Differential Plasma Metabolites between High- and Low-Grade Meningioma Cases
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , , , , , , |
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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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 |
|
_version_ |
1808128115436683264 |