Evidence map›Paper›PMID 30655832›Full record

ArticleOncology letters2019

Extracellular matrix differences in glioblastoma patients with different prognoses.

József Virga, László Szivos, Tibor Hortobágyi, Mahan Kouhsari Chalsaraei, Gábor Zahuczky, László Steiner, Judit Tóth, Judit Reményi-Puskár, László Bognár, Almos Klekner

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.6field-weighted citation impact, top 16% of its field
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

25 citing papers in PubMed, 38 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

József VirgaDepartment of Neurosurgery, Faculty of Medicine, University of Debrecen, H-4032 Debrecen, Hungary.
László SzivosDepartment of Neurosurgery, Faculty of Medicine, University of Debrecen, H-4032 Debrecen, Hungary.
Tibor HortobágyiMTA-DE Cerebrovascular and Neurodegenerative Research Group, Department of Neuropathology, Institute of Pathology, University of Debrecen, H-4032 Debrecen, Hungary.
Mahan Kouhsari ChalsaraeiMTA-DE Cerebrovascular and Neurodegenerative Research Group, Department of Neuropathology, Institute of Pathology, University of Debrecen, H-4032 Debrecen, Hungary.
Gábor ZahuczkyUD Genomed Ltd., H-4032 Debrecen, Hungary.
László SteinerUD Genomed Ltd., H-4032 Debrecen, Hungary.
Judit TóthDepartment of Oncology, Faculty of Medicine, University of Debrecen, H-4032 Debrecen, Hungary.
Judit Reményi-PuskárDepartment of Neurosurgery, Faculty of Medicine, University of Debrecen, H-4032 Debrecen, Hungary.
László BognárDepartment of Neurosurgery, Faculty of Medicine, University of Debrecen, H-4032 Debrecen, Hungary.
Almos KleknerDepartment of Neurosurgery, Faculty of Medicine, University of Debrecen, H-4032 Debrecen, Hungary.
University of Debrecen · HUUD-GenoMed (Hungary) · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma is the most common malignant central nervous system tumor. Patient outcome remains poor despite the development of therapy and increased understanding of the disease in the past decades. Glioma cells invade the peritumoral brain, which results in inevitable tumor recurrence. Previous studies have demonstrated that the extracellular matrix (ECM) is altered in gliomas and serves a major role in glioma invasion. The present study focuses on differences in the ECM composition of tumors in patients with poor and improved prognosis. The mRNA and protein expression of 16 invasion-associated ECM molecules was determined using reverse trascription-quantitiative polymerase chain reaction and immunohistochemistry, respectively. Clinical factors of patients with different prognoses was also analyzed. It was determined that age and postoperative Karnofsky performance score were associated with patient survival. Furthermore, Fms-related tyrosine kinase 4/vascular endothelial growth factor receptor 3 (FLT4/VEGFR3), murine double minute 2 (MDM2) and matrix metallopeptidase 2 (MMP2) mRNA levels were significantly different between the two prognostic groups. Additionally, brevican, cluster of differentiation 44, hyaluronan mediated motility receptor, integrin-αV and -β1, and MDM2 protein expression were indicated to be significantly different in immunohistochemistry slides. Using the expression profile, including the invasion spectrum of the samples, it was possible to identify the prognostic group of the sample with high efficacy, particularly in cases with poor prognosis. In conclusion, it was determined that ECM components exhibit different expression levels in tumors with different prognoses and thus the invasion spectrum can be used as a prognostic factor in glioblastoma.

Indexed as

expressionextracellular matrixglioblastomaprognosissurvival

Identifiers

PMID30655832
PMCPMC6313004
OpenAlexW2898874164

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.