Gianpiero Di Leva g.dileva@keele.ac.uk
Circulating Micrornas Predict Survival of Patients with Tumors of Glial Origin
Di Leva
Authors
Abstract
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.
Citation
Di Leva. (2018). Circulating Micrornas Predict Survival of Patients with Tumors of Glial Origin. EBioMedicine, 105 -112. https://doi.org/10.1016/j.ebiom.2018.03.022
Acceptance Date | Mar 20, 2018 |
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Publication Date | Apr 1, 2018 |
Journal | EBioMedicine |
Publisher | Elsevier |
Pages | 105 -112 |
DOI | https://doi.org/10.1016/j.ebiom.2018.03.022 |
Keywords | microRNA, CNS tumors, Serum, Biomarkers, Diagnosis, Prognosis |
Publisher URL | https://doi.org/10.1016/j.ebiom.2018.03.022 |
Files
Drusco et al 2018 PIIS2352396418301099.pdf
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Publisher Licence URL
https://creativecommons.org/licenses/by-nc-nd/4.0/
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