Evidence map›Paper›PMID 36765669›Full record

ArticleCancers2023

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

Gabriella Dobra, Edina Gyukity-Sebestyén, Mátyás Bukva, Mária Harmati, Valentina Nagy, Zoltán Szabó, Tibor Pankotai, Álmos Klekner, Krisztina Buzás

Abstract read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  18. Innovation in Non-Invasive Diagnosis and Disease Monitoring for Meningiomas.International journal of molecular sciences · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Gabriella DobraLaboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre, Eötvös Loránd Research Network (ELKH), H-6726 Szeged, Hungary.
Edina Gyukity-SebestyénLaboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre, Eötvös Loránd Research Network (ELKH), H-6726 Szeged, Hungary.
Mátyás BukvaLaboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre, Eötvös Loránd Research Network (ELKH), H-6726 Szeged, Hungary.
Mária HarmatiLaboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre, Eötvös Loránd Research Network (ELKH), H-6726 Szeged, Hungary.ORCID 0000-0002-4875-5723
Valentina NagyLaboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre, Eötvös Loránd Research Network (ELKH), H-6726 Szeged, Hungary.
Zoltán SzabóDepartment of Medical Chemistry, Albert Szent-Györgyi Medical School, University of Szeged, H-6720 Szeged, Hungary.ORCID 0000-0001-8278-8038
Tibor PankotaiInstitute of Pathology, Albert Szent-Györgyi Medical School, University of Szeged, H-6720 Szeged, Hungary.ORCID 0000-0001-9810-5465
Álmos KleknerDepartment of Neurosurgery, Faculty of Medicine, University of Debrecen, H-4032 Debrecen, Hungary.
Krisztina BuzásLaboratory of Microscopic Image Analysis and Machine Learning, Institute of Biochemistry, Biological Research Centre, Eötvös Loránd Research Network (ELKH), H-6726 Szeged, Hungary.

Funding

Economic Development and Innovation Operative Programmes GINOP-2.2.1-15-2017-00052EU's Horizon 2020 research and innovation funding programme 739593Ministry for Innovation and Technology ÚNKP-22-3Ministry of Innovation and Technology ÚNKP-22-5-SZTE-318National Research, Development and Innovation Office NAP 2.0 National Brain Research ProgramNational Research, Development and Innovation Office OTKA-K143255National Research, Development and Innovation Office TKP-2021-EGA-09University of Szeged Szent-Györgyi Albert Research Fund
6 · The paper itself

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

Indexed as

brain tumourcentral nervous system diseasesglioblastomaliquid biopsymatrix metalloproteinase-9prognostic markersmall extracellular vesiclessurvival

Identifiers

PMID36765669
PMCPMC9913777

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.