12 research outputs found
Velocity of Ultrasonic Waves in Solutions of Electrolytes
List of the genes involved in CVDs according to DisGeNET database. For each gene all the related diseases and the putative EV-MiRNAs targeting it are indicated both as list and as number of occurrences. (PDF 1206Â kb
Plasmatic extracellular vesicle microRNAs in malignant pleural mesothelioma and asbestos-exposed subjects suggest a 2-miRNA signature as potential biomarker of disease
<div><p>Background</p><p>Malignant Pleural Mesothelioma (MPM) is an aggressive cancer mainly caused by asbestos exposure and refractory to current therapies. Specific diagnostic markers for early MPM diagnosis are needed. Changes in miRNA expression have been implicated in several diseases and cancers, including MPM. We examined if a specific miRNA signature in plasmatic extracellular vesicles (EV) may help to discriminate between malignant pleural mesothelioma patients (MPM) and subjects with Past Asbestos Exposure (PAE).</p><p>Methodology/Principal findings</p><p>We investigated 23 MPM patients and 19 cancer-free subjects with past asbestos exposure (PAE). We screened 754 miRNAs in plasmatic EVs by OpenArray and found 55 differential miRNAs using logistic regression models adjusted for age, sex, BMI, and smoking. Among the top-20 differential miRNAs chosen for validation by Real time PCR, 16 were confirmed. Using receiver operating characteristic (ROC) curve analysis, the most discriminating miRNA combination was given by miR-103a-3p + miR-30e-3p, which generated an AUC of 0.942 (95% CI 0.87–1.00), with a sensitivity of 95.5% and a specificity of 80.0%. Using multivariate Cox regression analysis including gender, age, BMI and smoking we found a Hazard Ratio for miR-103a-3p above the median of 0.37 (95%CI 0.13–1.13) and of 0.51 (95%CI 0.17–1.52) for miR-30e-3p.</p><p>Conclusions</p><p>This study suggests EV-associated miR-103a-3p and miR-30e-3p are able to discriminate MPM from PAE subjects. Larger and prospective studies are needed to confirm these two-miRNA signature alone or in combination with other biomarkers as diagnostic tools for MPM.</p></div
ROC curve of the combination of miR-103a-3p and miR-30e-3p.
<p>ROC curve of the combination of miR-103a-3p and miR-30e-3p.</p
Plasmatic extracellular vesicle microRNAs in malignant pleural mesothelioma and asbestos-exposed subjects suggest a 2-miRNA signature as potential biomarker of disease - Fig 5
<p>Kaplan-Meier estimate of the overall survival time (months) of MPM stratified for mir-103a-3p (A) and mir-30-e3p (B) expression levels (solid line: above the median; dashed line: under the median).</p
Area under the curve (AUC), 95% Confidence Interval, sensitivity and specificity of the 16 validated mi_RNA resulting from Receiving Operating Characteristics (ROC) curve adjusted by age, gender, BMI and smoking).
<p>Area under the curve (AUC), 95% Confidence Interval, sensitivity and specificity of the 16 validated mi_RNA resulting from Receiving Operating Characteristics (ROC) curve adjusted by age, gender, BMI and smoking).</p
Scatter plot of the 5 best miRNAs in MPM and PAE.
<p>Expression values were normalized to RNU48 and expressed as 2 <sup>-Δcrt</sup>.</p
Volcano plot showing differential expressed mi-RNAs between MPM and PAE subjects.
<p>Volcano plot showing differential expressed mi-RNAs between MPM and PAE subjects.</p
Median value and Interquartile Range if the 5 best mi_RNA in discriminating MPM and PAE subjects.
<p>Median value and Interquartile Range if the 5 best mi_RNA in discriminating MPM and PAE subjects.</p
Validation of the top-20 most significant miRNAs resulting from multiple logistic regression analysis, adjusted for age, sex, BMI and smoking habits.
<p>Validation of the top-20 most significant miRNAs resulting from multiple logistic regression analysis, adjusted for age, sex, BMI and smoking habits.</p