Metabolomics Approach Reveals Important Glioblastoma Plasma Biomarkers for Tumor Biology
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/ijms24108813 http://hdl.handle.net/11449/248896 |
Resumo: | 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. |
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Metabolomics Approach Reveals Important Glioblastoma Plasma Biomarkers for Tumor Biology5-hydroxymethyluracilbiomarkersglioblastomametabolomicsNAPEplasma samplesGlioblastoma (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.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)Ferrasi, Adriana C. [UNESP]Puttini, Ricardo [UNESP]Galvani, Aline F. [UNESP]Hamamoto Filho, Pedro T. [UNESP]Delafiori, JeanyArgente, Victoria D. [UNESP]de Oliveira, Arthur N.Dias-Audibert, Flávia L.Catharino, Rodrigo R.Silva, Octavio C. [UNESP]Zanini, Marco A. [UNESP]Kurokawa, Gabriel A. [UNESP]Lima, Estela O. [UNESP]2023-07-29T13:56:42Z2023-07-29T13:56:42Z2023-05-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.3390/ijms24108813International Journal of Molecular Sciences, v. 24, n. 10, 2023.1422-00671661-6596http://hdl.handle.net/11449/24889610.3390/ijms241088132-s2.0-85160403484Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Journal of Molecular Sciencesinfo:eu-repo/semantics/openAccess2024-08-16T15:45:52Zoai:repositorio.unesp.br:11449/248896Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-16T15:45:52Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Metabolomics Approach Reveals Important Glioblastoma Plasma Biomarkers for Tumor Biology |
title |
Metabolomics Approach Reveals Important Glioblastoma Plasma Biomarkers for Tumor Biology |
spellingShingle |
Metabolomics Approach Reveals Important Glioblastoma Plasma Biomarkers for Tumor Biology Ferrasi, Adriana C. [UNESP] 5-hydroxymethyluracil biomarkers glioblastoma metabolomics NAPE plasma samples |
title_short |
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_sort |
Metabolomics Approach Reveals Important Glioblastoma Plasma Biomarkers for Tumor Biology |
author |
Ferrasi, Adriana C. [UNESP] |
author_facet |
Ferrasi, Adriana C. [UNESP] Puttini, Ricardo [UNESP] Galvani, Aline F. [UNESP] Hamamoto Filho, Pedro T. [UNESP] Delafiori, Jeany Argente, Victoria D. [UNESP] de Oliveira, Arthur N. Dias-Audibert, Flávia L. Catharino, Rodrigo R. Silva, Octavio C. [UNESP] Zanini, Marco A. [UNESP] Kurokawa, Gabriel A. [UNESP] Lima, Estela O. [UNESP] |
author_role |
author |
author2 |
Puttini, Ricardo [UNESP] Galvani, Aline F. [UNESP] Hamamoto Filho, Pedro T. [UNESP] Delafiori, Jeany Argente, Victoria D. [UNESP] de Oliveira, Arthur N. Dias-Audibert, Flávia L. Catharino, Rodrigo R. Silva, Octavio C. [UNESP] Zanini, Marco A. [UNESP] Kurokawa, Gabriel A. [UNESP] Lima, Estela O. [UNESP] |
author2_role |
author author 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 |
Ferrasi, Adriana C. [UNESP] Puttini, Ricardo [UNESP] Galvani, Aline F. [UNESP] Hamamoto Filho, Pedro T. [UNESP] Delafiori, Jeany Argente, Victoria D. [UNESP] de Oliveira, Arthur N. Dias-Audibert, Flávia L. Catharino, Rodrigo R. Silva, Octavio C. [UNESP] Zanini, Marco A. [UNESP] Kurokawa, Gabriel A. [UNESP] Lima, Estela O. [UNESP] |
dc.subject.por.fl_str_mv |
5-hydroxymethyluracil biomarkers glioblastoma metabolomics NAPE plasma samples |
topic |
5-hydroxymethyluracil biomarkers glioblastoma metabolomics NAPE plasma samples |
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. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-07-29T13:56:42Z 2023-07-29T13:56:42Z 2023-05-01 |
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/ijms24108813 International Journal of Molecular Sciences, v. 24, n. 10, 2023. 1422-0067 1661-6596 http://hdl.handle.net/11449/248896 10.3390/ijms24108813 2-s2.0-85160403484 |
url |
http://dx.doi.org/10.3390/ijms24108813 http://hdl.handle.net/11449/248896 |
identifier_str_mv |
International Journal of Molecular Sciences, v. 24, n. 10, 2023. 1422-0067 1661-6596 10.3390/ijms24108813 2-s2.0-85160403484 |
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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1808128154575831040 |