The Prognostic Value of Plasma Small Extracellular Vesicles' Phenotype in Patients With Gastrointestinal Stromal Tumor.

BACKGROUND/AIM: For patients with local gastrointestinal stromal tumor (GIST), risk stratification is used to assess the prognosis and identify patients to offer adjuvant treatment. For patients with advanced or metastatic GIST, no such risk stratification exists. This study aimed to investigate the prognostic value of 31 different plasma small extracellular vesicles' (SEVs) surface proteins in GIST patients. MATERIALS AND METHODS: GIST patients from the two sarcoma centers in Denmark were included. Patients were divided into three groups; group 1: patients undergoing radical surgery; group 2: patients with local, locally advanced, or metastatic GIST; and group 3: patients without evidence of disease after radical surgery. Protein microarray technology was used for the analysis of plasma SEVs. The median plasma SEV marker level was used when comparing groups of patients. The primary endpoint was the progression of GIST. Iterative statistical modeling was used to identify a SEV marker profile/model with a prognostic value. RESULTS: A total of 157 patients were included, with a median follow-up time of 2.05 years. In group 2, a high level of carcinoembryonic antigen (CEA) and a low level of glucose transporter 1 (GLUT-1) were found to be poor prognostic factors [univariate analysis; GLUT-1: hazard ratio (HR)=0.47, 95% confidence interval (CI)=0.22-0.98; CEA: HR=2.12, 95%CI=1.02-4.44]. Composing a model consisting of CEA and GLUT-1 adjusted for age at inclusion was found to have a prognostic value (HR=4.93, 95%CI=2.30-10.57, p<0.0001). CONCLUSION: Plasma SEVs in GIST showed that CEA and GLUT-1 might be of prognostic value. However, external validation is needed.

Elevated blood plasma levels of tissue factor-bearing extracellular vesicles in patients with atrial fibrillation.

BACKGROUND: The risk of thrombus formation in the left atrial appendage (LAA) in patients with atrial fibrillation (AF) may result from blood stasis, local endocardial changes, and/or changed blood composition. Extracellular vesicles (EVs), especially subtypes exposing tissue factor (TF), have procoagulant capacity. We hypothesized that blood concentrations of TF-bearing EVs and other procoagulant biomarkers are elevated in AF patients, particularly in the LAA lumen. METHODS: From 13 AF patients and 12 controls a venous blood sample was drawn prior to cardiac surgery. Intraoperatively, venous blood and blood directly from the LAA was drawn. Plasma levels of EVs, including TF- and cell type specific antigen-bearing EVs, were measured using a protein microarray platform. Plasma levels of TF, von Willebrand factor (vWF), cell free deoxyribonucleic acid (cf-DNA), procoagulant phospholipids (PPLs), and total submicron particles were also evaluated. RESULTS: Significantly higher EV levels, including a several-fold higher median level of TF-bearing EVs were measured in AF patients compared with controls. Median concentrations of TF and vWF were approximately 40% and 30% higher, respectively, in the AF group than in the control group, while no significant differences in levels of cf-DNA, PPLs, or total submicron particles were observed. No significant differences in levels of any of the measured analytes were observed between intraoperative venous and LAA samples. CONCLUSIONS: Increased plasma concentrations of TF in AF patients are accompanied and probably at least partly explained by increased levels of TF-bearing EVs, which may be mechanistically involved in increased thrombogenicity in AF patients.

Age-Related Changes in Plasma Extracellular Vesicle Characteristics and Internalization by Leukocytes.

Cells release lipid-bound extracellular vesicles (EVs; exosomes, microvesicles and apoptotic bodies) containing proteins, lipids and RNAs into the circulation. Vesicles mediate intercellular communication between both neighboring and distant cells. There is substantial interest in using EVs as biomarkers for age-related diseases including cancer, and neurodegenerative, metabolic and cardiovascular diseases. The majority of research focuses on identifying differences in EVs when comparing disease states and matched controls. Here, we analyzed circulating plasma EVs in a cross-sectional and longitudinal study in order to address age-related changes in community-dwelling individuals. We found that EV concentration decreases with advancing age. Furthermore, EVs from older individuals were more readily internalized by B cells and increased MHC-II expression on monocytes compared with EVs from younger individuals, indicating that the decreased concentration of EVs with age may be due in part to increased internalization. EVs activated both monocytes and B cells, and activation of B cells by LPS enhanced EV internalization. We also report a relative stability of EV concentration and protein amount in individual subjects over time. Our data provide important information towards establishing a profile of EVs with human age, which will further aid in the development of EV-based diagnostics for aging and age-related diseases.

Exosomal proteins as potential diagnostic markers in advanced non-small cell lung carcinoma.

BACKGROUND: Lung cancer is one of the leading causes of cancer-related death. At the time of diagnosis, more than half of the patients will have disseminated disease and, yet, diagnosing can be challenging. New methods are desired to improve the diagnostic work-up. Exosomes are cell-derived vesicles displaying various proteins on their membrane surfaces. In addition, they are readily available in blood samples where they constitute potential biomarkers of human diseases, such as cancer. Here, we examine the potential of distinguishing non-small cell lung carcinoma (NSCLC) patients from control subjects based on the differential display of exosomal protein markers. METHODS: Plasma was isolated from 109 NSCLC patients with advanced stage (IIIa-IV) disease and 110 matched control subjects initially suspected of having cancer, but diagnosed to be cancer free. The Extracellular Vesicle Array (EV Array) was used to phenotype exosomes directly from the plasma samples. The array contained 37 antibodies targeting lung cancer-related proteins and was used to capture exosomes, which were visualised with a cocktail of biotin-conjugated CD9, CD63 and CD81 antibodies. RESULTS: The EV Array analysis was capable of detecting and phenotyping exosomes in all samples from only 10 µL of unpurified plasma. Multivariate analysis using the Random Forests method produced a combined 30-marker model separating the two patient groups with an area under the curve of 0.83, CI: 0.77-0.90. The 30-marker model has a sensitivity of 0.75 and a specificity of 0.76, and it classifies patients with 75.3% accuracy. CONCLUSION: The EV Array technique is a simple, minimal-invasive tool with potential to identify lung cancer patients.