REAL

MMP-9 as Prognostic Marker for Brain Tumours: A Comparative Study on Serum-Derived Small Extracellular Vesicles

Dobra, Gabriella and Gyukity-Sebestyén, Edina and Bukva, Mátyás and Harmati, Mária and Nagy, Valentina and Szabó, Zoltán and Pankotai, Tibor and Klekner, Álmos and Buzás, Krisztina (2023) MMP-9 as Prognostic Marker for Brain Tumours: A Comparative Study on Serum-Derived Small Extracellular Vesicles. CANCERS, 15 (3). ISSN 2072-6694

[img]
Preview
Text
cancers-15-00712-v3.pdf

Download (3MB) | Preview

Abstract

Matrix metalloproteinase-9 (MMP-9) degrades the extracellular matrix, contributes to tumour cell invasion and metastasis, and its elevated level in brain tumour tissues indicates poor prognosis. High-risk tissue biopsy can be replaced by liquid biopsy; however, the blood–brain barrier (BBB) prevents tumour-associated components from entering the peripheral blood, making the development of blood-based biomarkers challenging. Therefore, we examined the MMP-9 content of small extracellular vesicles (sEVs)—which can cross the BBB and are stable in body fluids—to characterise tumours with different invasion capacity. From four patient groups (glioblastoma multiforme, brain metastases of lung cancer, meningioma, and lumbar disc herniation as controls), 222 serum-derived sEV samples were evaluated. After isolating and characterising sEVs, their MMP-9 content was measured by ELISA and assessed statistically (correlation, paired t-test, Welch’s test, ANOVA, ROC). We found that the MMP-9 content of sEVs is independent of gender and age, but is affected by surgical intervention, treatment, and recurrence. We found a relation between low MMP-9 level in sEVs (<28 ppm) and improved survival (8-month advantage) of glioblastoma patients, and MMP-9 levels showed a positive correlation with aggressiveness. These findings suggest that vesicular MMP-9 level might be a useful prognostic marker for brain tumours.

Item Type: Article
Additional Information: Laboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre, Eötvös Loránd Research Network (ELKH), Szeged, H-6726, Hungary Doctoral School of Interdisciplinary Medicine, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, H-6720, Hungary Department of Immunology, Albert Szent-Györgyi Medical School, Faculty of Science and Informatics, University of Szeged, Szeged, H-6720, Hungary Department of Medical Chemistry, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, H-6720, Hungary Institute of Pathology, Albert Szent-Györgyi Medical School, University of Szeged, Szeged, H-6720, Hungary Genome Integrity and DNA Repair Group, Hungarian Centre of Excellence for Molecular Medicine (HCEMM), University of Szeged, Szeged, H-6720, Hungary Department of Neurosurgery, Faculty of Medicine, University of Debrecen, Debrecen, H-4032, Hungary Export Date: 8 March 2023 Correspondence Address: Buzás, K.; Laboratory of Microscopic Image Analysis and Machine Learning, Hungary; email: buzas.krisztina@brc.hu
Subjects: Q Science / természettudomány > QH Natural history / természetrajz > QH301 Biology / biológia > QH3011 Biochemistry / biokémia
Q Science / természettudomány > QR Microbiology / mikrobiológia > QR180 Immunology / immunológia
R Medicine / orvostudomány > RC Internal medicine / belgyógyászat > RC0254 Neoplasms. Tumors. Oncology (including Cancer) / daganatok, tumorok, onkológia
SWORD Depositor: MTMT SWORD
Depositing User: MTMT SWORD
Date Deposited: 22 Sep 2023 10:43
Last Modified: 22 Sep 2023 10:43
URI: http://real.mtak.hu/id/eprint/174464

Actions (login required)

Edit Item Edit Item