Evidence map›Paper›PMID 40802142›Full record

ArticleDiscover oncology2025

Metabolomics-based liquid biopsy reflects molecular alterations induced by meningioma.

Gabriel A Kurokawa, Pedro T Hamamoto Filho, Aline F Galvani, Jeany Delafiori, Arthur N de Oliveira, Flavia L Dias-Audibert, Rodrigo R Catharino, Marco A Zanini, Adriana C Ferrasi, Estela O Lima

Abstract read
In one paragraph

Article in Discover 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. 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

10 authors.

Gabriel A KurokawaLaboratory of Molecular Analysis and Neuro-oncology, Experimental Research Unit, Botucatu Medical School, São Paulo State University, São Paulo, SP, Brazil.
Pedro T Hamamoto FilhoLaboratory of Molecular Analysis and Neuro-oncology, Experimental Research Unit, Botucatu Medical School, São Paulo State University, São Paulo, SP, Brazil.
Aline F GalvaniLaboratory of Molecular Analysis and Neuro-oncology, Experimental Research Unit, Botucatu Medical School, São Paulo State University, São Paulo, SP, Brazil.
Jeany DelafioriInnovare Biomarkers Laboratory, School of Pharmaceutical Sciences, University of Campinas, Campinas, Brazil.
Arthur N de OliveiraInnovare Biomarkers Laboratory, School of Pharmaceutical Sciences, University of Campinas, Campinas, Brazil.
Flavia L Dias-AudibertInnovare Biomarkers Laboratory, School of Pharmaceutical Sciences, University of Campinas, Campinas, Brazil.
Rodrigo R CatharinoInnovare Biomarkers Laboratory, School of Pharmaceutical Sciences, University of Campinas, Campinas, Brazil.
Marco A ZaniniDepartment of Neurosciences and Mental Health, Botucatu Medical School, São Paulo State University, Botucatu, Brazil.
Adriana C FerrasiLaboratory of Molecular Analysis and Neuro-oncology, Experimental Research Unit, Botucatu Medical School, São Paulo State University, São Paulo, SP, Brazil.
Estela O LimaLaboratory of Molecular Analysis and Neuro-oncology, Experimental Research Unit, Botucatu Medical School, São Paulo State University, São Paulo, SP, Brazil. estela.lima@unesp.br.

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 313047/2023-5Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 88887.661164/2022-00Fundação de Amparo à Pesquisa do Estado de São Paulo 2018/14657-5Fundação de Amparo à Pesquisa do Estado de São Paulo 2019/05718-3
6 · The paper itself

Abstract

Meningiomas (MGMs) account for around 36% of all primary central nervous system tumors. Currently, imaging techniques are the primary method for detecting the presence of MGM, even when it recurs. This study aimed to identify plasma metabolites related to the presence of MGM, searching for a simpler approach to detect molecular alterations in the blood linked to MGM. For that, plasma samples were evaluated through untargeted metabolomics using Mass Spectrometry. Analysis was performed on samples from 51 MGM patients and 50 healthy individuals to identify tumor-related metabolites, which were later identified through tandem mass spectrometry, database verification, and scientific literature. The selected molecules were verified for their potential as MGM biomarkers through Area Under the Curve (AUC) analyses. Three metabolites with the potential to act as MGM biomarkers were identified: hydroxymethyluracil (m/z 143; AUC = 0.93), ganglioside (m/z 1116; AUC = 0.81), and sulfatide (m/z 931; AUC = 0.682). The AUC values for hydroxymethyluracil and ganglioside suggest that these molecules have the potential to differentiate patients with MGM from healthy individuals. These results open a new possibility for identifying tumor biomarkers in the plasma of patients with MGM, especially considering the prospect of patient follow-up.

Indexed as

BiomarkersLiquid biopsyMeningiomaMetabolomicsPlasma

Identifiers

PMID40802142
PMCPMC12350971

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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.