Introduction: Lung cancer is the highest cause of mortality among tumor pathologies worldwide. There are no validated techniques for an early detection of pulmonary cancer lesions other than low-dose helical computed tomography scan. Unfortunately, this method has some negative effects. Recent studies have laid the basis for development of exosomes-based techniques to screen/diagnose lung cancers. As the isolation of circulating exosomes is a minimally invasive procedure, this technique opens new possibilities for diagnostic applications. Methods: We used a first set of 30 plasma samples from as many patients, including 10 patients affected by lung adenocarcinomas, 10 with lung granulomas, and 10 healthy smokers matched for age and sex as negative controls. Wide-range microRNAs analysis (742 microRNAs) was performed by quantitative real time polymerase chain reaction. Data were compared on the basis of lesion characteristics, using WEKA software for statistics and modeling. Subsequently, selected microRNAs were evaluated on an independent larger group of samples (105 specimens: 50 lung adenocarcinomas, 30 lung granulomas, and 25 healthy smokers). Results: This analysis led to the selection of four microRNAs to perform a screening test (miR-378a, miR-379, miR-139-5p, and miR-200b-5p), useful to divide population into two groups: nodule (lung adenocarcinomas + carcinomas) and non-nodule (healthy former smokers). Six microRNAs (miR-151a-5p, miR-30a-3p, miR-200b-5p, miR-629, miR-100, and miR-154-3p) were selected for a second test on the nodule population to discriminate between lung adenocarcinoma and granuloma. Conclusions: The screening test showed 97.5% sensitivity, 72.0% specificity, and area under the curve receiver operating characteristic of 90.8%. The diagnostic test had 96.0% sensitivity, 60.0% specificity, and area under the curve receiver operating characteristic of 76.0%. Further evaluation is needed to confirm the predictive power of these models on larger cohorts of samples.
Background Whether orthostatic hypotension (OH) is a risk factor for cardiovascular morbidity and death is uncertain. Currently available evidence derives from non-homogeneous and partly ambiguous studies. Objective We aimed at assessing the relationship between OH and death or major adverse cardiac and cerebrovascular events (MACCEs) by integrating results of previous studies. Methods We performed a meta-analysis of prospective observational studies reporting on the association between prevalent OH, mortality, and incident MACCE, published from 1966 through 2013. Mantel–Haenszel pooled estimates of relative risk (RR) and 95% confidence intervals (CIs) for all-cause death were assessed as the primary endpoint at the longest follow-up; incident coronary heart disease (CHD), heart failure (HF), and stroke were assessed as secondary endpoints. We also performed post hoc subgroup analyses stratified by age and a meta-regression analysis. Results We identified a total of 13 studies, including an overall population of 121 913 patients, with a median follow-up of 6 years. Compared with the absence of OH, the occurrence of OH was associated with a significantly increased risk of all-cause death (RR 1.50; 95% CI 1.24–1.81), incident CHD (RR 1.41; 95% CI 1.22–1.63), HF (RR 2.25; 95% CI 1.52–3.33), and stroke (RR 1.64; 95% CI 1.13–2.37). When analysed according to age, pooled estimates of RR (95% CI) for all-cause death were 1.78 (1.25–2.52) for patients <65 years old, and 1.26 (0.99–1.62) in the older subgroup. Conclusion Orthostatic hypotension is associated with a significantly increased risk of all-cause death, incident CHD, HF, and stroke.
Background. The independent prognostic significance of different indices of blood pressure (BP) variability is not clear. We investigated the prognosti