Evidence map›Paper›PMID 39594703›Full record

ArticleCancers2024

Exploring Extracellular Vesicle Surface Protein Markers Produced by Glioblastoma Tumors: A Characterization Study Using In Vitro 3D Patient-Derived Cultures.

Sara Franceschi, Francesca Lessi, Mariangela Morelli, Michele Menicagli, Paolo Aretini, Carlo Gambacciani, Francesco Pieri, Gianluca Grimod, Maria Grazia Trapanese, Silvia Valenti and 5 more

Abstract read
In one paragraph

Article in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
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  8. Review
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

15 authors.

Sara FranceschiFondazione Pisana per la Scienza, 56017 Pisa, Italy.ORCID 0000-0002-4246-4407
Francesca LessiFondazione Pisana per la Scienza, 56017 Pisa, Italy.ORCID 0000-0002-3346-4296
Mariangela MorelliFondazione Pisana per la Scienza, 56017 Pisa, Italy.ORCID 0000-0001-8796-4037
Michele MenicagliFondazione Pisana per la Scienza, 56017 Pisa, Italy.
Paolo AretiniFondazione Pisana per la Scienza, 56017 Pisa, Italy.ORCID 0000-0003-1075-4319
Carlo GambaccianiDepartment of Neurosurgery, Spedali Riuniti di Livorno, 57124 Livorno, Italy.ORCID 0000-0001-9271-6070
Francesco PieriDepartment of Neurosurgery, Spedali Riuniti di Livorno, 57124 Livorno, Italy.
Gianluca GrimodDepartment of Neurosurgery, Spedali Riuniti di Livorno, 57124 Livorno, Italy.
Maria Grazia TrapaneseDepartment of Radiation Oncology, Azienda Ospedaliera Universitaria Pisana, University of Pisa, 56126 Pisa, Italy.
Silvia ValentiDepartment of Radiation Oncology, Azienda Ospedaliera Universitaria Pisana, University of Pisa, 56126 Pisa, Italy.
Fabiola PaiarDepartment of Radiation Oncology, Azienda Ospedaliera Universitaria Pisana, University of Pisa, 56126 Pisa, Italy.
Anna Luisa Di StefanoDepartment of Neurosurgery, Spedali Riuniti di Livorno, 57124 Livorno, Italy.
Orazio Santo SantonocitoDepartment of Neurosurgery, Spedali Riuniti di Livorno, 57124 Livorno, Italy.
Francesco PasqualettiDepartment of Radiation Oncology, Istituto Oncologico Veneto IOV-IRCCS, 35128 Padova, Italy.ORCID 0000-0002-0788-1205
Chiara Maria MazzantiFondazione Pisana per la Scienza, 56017 Pisa, Italy.ORCID 0000-0002-7249-9221

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesGlioblastoma (GBM) is an aggressive brain cancer with limited treatment options. Extracellular vesicles (EVs) derived from GBM cells contain important biomarkers, such as microRNAs, proteins, and DNA mutations, which are involved in tumor progression, invasion, and resistance to treatment. Identifying surface markers on these EVs is crucial for their isolation and potential use in noninvasive diagnosis. This study aimed to use tumor-derived explants to investigate the surface markers of EVs and explore their role as diagnostic biomarkers for GBM.

methodsTumor explants from nine GBM patients without IDH1/IDH2 mutations or 1p-19q co-deletion were cultured to preserve both tumor viability and cytoarchitecture. EVs were collected from the tumor microenvironment using differential centrifugation, filtration, and membrane affinity binding. Their surface protein composition was analyzed through multiplex protein assays. RNA-Seq data from TCGA and GTEx datasets, along with in silico single-cell RNA-seq data, were used to assess EV surface biomarker expression across large GBM patient cohorts.

resultsThe in vitro model successfully replicated the tumor microenvironment and produced EVs with distinct surface markers. Biomarker analysis in large datasets revealed specific expression patterns unique to GBM patients compared with healthy controls. These markers demonstrated potential as a GBM-specific signature and were correlated with clinical data. Furthermore, in silico single-cell RNA-seq provided detailed insights into biomarker distribution across different cell types within the tumor.

conclusionsThis study underscores the efficacy of the tumor-derived explant model and its potential to advance the understanding of GBM biology and EV production. A key innovation is the isolation of EVs from a model that faithfully mimics the tumor's original cytoarchitecture, offering a deeper understanding of the cells involved in EV release. The identified EV surface markers represent promising targets for enhancing EV isolation and optimizing their use as diagnostic tools. Moreover, further investigation into their molecular cargo may provide crucial insights into tumor characteristics and evolution.

Indexed as

extracellular vesiclesglioblastomasurface markerstumor-derived explantstumor microenvironment

Identifiers

PMID39594703
PMCPMC11592176

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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.