Differential Plasma Metabolites between High- and Low-Grade Meningioma Cases

Detalhes bibliográficos
Autor(a) principal: Kurokawa, Gabriel A. [UNESP]
Data de Publicação: 2023
Outros Autores: Hamamoto Filho, Pedro T. [UNESP], Delafiori, Jeany, Galvani, Aline F. [UNESP], de Oliveira, Arthur N., Dias-Audibert, Flávia L., Catharino, Rodrigo R., Pardini, Maria Inês M. C. [UNESP], Zanini, Marco A. [UNESP], Lima, Estela de O. [UNESP], Ferrasi, Adriana C. [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.3390/ijms24010394
http://hdl.handle.net/11449/248167
Resumo: Meningiomas (MGMs) are currently classified into grades I, II, and III. High-grade tumors are correlated with decreased survival rates and increased recurrence rates. The current grading classification is based on histological criteria and determined only after surgical tumor sampling. This study aimed to identify plasma metabolic alterations in meningiomas of different grades, which would aid surgeons in predefining the ideal surgical strategy. Plasma samples were collected from 51 patients with meningioma and classified into low-grade (LG) (grade I; n = 43), and high-grade (HG) samples (grade II, n = 5; grade III, n = 3). An untargeted metabolomic approach was used to analyze plasma metabolites. Statistical analyses were performed to select differential biomarkers among HG and LG groups. Metabolites were identified using tandem mass spectrometry along with database verification. Five and four differential biomarkers were identified for HG and LG meningiomas, respectively. To evaluate the potential of HG MGM metabolites to differentiate between HG and LG tumors, a receiving operating characteristic curve was constructed, which revealed an area under the curve of 95.7%. This indicates that the five HG MGM metabolites represent metabolic alterations that can differentiate between LG and HG meningiomas. These metabolites may indicate tumor grade even before the appearance of histological features.
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spelling Differential Plasma Metabolites between High- and Low-Grade Meningioma Casesbiomarkersgradingmeningiomametabolomicsplasma samplesscreeningMeningiomas (MGMs) are currently classified into grades I, II, and III. High-grade tumors are correlated with decreased survival rates and increased recurrence rates. The current grading classification is based on histological criteria and determined only after surgical tumor sampling. This study aimed to identify plasma metabolic alterations in meningiomas of different grades, which would aid surgeons in predefining the ideal surgical strategy. Plasma samples were collected from 51 patients with meningioma and classified into low-grade (LG) (grade I; n = 43), and high-grade (HG) samples (grade II, n = 5; grade III, n = 3). An untargeted metabolomic approach was used to analyze plasma metabolites. Statistical analyses were performed to select differential biomarkers among HG and LG groups. Metabolites were identified using tandem mass spectrometry along with database verification. Five and four differential biomarkers were identified for HG and LG meningiomas, respectively. To evaluate the potential of HG MGM metabolites to differentiate between HG and LG tumors, a receiving operating characteristic curve was constructed, which revealed an area under the curve of 95.7%. This indicates that the five HG MGM metabolites represent metabolic alterations that can differentiate between LG and HG meningiomas. These metabolites may indicate tumor grade even before the appearance of histological features.Laboratory of Molecular Analysis and Neuro-oncology Department of Internal Medicine Botucatu Medical School São Paulo State UniversityDepartment of Neurology Psychology and Psychiatry Botucatu Medical School São Paulo State UniversityInnovare Biomarkers Laboratory School of Pharmaceutical Sciences University of CampinasLaboratory of Molecular Analysis and Neuro-oncology Department of Internal Medicine Botucatu Medical School São Paulo State UniversityDepartment of Neurology Psychology and Psychiatry Botucatu Medical School São Paulo State UniversityUniversidade Estadual Paulista (UNESP)Universidade Estadual de Campinas (UNICAMP)Kurokawa, Gabriel A. [UNESP]Hamamoto Filho, Pedro T. [UNESP]Delafiori, JeanyGalvani, Aline F. [UNESP]de Oliveira, Arthur N.Dias-Audibert, Flávia L.Catharino, Rodrigo R.Pardini, Maria Inês M. C. [UNESP]Zanini, Marco A. [UNESP]Lima, Estela de O. [UNESP]Ferrasi, Adriana C. [UNESP]2023-07-29T13:36:19Z2023-07-29T13:36:19Z2023-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.3390/ijms24010394International Journal of Molecular Sciences, v. 24, n. 1, 2023.1422-00671661-6596http://hdl.handle.net/11449/24816710.3390/ijms240103942-s2.0-85146027435Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Journal of Molecular Sciencesinfo:eu-repo/semantics/openAccess2024-08-16T15:45:15Zoai:repositorio.unesp.br:11449/248167Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-16T15:45:15Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Differential Plasma Metabolites between High- and Low-Grade Meningioma Cases
title Differential Plasma Metabolites between High- and Low-Grade Meningioma Cases
spellingShingle Differential Plasma Metabolites between High- and Low-Grade Meningioma Cases
Kurokawa, Gabriel A. [UNESP]
biomarkers
grading
meningioma
metabolomics
plasma samples
screening
title_short Differential Plasma Metabolites between High- and Low-Grade Meningioma Cases
title_full Differential Plasma Metabolites between High- and Low-Grade Meningioma Cases
title_fullStr Differential Plasma Metabolites between High- and Low-Grade Meningioma Cases
title_full_unstemmed Differential Plasma Metabolites between High- and Low-Grade Meningioma Cases
title_sort Differential Plasma Metabolites between High- and Low-Grade Meningioma Cases
author Kurokawa, Gabriel A. [UNESP]
author_facet Kurokawa, Gabriel A. [UNESP]
Hamamoto Filho, Pedro T. [UNESP]
Delafiori, Jeany
Galvani, Aline F. [UNESP]
de Oliveira, Arthur N.
