Metabolomics Approach Reveals Important Glioblastoma Plasma Biomarkers for Tumor Biology

dc.contributor.authorFerrasi, Adriana C. [UNESP]
dc.contributor.authorPuttini, Ricardo [UNESP]
dc.contributor.authorGalvani, Aline F. [UNESP]
dc.contributor.authorHamamoto Filho, Pedro T. [UNESP]
dc.contributor.authorDelafiori, Jeany
dc.contributor.authorArgente, Victoria D. [UNESP]
dc.contributor.authorde Oliveira, Arthur N.
dc.contributor.authorDias-Audibert, Flávia L.
dc.contributor.authorCatharino, Rodrigo R.
dc.contributor.authorSilva, Octavio C. [UNESP]
dc.contributor.authorZanini, Marco A. [UNESP]
dc.contributor.authorKurokawa, Gabriel A. [UNESP]
dc.contributor.authorLima, Estela O. [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)
dc.date.accessioned2023-07-29T13:56:42Z
dc.date.available2023-07-29T13:56:42Z
dc.date.issued2023-05-01
dc.description.abstractGlioblastoma (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.en
dc.description.affiliationLaboratory of Molecular Analysis and Neuro-Oncology Department of Internal Medicine Botucatu Medical School São Paulo State University
dc.description.affiliationDepartment of Neurology Psychology and Psychiatry Botucatu Medical School São Paulo State University
dc.description.affiliationInnovare Biomarkers Laboratory School of Pharmaceutical Sciences University of Campinas
dc.description.affiliationUnespLaboratory of Molecular Analysis and Neuro-Oncology Department of Internal Medicine Botucatu Medical School São Paulo State University
dc.description.affiliationUnespDepartment of Neurology Psychology and Psychiatry Botucatu Medical School São Paulo State University
dc.identifierhttp://dx.doi.org/10.3390/ijms24108813
dc.identifier.citationInternational Journal of Molecular Sciences, v. 24, n. 10, 2023.
dc.identifier.doi10.3390/ijms24108813
dc.identifier.issn1422-0067
dc.identifier.issn1661-6596
dc.identifier.scopus2-s2.0-85160403484
dc.identifier.urihttp://hdl.handle.net/11449/248896
dc.language.isoeng
dc.relation.ispartofInternational Journal of Molecular Sciences
dc.sourceScopus
dc.subject5-hydroxymethyluracil
dc.subjectbiomarkers
dc.subjectglioblastoma
dc.subjectmetabolomics
dc.subjectNAPE
dc.subjectplasma samples
dc.titleMetabolomics Approach Reveals Important Glioblastoma Plasma Biomarkers for Tumor Biologyen
dc.typeArtigo
unesp.author.orcid0000-0001-9200-5391[1]
unesp.author.orcid0000-0001-6436-9307[4]
unesp.author.orcid0000-0002-3612-4086[10]
unesp.author.orcid0000-0002-5712-9783[11]
unesp.author.orcid0000-0002-5274-4867[12]
unesp.author.orcid0000-0003-0479-0364[13]

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