Breast cancer metabolomics: from analytical platforms to multivariate data analysis. A review

Detalhes bibliográficos
Autor(a) principal: Silva, Catarina
Data de Publicação: 2019
Outros Autores: Perestrelo, Rosa, Silva, Pedro, Tomás, Helena, Câmara, José S.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.13/2843
Resumo: Cancer is a major health issue worldwide for many years and has been increasing significantly. Among the different types of cancer, breast cancer (BC) remains the leading cause of cancer-related deaths in women being a disease caused by a combination of genetic and environmental factors. Nowadays, the available diagnostic tools have aided in the early detection of BC leading to the improvement of survival rates. However, better detection tools for diagnosis and disease monitoring are still required. In this sense, metabolomic NMR, LC-MS and GC-MS-based approaches have gained attention in this field constituting powerful tools for the identification of potential biomarkers in a variety of clinical fields. In this review we will present the current analytical platforms and their applications to identify metabolites with potential for BC biomarkers based on the main advantages and advances in metabolomics research. Additionally, chemometric methods used in metabolomics will be highlighted.
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spelling Breast cancer metabolomics: from analytical platforms to multivariate data analysis. A reviewBreast cancerOmicsAnalytical platformsChemometric methods.Faculdade de Ciências Exatas e da EngenhariaCentro de Química da MadeiraCancer is a major health issue worldwide for many years and has been increasing significantly. Among the different types of cancer, breast cancer (BC) remains the leading cause of cancer-related deaths in women being a disease caused by a combination of genetic and environmental factors. Nowadays, the available diagnostic tools have aided in the early detection of BC leading to the improvement of survival rates. However, better detection tools for diagnosis and disease monitoring are still required. In this sense, metabolomic NMR, LC-MS and GC-MS-based approaches have gained attention in this field constituting powerful tools for the identification of potential biomarkers in a variety of clinical fields. In this review we will present the current analytical platforms and their applications to identify metabolites with potential for BC biomarkers based on the main advantages and advances in metabolomics research. Additionally, chemometric methods used in metabolomics will be highlighted.MDPIDigitUMaSilva, CatarinaPerestrelo, RosaSilva, PedroTomás, HelenaCâmara, José S.2020-07-09T10:43:27Z20192019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.13/2843engSilva, C.; Perestrelo, R.; Silva, P.; Tomás, H.; Câmara, J.S. Breast cancer metabolomics: from analytical platforms to multivariate data analysis. A Review. Metabolites 2019, 9, 102.10.3390/metabo9050102info: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:RCAAP2024-03-17T05:57:38Zoai:digituma.uma.pt:10400.13/2843Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T15:05:40.175560Repositório 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 Breast cancer metabolomics: from analytical platforms to multivariate data analysis. A review
title Breast cancer metabolomics: from analytical platforms to multivariate data analysis. A review
spellingShingle Breast cancer metabolomics: from analytical platforms to multivariate data analysis. A review
Silva, Catarina
Breast cancer
Omics
Analytical platforms
Chemometric methods
.
Faculdade de Ciências Exatas e da Engenharia
Centro de Química da Madeira
title_short Breast cancer metabolomics: from analytical platforms to multivariate data analysis. A review
title_full Breast cancer metabolomics: from analytical platforms to multivariate data analysis. A review
title_fullStr Breast cancer metabolomics: from analytical platforms to multivariate data analysis. A review
title_full_unstemmed Breast cancer metabolomics: from analytical platforms to multivariate data analysis. A review
title_sort Breast cancer metabolomics: from analytical platforms to multivariate data analysis. A review
author Silva, Catarina
author_facet Silva, Catarina
Perestrelo, Rosa
Silva, Pedro
Tomás, Helena
Câmara, José S.
author_role author
author2 Perestrelo, Rosa
Silva, Pedro
Tomás, Helena
Câmara, José S.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv DigitUMa
dc.contributor.author.fl_str_mv Silva, Catarina
Perestrelo, Rosa
Silva, Pedro
Tomás, Helena
Câmara, José S.
dc.subject.por.fl_str_mv Breast cancer
Omics
Analytical platforms
Chemometric methods
.
Faculdade de Ciências Exatas e da Engenharia
Centro de Química da Madeira
topic Breast cancer
Omics
Analytical platforms
Chemometric methods
.
Faculdade de Ciências Exatas e da Engenharia
Centro de Química da Madeira
description Cancer is a major health issue worldwide for many years and has been increasing significantly. Among the different types of cancer, breast cancer (BC) remains the leading cause of cancer-related deaths in women being a disease caused by a combination of genetic and environmental factors. Nowadays, the available diagnostic tools have aided in the early detection of BC leading to the improvement of survival rates. However, better detection tools for diagnosis and disease monitoring are still required. In this sense, metabolomic NMR, LC-MS and GC-MS-based approaches have gained attention in this field constituting powerful tools for the identification of potential biomarkers in a variety of clinical fields. In this review we will present the current analytical platforms and their applications to identify metabolites with potential for BC biomarkers based on the main advantages and advances in metabolomics research. Additionally, chemometric methods used in metabolomics will be highlighted.
publishDate 2019
dc.date.none.fl_str_mv 2019
2019-01-01T00:00:00Z
2020-07-09T10:43:27Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.13/2843
url http://hdl.handle.net/10400.13/2843
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Silva, C.; Perestrelo, R.; Silva, P.; Tomás, H.; Câmara, J.S. Breast cancer metabolomics: from analytical platforms to multivariate data analysis. A Review. Metabolites 2019, 9, 102.
10.3390/metabo9050102
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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