Dias-Audibert, Flávia L.
Catharino, Rodrigo R.
Pardini, Maria Inês M. C. [UNESP]
Zanini, Marco A. [UNESP]
Lima, Estela de O. [UNESP]
Ferrasi, Adriana C. [UNESP]
author_role author
author2 Hamamoto Filho, Pedro T. [UNESP]
Delafiori, Jeany
Galvani, Aline F. [UNESP]
de Oliveira, Arthur N.
Dias-Audibert, Flávia L.
Catharino, Rodrigo R.
Pardini, Maria Inês M. C. [UNESP]
Zanini, Marco A. [UNESP]
Lima, Estela de O. [UNESP]
Ferrasi, Adriana C. [UNESP]
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Universidade Estadual de Campinas (UNICAMP)
dc.contributor.author.fl_str_mv Kurokawa, Gabriel A. [UNESP]
Hamamoto Filho, Pedro T. [UNESP]
Delafiori, Jeany
Galvani, Aline F. [UNESP]
de Oliveira, Arthur N.
Dias-Audibert, Flávia L.
Catharino, Rodrigo R.
Pardini, Maria Inês M. C. [UNESP]
Zanini, Marco A. [UNESP]
Lima, Estela de O. [UNESP]
Ferrasi, Adriana C. [UNESP]
dc.subject.por.fl_str_mv biomarkers
grading
meningioma
metabolomics
plasma samples
screening
topic biomarkers
grading
meningioma
metabolomics
plasma samples
screening
description Meningiomas (MGMs) are currently classified into grades I, II, and III. High-grade tumors are correlated with decreased survival rates and increased recurrence rates. The current grading classification is based on histological criteria and determined only after surgical tumor sampling. This study aimed to identify plasma metabolic alterations in meningiomas of different grades, which would aid surgeons in predefining the ideal surgical strategy. Plasma samples were collected from 51 patients with meningioma and classified into low-grade (LG) (grade I; n = 43), and high-grade (HG) samples (grade II, n = 5; grade III, n = 3). An untargeted metabolomic approach was used to analyze plasma metabolites. Statistical analyses were performed to select differential biomarkers among HG and LG groups. Metabolites were identified using tandem mass spectrometry along with database verification. Five and four differential biomarkers were identified for HG and LG meningiomas, respectively. To evaluate the potential of HG MGM metabolites to differentiate between HG and LG tumors, a receiving operating characteristic curve was constructed, which revealed an area under the curve of 95.7%. This indicates that the five HG MGM metabolites represent metabolic alterations that can differentiate between LG and HG meningiomas. These metabolites may indicate tumor grade even before the appearance of histological features.
publishDate 2023
dc.date.none.fl_str_mv 2023-07-29T13:36:19Z
2023-07-29T13:36:19Z
2023-01-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.3390/ijms24010394
International Journal of Molecular Sciences, v. 24, n. 1, 2023.
1422-0067
1661-6596
http://hdl.handle.net/11449/248167
10.3390/ijms24010394
2-s2.0-85146027435
url http://dx.doi.org/10.3390/ijms24010394
http://hdl.handle.net/11449/248167
identifier_str_mv International Journal of Molecular Sciences, v. 24, n. 1, 2023.
1422-0067
1661-6596
10.3390/ijms24010394
2-s2.0-85146027435
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv International Journal of Molecular Sciences
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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