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https://hdl.handle.net/2445/222858
Title: | RNU6-1 in circulating exosomes differentiates GBM from non-neoplastic brain lesions and PCNSL but not from brain metastases |
Author: | Puigdelloses, Montserrat González-huárriz, Marisol García-moure, Marc Martínez-vélez, Naiara Esparragosa Vázquez, Inés Bruna, Jordi Zandio, Beatriz Agirre, Amaia Marigil, Miguel Petrirena, Gregorio M Nuñez-córdoba, Jorge Tejada-solís, Sonia Díez-valle, Ricardo Gállego-culleré, Jaime Martínez-vila, Eduardo Patiño-garcía, Ana M Alonso, Marta Gállego Pérez-larraya, Jaime |
Issue Date: | 1-Jan-2020 |
Publisher: | Oxford University Press (OUP) |
Abstract: | Background. Glioblastoma (GBM) is the most common malignant primary brain tumor in adults. Circulating biomarkers may assist in the processes of differential diagnosis and response assessment. GBM cells release extracellular vesicles containing a subset of proteins and nucleic acids. We previously demonstrated that exosomes isolated from the serum of GBM patients had an increased expression of RNU6-1 compared to healthy subjects. In this exploratory study, we investigated the role of this small noncoding RNA as a diagnostic biomarker for GBM versus other brain lesions with some potential radiological similarities. Methods. We analyzed the expression of RNU6-1 in circulating exosomes of GBM patients (n = 18), healthy controls (n = 30), and patients with subacute stroke (n = 30), acute/subacute hemorrhage (n = 30), acute demyelinatinglesions (n = 18), brain metastases (n = 21), and primary central nervous system lymphoma (PCNSL; n = 12) using digital droplet PCR. Results. Expression of RNU6-1 was significantly higher in GBM patients than in healthy controls (P = .002).RNU6-1 levels were also significantly higher in exosomes from GBM patients than from patients with nonneoplastic lesions (stroke [P = .05], hemorrhage [P = .01], demyelinating lesions [P = .019]) and PCNSL (P = .004).In contrast, no significant differences were found between patients with GBM and brain metastases (P = .573).Receiver operator characteristic curve analyses supported the role of this biomarker in differentiating GBM from |
Note: | Reproducció del document publicat a: https://doi.org/10.1093/noajnl/vdaa010 |
It is part of: | Neuro-Oncology Advances, 2020, vol. 2, issue. 1 |
URI: | https://hdl.handle.net/2445/222858 |
Related resource: | https://doi.org/10.1093/noajnl/vdaa010 |
Appears in Collections: | Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL)) |
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