta-Disc software were used to conduct the meta-analysis. Results. 33 articles including 4500 cases were identified in our meta-analysis. lncRNAs sustained a high diagnostic efficacy; the pooled sensitivity, specificity, AUC, and DOR of lncRNAs in differentiating BC from controls were 0.74 (95% CI: 0.69-0.78), 0.78 (95% CI: 0.72-0.83), 0.82 (95% CI: 0.79-0.85), and 10.01 (95% CI: 7.13-14.06), respectively. The subgroup analysis showed that the diagnostic efficacy of lncRNAs in Asian populations was higher than that in Caucasians; lncRNAs in BC were lower than those in TNBC and were higher in plasma and serum specimens than in tissues. In addition, heterogeneity was clearly apparent but was not caused by the threshold effect. Conclusion. This meta-analysis suggested that lncRNAs might be promising biomarkers for identifying breast cancer, and its clinical application warrants further investigation.

scholarly journals Predictive Value of Plasma Long Noncoding RNA Associated With Microvascular Invasion in Hepatic Carcinoma for Preeclampsia

2020 ◽  
Vol 33 (8) ◽  
pp. 791-791
Author(s):  
Ying Li ◽  
Ning Yang ◽  
Xiao-yi Zou ◽  
Yuan-bing Li ◽  
Xin Zhang ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Predictive Value ◽  
Long Noncoding Rna ◽  
Plasma Levels ◽  
Noncoding Rna ◽  
Characteristic Curve ◽  
Univariate Analysis ◽  
Microvascular Invasion ◽  
Hepatic Carcinoma ◽  
Urine Protein

Abstract Background To investigate plasma levels of long noncoding RNA associated with microvascular invasion in hepatic carcinoma (LncRNA MVIH) in patients with preeclampsia (PE) and to explore its predictive value for PE either alone or in combination with other indicators. Methods Plasma samples were obtained from patients in a prospective pregnancy cohort at 7–16 weeks of gestation. Patients were divided into PE and control groups according to pregnancy outcomes. Real-time polymerase chain reaction was used to detect plasma levels of LncRNA MVIH. A univariate analysis was conducted on all indicators. Logistic regression analysis was performed on indexes with statistical differences. The receiver operating characteristic curve was used to evaluate the predict value of each independent risk factor and regression model. Results Before 16 weeks of pregnancy, body mass index, systolic blood pressure, diastolic blood pressure, mean arterial pressure, white blood cell (WBC), hemoglobin, alanine aminotransferase (ALT), uric acid (UA), and urine protein were positively correlated with PE while LncRNA MVIH was negatively correlated with PE. Independent markers with predictive value were LncRNA MVIH, UA, WBC, ALT, and urine protein, with the area under curve (AUC) in predicting PE of 0.763, 0.741, 0.663, 0.666, and 0.601, respectively. After combining these indexes, the AUC increased to 0.890 with sensitivity, specificity, and accuracy of 86.4%, 83.1%, and 84.7% respectively. Conclusions Plasma levels of LncRNA MVIH are negatively correlated with PE and have a predictive value for PE. The combination of LncRNA MVIH, UA, WBC, ALT, and urine protein has a greater predictive value.

Long noncoding RNA MALAT1 acts as a potential biomarker in cancer diagnosis and detection: a meta-analysis

2019 ◽  
Vol 13 (1) ◽  
pp. 45-54 ◽  
Author(s):  
Hongbing Mei ◽  
Yuhan Liu ◽  
Qun Zhou ◽  
Kun Hu ◽  
Yuchen Liu
Keyword(s):  
Cancer Diagnosis ◽  
Long Noncoding Rna ◽  
Noncoding Rna ◽  
Meta Analysis ◽  
Potential Biomarker

scholarly journals Predictive value of a novel lncRNA LINC02518 in evaluating the prognosis of patients with hepatocellular carcinoma

2021 ◽  
Author(s):  
Wei Cui ◽  
Jingzhi Huang ◽  
Ruiqi Wang ◽  
Yu Wang ◽  
Xiaoming Chen ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Receiver Operating Characteristic Curve ◽  
Receiver Operating Characteristic ◽  
Predictive Value ◽  
Long Noncoding Rna ◽  
Noncoding Rna ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Operating Characteristic Curve ◽  
Receiver Operating

Aim: The potential of long noncoding RNA in hepatocellular carcinoma (HCC) has led to promising insights into therapeutic intervention. The clinical significance of LINC02518 in HCC is unclear. This study aimed to evaluate the predictive value of a novel long noncoding RNA, LINC02518, for the prognosis of patients with HCC. Methods: Between December 2005 and November 2011, 125 and 75 HCC patients in the training and validation groups, respectively, who underwent liver surgery were included in our study. The LINC02518 expression of HCC and corresponding nontumor liver tissues was detected using microarray and reverse transcription quantitative polymerase chain reaction (RT-qPCR). These HCC patients were assigned into high and low LINC02518 expression groups based on the threshold of the receiver operating characteristic curve. Kaplan-Meier analysis was performed to determine the prognosis of HCC patients. Results: LINC02518 expression was upregulated in paired tumor samples compared with corresponding nontumor samples in the two groups. The area under the receiver operating characteristic curve for the levels of LINC02518 in the diagnosis of HCC was 0.66, 95% CI: 0.59–0.73. HCC patients with high LINC02518 expression had significantly worse tumor recurrence-free, metastasis-free, disease-free and overall survival than those with low LINC02518 expression. Conclusion: LINC02518 is negatively correlated with the prognosis of HCC and provides a promising strategy for the treatment and prognosis of HCC.

scholarly journals Circulating long noncoding RNA, GAS5, as a novel biomarker for patients with atrial fibrillation

2020 ◽  
Author(s):  
Jiaran Shi ◽  
Leiyang Chen ◽  
Shi Chen ◽  
Bifeng Wu ◽  
Kun Yang ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Long Noncoding Rna ◽  
Noncoding Rna
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