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Differential Plasma Metabolites between High- and Low-Grade Meningioma Cases
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 ai...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9820229/ https://www.ncbi.nlm.nih.gov/pubmed/36613836 http://dx.doi.org/10.3390/ijms24010394 |
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author | Kurokawa, Gabriel A. Hamamoto Filho, Pedro T. Delafiori, Jeany Galvani, Aline F. de Oliveira, Arthur N. Dias-Audibert, Flávia L. Catharino, Rodrigo R. Pardini, Maria Inês M. C. Zanini, Marco A. Lima, Estela de O. Ferrasi, Adriana C. |
author_facet | Kurokawa, Gabriel A. Hamamoto Filho, Pedro T. Delafiori, Jeany Galvani, Aline F. de Oliveira, Arthur N. Dias-Audibert, Flávia L. Catharino, Rodrigo R. Pardini, Maria Inês M. C. Zanini, Marco A. Lima, Estela de O. Ferrasi, Adriana C. |
author_sort | Kurokawa, Gabriel A. |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-9820229 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98202292023-01-07 Differential Plasma Metabolites between High- and Low-Grade Meningioma Cases Kurokawa, Gabriel A. Hamamoto Filho, Pedro T. Delafiori, Jeany Galvani, Aline F. de Oliveira, Arthur N. Dias-Audibert, Flávia L. Catharino, Rodrigo R. Pardini, Maria Inês M. C. Zanini, Marco A. Lima, Estela de O. Ferrasi, Adriana C. Int J Mol Sci Article 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. MDPI 2022-12-26 /pmc/articles/PMC9820229/ /pubmed/36613836 http://dx.doi.org/10.3390/ijms24010394 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kurokawa, Gabriel A. Hamamoto Filho, Pedro T. Delafiori, Jeany Galvani, Aline F. de Oliveira, Arthur N. Dias-Audibert, Flávia L. Catharino, Rodrigo R. Pardini, Maria Inês M. C. Zanini, Marco A. Lima, Estela de O. Ferrasi, Adriana C. Differential Plasma Metabolites between High- and Low-Grade Meningioma Cases |
title | 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_short | Differential Plasma Metabolites between High- and Low-Grade Meningioma Cases |
title_sort | differential plasma metabolites between high- and low-grade meningioma cases |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9820229/ https://www.ncbi.nlm.nih.gov/pubmed/36613836 http://dx.doi.org/10.3390/ijms24010394 |
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