Breast cancer metabolomics: from analytical platforms to multivariate data analysis. A review
Autor(a) principal: | |
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Data de Publicação: | 2019 |
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/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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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 |
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/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 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
MDPI |
publisher.none.fl_str_mv |
MDPI |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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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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