Circulating microRNAs predict survival of patients with tumors of glial origin

Drusco, A, Fadda, P, Nigita, G, Fassan, M, Bottoni, A, Gardiman, MP, Saachi, D, Calore, F, Carosi, M, Antenucci, A, Casini, B, Kelani, H, Pescarmona, E, Di Leva, G, Zanesi, N, Berger, MS and Croce, CM 2018, 'Circulating microRNAs predict survival of patients with tumors of glial origin' , EBioMedicine, 30 , pp. 105-112.

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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.

Item Type: Article
Schools: Schools > School of Environment and Life Sciences > Biomedical Research Centre
Journal or Publication Title: EBioMedicine
Publisher: Elsevier
ISSN: 2352-3964
Related URLs:
Depositing User: G Di Leva
Date Deposited: 23 Apr 2018 12:42
Last Modified: 02 Jun 2018 18:13
URI: http://usir.salford.ac.uk/id/eprint/46816

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