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Metabolomics Approach Reveals Important Glioblastoma Plasma Biomarkers for Tumor Biology
Glioblastoma (GB) is the most aggressive and frequent primary malignant tumor of the central nervous system and is associated with poor overall survival even after treatment. To better understand tumor biochemical alterations and broaden the potential targets of GB, this study aimed to evaluate diff...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10218163/ https://www.ncbi.nlm.nih.gov/pubmed/37240159 http://dx.doi.org/10.3390/ijms24108813 |
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author | Ferrasi, Adriana C. Puttini, Ricardo Galvani, Aline F. Hamamoto Filho, Pedro T. Delafiori, Jeany Argente, Victoria D. de Oliveira, Arthur N. Dias-Audibert, Flávia L. Catharino, Rodrigo R. Silva, Octavio C. Zanini, Marco A. Kurokawa, Gabriel A. Lima, Estela O. |
author_facet | Ferrasi, Adriana C. Puttini, Ricardo Galvani, Aline F. Hamamoto Filho, Pedro T. Delafiori, Jeany Argente, Victoria D. de Oliveira, Arthur N. Dias-Audibert, Flávia L. Catharino, Rodrigo R. Silva, Octavio C. Zanini, Marco A. Kurokawa, Gabriel A. Lima, Estela O. |
author_sort | Ferrasi, Adriana C. |
collection | PubMed |
description | Glioblastoma (GB) is the most aggressive and frequent primary malignant tumor of the central nervous system and is associated with poor overall survival even after treatment. To better understand tumor biochemical alterations and broaden the potential targets of GB, this study aimed to evaluate differential plasma biomarkers between GB patients and healthy individuals using metabolomics analysis. Plasma samples from both groups were analyzed via untargeted metabolomics using direct injection with an electrospray ionization source and an LTQ mass spectrometer. GB biomarkers were selected via Partial Least Squares Discriminant and Fold-Change analyses and were identified using tandem mass spectrometry with in silico fragmentation, consultation of metabolomics databases, and a literature search. Seven GB biomarkers were identified, some of which were unprecedented biomarkers for GB, including arginylproline (m/z 294), 5-hydroxymethyluracil (m/z 143), and N-acylphosphatidylethanolamine (m/z 982). Notably, four other metabolites were identified. The roles of all seven metabolites in epigenetic modulation, energy metabolism, protein catabolism or folding processes, and signaling pathways that activate cell proliferation and invasion were elucidated. Overall, the findings of this study highlight new molecular targets to guide future investigations on GB. These molecular targets can also be further evaluated to derive their potential as biomedical analytical tools for peripheral blood samples. |
format | Online Article Text |
id | pubmed-10218163 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-102181632023-05-27 Metabolomics Approach Reveals Important Glioblastoma Plasma Biomarkers for Tumor Biology Ferrasi, Adriana C. Puttini, Ricardo Galvani, Aline F. Hamamoto Filho, Pedro T. Delafiori, Jeany Argente, Victoria D. de Oliveira, Arthur N. Dias-Audibert, Flávia L. Catharino, Rodrigo R. Silva, Octavio C. Zanini, Marco A. Kurokawa, Gabriel A. Lima, Estela O. Int J Mol Sci Article Glioblastoma (GB) is the most aggressive and frequent primary malignant tumor of the central nervous system and is associated with poor overall survival even after treatment. To better understand tumor biochemical alterations and broaden the potential targets of GB, this study aimed to evaluate differential plasma biomarkers between GB patients and healthy individuals using metabolomics analysis. Plasma samples from both groups were analyzed via untargeted metabolomics using direct injection with an electrospray ionization source and an LTQ mass spectrometer. GB biomarkers were selected via Partial Least Squares Discriminant and Fold-Change analyses and were identified using tandem mass spectrometry with in silico fragmentation, consultation of metabolomics databases, and a literature search. Seven GB biomarkers were identified, some of which were unprecedented biomarkers for GB, including arginylproline (m/z 294), 5-hydroxymethyluracil (m/z 143), and N-acylphosphatidylethanolamine (m/z 982). Notably, four other metabolites were identified. The roles of all seven metabolites in epigenetic modulation, energy metabolism, protein catabolism or folding processes, and signaling pathways that activate cell proliferation and invasion were elucidated. Overall, the findings of this study highlight new molecular targets to guide future investigations on GB. These molecular targets can also be further evaluated to derive their potential as biomedical analytical tools for peripheral blood samples. MDPI 2023-05-16 /pmc/articles/PMC10218163/ /pubmed/37240159 http://dx.doi.org/10.3390/ijms24108813 Text en © 2023 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 Ferrasi, Adriana C. Puttini, Ricardo Galvani, Aline F. Hamamoto Filho, Pedro T. Delafiori, Jeany Argente, Victoria D. de Oliveira, Arthur N. Dias-Audibert, Flávia L. Catharino, Rodrigo R. Silva, Octavio C. Zanini, Marco A. Kurokawa, Gabriel A. Lima, Estela O. Metabolomics Approach Reveals Important Glioblastoma Plasma Biomarkers for Tumor Biology |
title | Metabolomics Approach Reveals Important Glioblastoma Plasma Biomarkers for Tumor Biology |
title_full | Metabolomics Approach Reveals Important Glioblastoma Plasma Biomarkers for Tumor Biology |
title_fullStr | Metabolomics Approach Reveals Important Glioblastoma Plasma Biomarkers for Tumor Biology |
title_full_unstemmed | Metabolomics Approach Reveals Important Glioblastoma Plasma Biomarkers for Tumor Biology |
title_short | Metabolomics Approach Reveals Important Glioblastoma Plasma Biomarkers for Tumor Biology |
title_sort | metabolomics approach reveals important glioblastoma plasma biomarkers for tumor biology |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10218163/ https://www.ncbi.nlm.nih.gov/pubmed/37240159 http://dx.doi.org/10.3390/ijms24108813 |
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