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- W2998108732 endingPage "105652" @default.
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- W2998108732 abstract "Glioblastoma (GBM) is the most common primary malignant neoplasm of the central nervous system (CNS). Despite the progress in therapeutic strategies such as surgical techniques, radiotherapy, chemotherapy, and targeted therapy, prognosis and therapeutically convenient monitoring tools in patients with GBM has not improved significantly up to now.Therefore, exosomal miRNAs as novel non-invasive biomarkers having high sensitivity and specificity are required to improve diagnosis and to develop new targeted therapy strategies for GBM patients. The aim of the present study was to investigate a novel miRNA signature as a predictive biomarker for diagnosis and measurement of response to therapeutic interventions in plasma of GBM patients versus traumatic brain injury and diffuse low-grade astrocytoma (LGA) patients. Plasma exosomal-microRNAs were isolated from GBM (n = 25), LGA (n = 25), and head trauma patients (n = 15) as non-glioma control from March 2017 to June 2018 in Department of Neurosurgery at Rasoul-e-Akram Hospital. Through a bioinformatics analysis, we used Miranda, TargetScan, mirBase, DIANA-microT-CDS, and KEGG database as well as microarray data analysis from GEO for microRNA candidates. Finally, miR-210, miR-185, miR-5194, and miR-449 were selected among those miRNAs because they were recorded to target the maximum number of genes in EGFR and c-MET signaling pathways. Then, exosomal microRNAs were extracted from plasma of patients and quantitated by locked nucleic acid real-time PCR in GBM, LGA, and trauma patients. This result is the first report on the role of circulating miR-185, miR-449, and miR-5194 in GBM compared to LGA and trauma. The plasma expression of miR-210 as an oncogenic miR was upregulated in GBM and LGA groups (P < 0.0001). Otherwise, miR-185, miR-5194, and miR-449 were significantly downregulated (P ≤ 0.05) in GBM and LGA compared to trauma patients. There was no significant downregulation in the expression of miR-185 between GBM and LGA, while the expression of miR-5194 (P ≤ 0.05) and miR-449 (P ≤ 0.05) was significantly decreased in GBM patients compared with LGA. These results indicate that the levels of miR-210, miR-449, and miR-5194 are a promising diagnostic and prognostic biomarker positively correlated with histopathological grade and invasiveness of GBM. These findings imply that circulating microRNA can be potentially used as novel biomarkers for glioma that might be beneficial in clinical management of glioma patients." @default.
- W2998108732 created "2020-01-10" @default.
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- W2998108732 date "2020-03-01" @default.
- W2998108732 modified "2023-10-02" @default.
- W2998108732 title "Profiling of novel circulating microRNAs as a non-invasive biomarker in diagnosis and follow-up of high and low-grade gliomas" @default.
- W2998108732 cites W1448866238 @default.
- W2998108732 cites W1699325111 @default.
- W2998108732 cites W1812256879 @default.
- W2998108732 cites W1922364744 @default.
- W2998108732 cites W1929984647 @default.
- W2998108732 cites W1948215485 @default.
- W2998108732 cites W1969656021 @default.
- W2998108732 cites W1972840121 @default.
- W2998108732 cites W1975992482 @default.
- W2998108732 cites W1977392502 @default.
- W2998108732 cites W1979134190 @default.
- W2998108732 cites W1980497534 @default.
- W2998108732 cites W1989448072 @default.
- W2998108732 cites W1990596031 @default.
- W2998108732 cites W1994901446 @default.
- W2998108732 cites W1996402225 @default.
- W2998108732 cites W1996415723 @default.
- W2998108732 cites W2001502548 @default.
- W2998108732 cites W2008250297 @default.
- W2998108732 cites W2030701238 @default.
- W2998108732 cites W2032735323 @default.
- W2998108732 cites W2032836679 @default.
- W2998108732 cites W2034500416 @default.
- W2998108732 cites W2040147525 @default.
- W2998108732 cites W2041532314 @default.
- W2998108732 cites W2050683482 @default.
- W2998108732 cites W2052365546 @default.
- W2998108732 cites W2057346914 @default.
- W2998108732 cites W2063730216 @default.
- W2998108732 cites W2082727723 @default.
- W2998108732 cites W2085554170 @default.
- W2998108732 cites W2087898932 @default.
- W2998108732 cites W2090664398 @default.
- W2998108732 cites W2096287682 @default.
- W2998108732 cites W2099467660 @default.
- W2998108732 cites W2109617340 @default.
- W2998108732 cites W2109816625 @default.
- W2998108732 cites W2129269004 @default.
- W2998108732 cites W2133968430 @default.
- W2998108732 cites W2135687976 @default.
- W2998108732 cites W2141672197 @default.
- W2998108732 cites W2141923913 @default.
- W2998108732 cites W2142623709 @default.
- W2998108732 cites W2150291313 @default.
- W2998108732 cites W2156153918 @default.
- W2998108732 cites W2160382843 @default.
- W2998108732 cites W2161289668 @default.
- W2998108732 cites W2197622426 @default.
- W2998108732 cites W2410481617 @default.
- W2998108732 cites W2526011086 @default.
- W2998108732 cites W2540154923 @default.
- W2998108732 cites W2547358231 @default.
- W2998108732 cites W2552834147 @default.
- W2998108732 cites W2552916807 @default.
- W2998108732 cites W2590936958 @default.
- W2998108732 cites W2594664085 @default.
- W2998108732 cites W2611453564 @default.
- W2998108732 cites W2620989296 @default.
- W2998108732 cites W2626072141 @default.
- W2998108732 cites W2746162404 @default.
- W2998108732 cites W2765199261 @default.
- W2998108732 cites W2766773147 @default.
- W2998108732 cites W2768280549 @default.
- W2998108732 cites W2800084274 @default.
- W2998108732 cites W2801007594 @default.
- W2998108732 cites W2804191563 @default.
- W2998108732 cites W2894662202 @default.
- W2998108732 cites W2898145573 @default.
- W2998108732 cites W2901536308 @default.
- W2998108732 cites W2908079756 @default.
- W2998108732 cites W2908967960 @default.
- W2998108732 cites W2950967139 @default.
- W2998108732 cites W3104604121 @default.
- W2998108732 cites W4244344354 @default.
- W2998108732 cites W4250899941 @default.
- W2998108732 doi "https://doi.org/10.1016/j.clineuro.2019.105652" @default.
- W2998108732 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31896490" @default.
- W2998108732 hasPublicationYear "2020" @default.
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