Evidence map›Paper›PMID 31414377›Full record

ArticleJournal of neuro-oncology2019

Global extracellular vesicle proteomic signature defines U87-MG glioma cell hypoxic status with potential implications for non-invasive diagnostics.

Vineesh Indira Chandran, Charlotte Welinder, Kelin Gonçalves de Oliveira, Myriam Cerezo-Magaña, Ann-Sofie Månsson, Maria C Johansson, Gyorgy Marko-Varga, Mattias Belting

Open access · hybridAbstract read
In one paragraph

Article in Journal of neuro-oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

24 citing papers in PubMed, 33 citations in OpenAlex.

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  10. Proteoglycans: a common portal for SARS-CoV-2 and extracellular vesicle uptake.American journal of physiology. Cell physiology · 2023
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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

8 authors at 2 institutions in 1 country.

Vineesh Indira ChandranDepartment of Clinical Sciences, Lund, Division of Oncology and Pathology, Lund University, Lund, Sweden. vineeshindirachandran@gmail.com.ORCID http://orcid.org/0000-0003-2160-9379
Charlotte WelinderDepartment of Clinical Sciences, Lund, Division of Oncology and Pathology, Lund University, Lund, Sweden.
Kelin Gonçalves de OliveiraDepartment of Clinical Sciences, Lund, Division of Oncology and Pathology, Lund University, Lund, Sweden.
Myriam Cerezo-MagañaDepartment of Clinical Sciences, Lund, Division of Oncology and Pathology, Lund University, Lund, Sweden.
Ann-Sofie MånssonDepartment of Clinical Sciences, Lund, Division of Oncology and Pathology, Lund University, Lund, Sweden.
Maria C JohanssonDepartment of Clinical Sciences, Lund, Division of Oncology and Pathology, Lund University, Lund, Sweden.
Gyorgy Marko-VargaDepartment of Biomedical Engineering, Clinical Protein Science & Imaging, Biomedical Center, Lund University, Lund, Sweden.
Mattias BeltingDepartment of Clinical Sciences, Lund, Division of Oncology and Pathology, Lund University, Lund, Sweden.
Lund University · SEUppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeGlioblastoma multiforme (GBM) is the most common and lethal of primary malignant brain tumors. Hypoxia constitutes a major determining factor for the poor prognosis of high-grade glioma patients, and is known to contribute to the development of treatment resistance. Therefore, new strategies to comprehensively profile and monitor the hypoxic status of gliomas are of high clinical relevance. Here, we have explored how the proteome of secreted extracellular vesicles (EVs) at the global level may reflect hypoxic glioma cells.

methodsWe have employed shotgun proteomics and label free quantification to profile EVs isolated from human high-grade glioma U87-MG cells cultured at normoxia or hypoxia. Parallel reaction monitoring was used to quantify the identified, hypoxia-associated EV proteins. To determine the potential biological significance of hypoxia-associated proteins, the cumulative Z score of identified EV proteins was compared with GBM subtypes from HGCC and TCGA databases.

resultsIn total, 2928 proteins were identified in EVs, out of which 1654 proteins overlapped with the ExoCarta EV-specific database. We found 1034 proteins in EVs that were unique to the hypoxic status of U87-MG cells. We subsequently identified an EV protein signature, "HYP

conclusionsWe propose, for the first time, an EV protein signature that could comprehensively reflect the hypoxic status of high-grade glioma cells. The presented data provide proof-of-concept for targeted proteomic profiling of glioma derived EVs, which should motivate future studies exploring its utility in non-invasive diagnosis and monitoring of brain tumor patients.

Indexed as

Extracellular VesiclesGliomaHumansHypoxiaNeoplasm ProteinsProteomeProteomicsTumor Cells, CulturedNeoplasm ProteinsProteomeExtracellular vesiclesGlioblastomaHypoxiaLabel free quantificationMass spectrometry

Identifiers

PMID31414377
PMCPMC6764937
OpenAlexW2967618252

What OpenQuestion holds

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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.