Project description:The World Health Organization has recently introduced molecular prognostic-diagnostic biomarkers in the classification of Central Nervous System (CNS) tumors. In order to characterize subclasses of tumors that cannot find a precise location in the current classification, and, or cannot be tested because of scant material, it is important to find new molecular biomarkers in tissue and, or biological fluid samples. In this study, we identified serum microRNAs that could serve as biomarkers for the diagnosis and prognosis of patients with tumors of glial origin. We retrospectively analyzed microRNA expression in the serum extracellular vesicles of patients with tumors of glial origin. Extracellular vesicles RNA was analyzed by Nanostring. qRT-PCR confirmed 6 overexpressed microRNAs: hsa-miR-4443, hsa-miR-422a, hsa-miR-494-3p, hsa-miR-502-5p, hsa-miR-520f-3p, and hsa-miR-549a. Hsa-miR-4443 was the only microRNA that showed significant differences in most comparisons. In situ hybridization (ISH), confirmed that our signature was mostly expressed in cancer cells. Importantly, hsa-miR-549a and hsa-miR-502-5p expression predicted prognosis in patients with tumors of glial origin. Although more studies are needed, we demonstrated that serum vesicles microRNA profiles are promising diagnostic and prognostic molecular biomarkers that will find an actual application in the clinical practice of CNS tumors.
Project description:We analyzed serum extracellular vescicles (SEV) of 28 patients with glioma tumors and 8 normal samples by Nanostring, and validated a microRNA profile that can differentiate between and among some classes of CNS tumors.
Project description:Comparison of circulating miRNA levels in patients who experienced rapid biochemical recurrence or no recurrence following radical prostatectomy qRT-PCR miRNA expression profiling of patient serum
Project description:Comparison of circulating miRNA levels in patients who experienced rapid biochemical recurrence or no recurrence following radical prostatectomy
Project description:We report the presence of circulating miRNAs released by the filarial nematode Dirofilaria immitis into the host (Canis familiaris) bloodstream. MiRNA deep-sequencing combined with bioinformatics revealed over 200 mature miRNA sequences of potential nematode origin in Dirofilaria immitis-infected dog plasma in two independent analyses
Project description:Patients treated with radiotherapy to the chest region are at risk of cardiac sequelae, however, identification of those with greatest risk of complications remains difficult. Here, we sought to determine whether short-term changes in circulating miRNA expression are related to measures of cardiac dysfunction in follow-up. miRNA expression analysis in the primary group showed marked changes in serum miRNAs immediately after RT compared to baseline. miRNAs with increased expression correlated positively with cardiopulmonary dose-volume histogram metrics, while those with decreased expression exhibited negative correlations.
Project description:Studies of miRNA profiling to predict outcome in cardiac arrest patients treated with therapeutic hypothermia (TH) Venous blood was collected in citrated tubes prior discharge. Plasma was harvested by centrifugation and stored at -80°C until assayed. Identical volumes of plasma from the 14 patients of a group (cerebral performance category (CPC): 1-2 or CPC: 3-5) were pooled to reach a final volume of 400µL for each group. The two pools were processed conjointly. Total RNA was extracted using miRVana isolation kit (Applied Biosystems), dephosphorylated and labeled using miRNA Complete Labeling and hybridization kit (Agilent). Hybridization was performed on miRNA Human Microarray Release 12.0 slides (Agilent). 4 arrays per pool were hybridized. Scanning was achieved with the Genepix 4000B Scanner (Molecular Devices, Sunnyvale, USA). Raw data were acquired with the Genepix Pro software (Molecular Devices).
Project description:Carcinomas of unknown primary origin constitute 3-5% of all newly diagnosed metastatic cancers, of which the primary source is difficult to classify with current histological methods. Effective cancer treatment depends on early and accurate identification of the tumor, which is why patients with metastases of unknown origin have poor prognosis and short survival. Because microRNA expression is highly tissue specific, the microRNA profile of a metastasis may be used to identify its origin. As a first step to realize this goal, we evaluated the potential of microRNA profiling for identification of the primary tumor of known metastases. 208 formalin-fixed paraffin-embedded samples representing 15 different histologies were profiled on an LNA-enhanced microarray platform, which allows for highly sensitive and specific detection of microRNA. Based on these data, we developed and cross-validated a novel classification algorithm, LASSO (Least Absolute Shrinkage and Selection Operator), which had an overall accuracy of 85%. When the classifier was applied on an independent test set of 48 metastases, the primary site was correctly identified in 42 cases (88% accuracy). Our findings suggest that microRNA expression profiling on paraffin tissue can efficiently predict the primary origin of a tumor, and may provide pathologists with a molecular diagnostic tool that can improve their capability to correctly identify the origin of hitherto unidentifiable metastatic tumors, and eventually, enable tailored therapy. 94 samples