Evidence map›Paper›PMID 40705199›Full record

ArticleJournal of neuro-oncology2025

Proteomic profiling reveals dynamic regulation of vesicle trafficking across glioma grades.

Tomasz Pienkowski, Patrycja Mojsak, Tomasz Kowalczyk, Dominik Cysewski, Mikolaj Krupa, Robert Rutkowski, Zenon Mariak, Adrian Godlewski, Joanna Reszec, Marcin Moniuszko and 3 more

Abstract read
In one paragraph

Article in Journal of neuro-oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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

13 authors.

Tomasz PienkowskiMetabolomics and Proteomics Laboratory, Clinical Research Centre, Medical University of Bialystok, M. Sklodowskiej-Curie 24A, Bialystok, 15-276, Poland. tomasz.pienkowski@umb.edu.pl.
Patrycja MojsakMetabolomics and Proteomics Laboratory, Clinical Research Centre, Medical University of Bialystok, M. Sklodowskiej-Curie 24A, Bialystok, 15-276, Poland.
Tomasz KowalczykMetabolomics and Proteomics Laboratory, Clinical Research Centre, Medical University of Bialystok, M. Sklodowskiej-Curie 24A, Bialystok, 15-276, Poland.
Dominik CysewskiMetabolomics and Proteomics Laboratory, Clinical Research Centre, Medical University of Bialystok, M. Sklodowskiej-Curie 24A, Bialystok, 15-276, Poland.
Mikolaj KrupaDepartment of Neurosugery, Medical University of Bialystok, Bialystok, 15-276, Poland.
Robert RutkowskiDepartment of Neurosugery, Medical University of Bialystok, Bialystok, 15-276, Poland.
Zenon MariakDepartment of Neurosugery, Medical University of Bialystok, Bialystok, 15-276, Poland.
Adrian GodlewskiMetabolomics and Proteomics Laboratory, Clinical Research Centre, Medical University of Bialystok, M. Sklodowskiej-Curie 24A, Bialystok, 15-276, Poland.
Joanna ReszecDepartment of Medical Pathomorphology, Medical University of Bialystok, Bialystok, 15-269, Poland.
Marcin MoniuszkoDepartment of Regenerative Medicine and Immune Regulation, Medical University of Bialystok, Bialystok, 15-269, Poland.
Adam KretowskiMetabolomics and Proteomics Laboratory, Clinical Research Centre, Medical University of Bialystok, M. Sklodowskiej-Curie 24A, Bialystok, 15-276, Poland.
Tomasz LysonDepartment of Neurosugery, Medical University of Bialystok, Bialystok, 15-276, Poland.
Michal CiborowskiMetabolomics and Proteomics Laboratory, Clinical Research Centre, Medical University of Bialystok, M. Sklodowskiej-Curie 24A, Bialystok, 15-276, Poland. michal.ciborowski@umb.edu.pl.

Funding

Ministerstwo Edukacji i Nauki Excellence Initiative - Research UniversityUniwersytet Medyczny w Bialymstoku B.SUB.24.241
6 · The paper itself

Abstract

purposeGliomas are highly heterogeneous central nervous system tumors that evolve through progressive molecular reprogramming. While cell proliferation and adhesion mechanisms are well-characterized, the contribution of vesicle trafficking to glioma progression remains underexplored. This study aimed to characterize proteomic changes across glioma grades.

methodsWe performed untargeted, quantitative proteomic profiling of glioma tissues across WHO grades I-IV using a combination of Tandem Mass Tag (TMT)-11plex labeling and high-resolution liquid chromatography-mass spectrometry (LC-MS). Tissue samples were processed using filter-aided sample preparation (FASP) and analyzed using a µPAC reverse-phase HPLC system coupled to a high-resolution mass spectrometer. Protein identification and quantification were conducted through database searching and validated against stringent quality control criteria.

resultsWe identified over 4,400 proteins across samples, revealing dynamic, grade-specific shifts in vesicle trafficking. Grade II gliomas showed upregulation of exocytic proteins (e.g., synaptotagmin, syntaxin, clathrin) and suppression of dynamin, suggesting enhanced vesicular secretion. Grade III tumors exhibited the opposite trend-marked downregulation of exocytic components with concurrent activation of clathrin-mediated endocytosis. Grade IV gliomas displayed a hybrid profile, with partial reactivation of exocytic machinery alongside sustained endocytic activity, indicative of vesicular plasticity.

conclusionThis study highlights the synaptic vesicle cycle as a progressively remodeled pathway in glioma biology. Our findings suggest that vesicle trafficking is a critical, underrecognized feature of glioma pathogenesis and may represent a novel axis for therapeutic exploration.

Indexed as

Brain NeoplasmsGliomaProteomicsFemaleHumansMaleMiddle AgedNeoplasm GradingTandem Mass SpectrometryGBMGliomaLC-MSProteomicsTMT-labeling

Identifiers

PMID40705199
PMCPMC12420692

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.