Evidence map›Paper›PMID 33469081›Full record

ArticleScientific reports2021

Potential biomarkers of childhood brain tumor identified by proteomics of cerebrospinal fluid from extraventricular drainage (EVD).

Maurizio Bruschi, Andrea Petretto, Armando Cama, Marco Pavanello, Martina Bartolucci, Giovanni Morana, Luca Antonio Ramenghi, Maria Luisa Garré, Gian Marco Ghiggeri, Isabella Panfoli and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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

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  18. Artificial intelligence applications in pediatric oncology diagnosis.Exploration of targeted anti-tumor therapy · 2023
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  19. Advances in the Treatment of Pediatric Brain Tumors.Children (Basel, Switzerland) · 2022
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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

11 authors.

Maurizio Bruschi *Laboratory of Molecular Nephrology, IRCCS Istituto Giannina Gaslini, Genoa, Italy.
Andrea Petretto *Core Facilities-Clinical Proteomics and Metabolomics, IRCCS Istituto Giannina Gaslini, Genoa, Italy.
Armando CamaDepartment of Neurosurgery, IRCCS Istituto Giannina Gaslini, Genoa, Italy.
Marco PavanelloDepartment of Neurosurgery, IRCCS Istituto Giannina Gaslini, Genoa, Italy.
Martina BartolucciCore Facilities-Clinical Proteomics and Metabolomics, IRCCS Istituto Giannina Gaslini, Genoa, Italy.
Giovanni MoranaUnit of Neuroradiology, IRCCS Istituto Giannina Gaslini, Genoa, Italy.
Luca Antonio RamenghiNeonatal Intensive Care Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy.
Maria Luisa GarréDepartment of Neuroncology, IRCCS Istituto Giannina Gaslini, Genoa, Italy.
Gian Marco GhiggeriUO of Nephrology, Dialysis and Transplantation, IRCCS Istituto Giannina Gaslini, Genoa, Italy.
Isabella PanfoliDipartimento di Farmacia (DIFAR), Università di Genova, V.le Benedetto XV, 3, 16132, Genoa, Italy. panfoli@difar.unige.it.
Giovanni CandianoLaboratory of Molecular Nephrology, IRCCS Istituto Giannina Gaslini, Genoa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain tumors are the most common solid tumors in childhood. There is the need for biomarkers of residual disease, therapy response and recurrence. Cerebrospinal fluid (CSF) is a source of brain tumor biomarkers. We analyzed the proteome of waste CSF from extraventricular drainage (EVD) from 29 children bearing different brain tumors and 17 controls needing EVD insertion for unrelated causes. 1598 and 1526 proteins were identified by liquid chromatography-coupled tandem mass spectrometry proteomics in CSF control and brain tumor patients, respectively, 263 and 191 proteins being exclusive of either condition. Bioinformatic analysis revealed promising protein biomarkers for the discrimination between control and tumor (TATA-binding protein-associated factor 15 and S100 protein B). Moreover, Thymosin beta-4 (TMSB4X) and CD109, and 14.3.3 and HSP90 alpha could discriminate among other brain tumors and low-grade gliomas plus glyoneuronal tumors/pilocytic astrocytoma, or embryonal tumors/medulloblastoma. Biomarkers were validated by ELISA assay. Our method was able to distinguish among brain tumor vs non-tumor/hemorrhagic conditions (controls) and to differentiate two large classes of brain tumors. Further prospective studies may assess whether the biomarkers proposed by our discovery approach can be identified in other bodily fluids, therefore less invasively, and are useful to guide therapy and predict recurrences.

Indexed as

Biomarkers, TumorBrain NeoplasmsCase-Control StudiesCerebral VentriclesChildChromatography, LiquidEnzyme-Linked Immunosorbent AssayHumansProteomicsSupport Vector MachineTandem Mass SpectrometryBiomarkers, Tumor

Identifiers

PMID33469081
PMCPMC7815722

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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.