Peripheral Blood Serum NMR Metabolomics Is a Powerful Tool to Discriminate Benign and Malignant Ovarian Tumors
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/159814 |
Resumo: | Funding Information: The institutions are funded by Fundação para a Ciência e a Tecnologia/Ministério da Ciência, Tecnologia e Ensino Superior (FCT/MCTES, Portugal) through national funds to iNOVA4Health (UIDB/04462/2020 and UIDP/04462/2020), to MOSTMICRO-ITQB (UIDB/04612/2020 and UIDP/04612/2020) and the Associated Laboratory LS4FUTURE (LA/P/0087/2020). The NMR data was acquired at CERMAX, ITQB-NOVA, Oeiras, Portugal with equipment funded by FCT, project AAC 01/SAICT/2016 and at CICS-UBI (Health Sciences Research Centre—University of Beira Interior) with equipment acquired in the scope of the project POVT-0439-FEDER-00001. Luis G. Gonçalves was financed by a FCT contract according to DL57/2016, [SFRH/BPD/111100/2015]. Publisher Copyright: © 2023 by the authors. |
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Peripheral Blood Serum NMR Metabolomics Is a Powerful Tool to Discriminate Benign and Malignant Ovarian Tumorsbenign ovarian tumorsbiomarkersborderline ovarian tumorscancer progressionmalignant ovarian tumorsNMR metabolomicsovarian cancerserumEndocrinology, Diabetes and MetabolismBiochemistryMolecular BiologySDG 3 - Good Health and Well-beingFunding Information: The institutions are funded by Fundação para a Ciência e a Tecnologia/Ministério da Ciência, Tecnologia e Ensino Superior (FCT/MCTES, Portugal) through national funds to iNOVA4Health (UIDB/04462/2020 and UIDP/04462/2020), to MOSTMICRO-ITQB (UIDB/04612/2020 and UIDP/04612/2020) and the Associated Laboratory LS4FUTURE (LA/P/0087/2020). The NMR data was acquired at CERMAX, ITQB-NOVA, Oeiras, Portugal with equipment funded by FCT, project AAC 01/SAICT/2016 and at CICS-UBI (Health Sciences Research Centre—University of Beira Interior) with equipment acquired in the scope of the project POVT-0439-FEDER-00001. Luis G. Gonçalves was financed by a FCT contract according to DL57/2016, [SFRH/BPD/111100/2015]. Publisher Copyright: © 2023 by the authors.Ovarian cancer is the major cause of death from gynecological cancer and the third most common gynecological malignancy worldwide. Despite a slight improvement in the overall survival of ovarian carcinoma patients in recent decades, the cure rate has not improved. This is mainly due to late diagnosis and resistance to therapy. It is therefore urgent to develop effective methods for early detection and prognosis. We hypothesized that, besides being able to distinguish serum samples of patients with ovarian cancer from those of patients with benign ovarian tumors, 1H-NMR metabolomics analysis might be able to predict the malignant potential of tumors. For this, serum 1H-NMR metabolomics analyses were performed, including patients with malignant, benign and borderline ovarian tumors. The serum metabolic profiles were analyzed by multivariate statistical analysis, including principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) methods. A metabolic profile associated with ovarian malignant tumors was defined, in which lactate, 3-hydroxybutyrate and acetone were increased and acetate, histidine, valine and methanol were decreased. Our data support the use of 1H-NMR metabolomics analysis as a screening method for ovarian cancer detection and might be useful for predicting the malignant potential of borderline tumors.NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)iNOVA4Health - pólo NMSInstituto de Tecnologia Química e Biológica António Xavier (ITQB)RUNNunes, Sofia C.Sousa, JoanaSilva, FernandaSilveira, MargaridaGuimarães, AntónioSerpa, JacintaFélix, AnaGonçalves, Luís G.2023-11-10T22:08:55Z2023-092023-09-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/159814eng2218-1989PURE: 73149524https://doi.org/10.3390/metabo13090989info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:42:18Zoai:run.unl.pt:10362/159814Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:57:43.537211Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Peripheral Blood Serum NMR Metabolomics Is a Powerful Tool to Discriminate Benign and Malignant Ovarian Tumors |
title |
Peripheral Blood Serum NMR Metabolomics Is a Powerful Tool to Discriminate Benign and Malignant Ovarian Tumors |
spellingShingle |
Peripheral Blood Serum NMR Metabolomics Is a Powerful Tool to Discriminate Benign and Malignant Ovarian Tumors Nunes, Sofia C. benign ovarian tumors biomarkers borderline ovarian tumors cancer progression malignant ovarian tumors NMR metabolomics ovarian cancer serum Endocrinology, Diabetes and Metabolism Biochemistry Molecular Biology SDG 3 - Good Health and Well-being |
title_short |
Peripheral Blood Serum NMR Metabolomics Is a Powerful Tool to Discriminate Benign and Malignant Ovarian Tumors |
title_full |
Peripheral Blood Serum NMR Metabolomics Is a Powerful Tool to Discriminate Benign and Malignant Ovarian Tumors |
title_fullStr |
Peripheral Blood Serum NMR Metabolomics Is a Powerful Tool to Discriminate Benign and Malignant Ovarian Tumors |
title_full_unstemmed |
Peripheral Blood Serum NMR Metabolomics Is a Powerful Tool to Discriminate Benign and Malignant Ovarian Tumors |
title_sort |
Peripheral Blood Serum NMR Metabolomics Is a Powerful Tool to Discriminate Benign and Malignant Ovarian Tumors |
author |
Nunes, Sofia C. |
author_facet |
Nunes, Sofia C. Sousa, Joana Silva, Fernanda Silveira, Margarida Guimarães, António Serpa, Jacinta Félix, Ana Gonçalves, Luís G. |
author_role |
author |
author2 |
Sousa, Joana Silva, Fernanda Silveira, Margarida Guimarães, António Serpa, Jacinta Félix, Ana Gonçalves, Luís G. |
author2_role |
author author author author author author author |
dc.contributor.none.fl_str_mv |
NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM) iNOVA4Health - pólo NMS Instituto de Tecnologia Química e Biológica António Xavier (ITQB) RUN |
dc.contributor.author.fl_str_mv |
Nunes, Sofia C. Sousa, Joana Silva, Fernanda Silveira, Margarida Guimarães, António Serpa, Jacinta Félix, Ana Gonçalves, Luís G. |
dc.subject.por.fl_str_mv |
benign ovarian tumors biomarkers borderline ovarian tumors cancer progression malignant ovarian tumors NMR metabolomics ovarian cancer serum Endocrinology, Diabetes and Metabolism Biochemistry Molecular Biology SDG 3 - Good Health and Well-being |
topic |
benign ovarian tumors biomarkers borderline ovarian tumors cancer progression malignant ovarian tumors NMR metabolomics ovarian cancer serum Endocrinology, Diabetes and Metabolism Biochemistry Molecular Biology SDG 3 - Good Health and Well-being |
description |
Funding Information: The institutions are funded by Fundação para a Ciência e a Tecnologia/Ministério da Ciência, Tecnologia e Ensino Superior (FCT/MCTES, Portugal) through national funds to iNOVA4Health (UIDB/04462/2020 and UIDP/04462/2020), to MOSTMICRO-ITQB (UIDB/04612/2020 and UIDP/04612/2020) and the Associated Laboratory LS4FUTURE (LA/P/0087/2020). The NMR data was acquired at CERMAX, ITQB-NOVA, Oeiras, Portugal with equipment funded by FCT, project AAC 01/SAICT/2016 and at CICS-UBI (Health Sciences Research Centre—University of Beira Interior) with equipment acquired in the scope of the project POVT-0439-FEDER-00001. Luis G. Gonçalves was financed by a FCT contract according to DL57/2016, [SFRH/BPD/111100/2015]. Publisher Copyright: © 2023 by the authors. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-11-10T22:08:55Z 2023-09 2023-09-01T00:00:00Z |
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://hdl.handle.net/10362/159814 |
url |
http://hdl.handle.net/10362/159814 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2218-1989 PURE: 73149524 https://doi.org/10.3390/metabo13090989 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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