Volatomic pattern of breast cancer and cancer-free tissues as a powerful strategy to identify potential biomarkers
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/10400.26/30036 |
Resumo: | Breast cancer (BC) is ranked as the fifth amongst all cancers remaining at the top of women’s cancers worldwide followed by colorectal, lung, cervix, and stomach cancers according to the GLOBOCAN series of the International Agency for Research on cancer (IARC), contributing to more than 11.6% of all cancers.1 Although BC is a multifactorial disease, with highly variable clinical behavior and response to therapy, it can be curable in early stages. Furthermore, there is still the need for the development of new methodologies to aid or monitor the disease together with the current diagnostic tools, namely mammography, ultrasound or tumor markers. Moreover, before BC treatment, a complex and time-consuming analysis is required that uses many different assays, such as the determination of histological type and grading and the evaluation of estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor 2 (HER-2), among others.2 The main handicap of most of these screening/diagnostic methods is their low sensitivity and specificity and the invasive procedure required to obtain the samples.3 Taking into account these aspects, research is being directed towards the use of new tools that can support the clinicians in BC treatment and follow-up.4 In this sense, in recent years, metabolomic studies have emerged as a powerful tool to investigate the changes and/or metabolic responses of living systems to stimuli or genetic modifications.5 The metabolome profile represents the unbiased quantitative and qualitative analyses of the complete set of metabolites present in cells, body fluids and/or tissues.6 To date, beyond the most used biological specimens (e.g. urine, saliva, blood), BC tissues have been used in metabolomics with the aim of discriminating cancer from normal tissues suggesting that metabolomic profiles differ within molecular subtypes of BC.7,8 The metabolome |
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Volatomic pattern of breast cancer and cancer-free tissues as a powerful strategy to identify potential biomarkersbreast cancercolorectal cancerlung cancercervix cancervolatile organic metaboliteGLOBOCANMadeira IslandBreast cancer (BC) is ranked as the fifth amongst all cancers remaining at the top of women’s cancers worldwide followed by colorectal, lung, cervix, and stomach cancers according to the GLOBOCAN series of the International Agency for Research on cancer (IARC), contributing to more than 11.6% of all cancers.1 Although BC is a multifactorial disease, with highly variable clinical behavior and response to therapy, it can be curable in early stages. Furthermore, there is still the need for the development of new methodologies to aid or monitor the disease together with the current diagnostic tools, namely mammography, ultrasound or tumor markers. Moreover, before BC treatment, a complex and time-consuming analysis is required that uses many different assays, such as the determination of histological type and grading and the evaluation of estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor 2 (HER-2), among others.2 The main handicap of most of these screening/diagnostic methods is their low sensitivity and specificity and the invasive procedure required to obtain the samples.3 Taking into account these aspects, research is being directed towards the use of new tools that can support the clinicians in BC treatment and follow-up.4 In this sense, in recent years, metabolomic studies have emerged as a powerful tool to investigate the changes and/or metabolic responses of living systems to stimuli or genetic modifications.5 The metabolome profile represents the unbiased quantitative and qualitative analyses of the complete set of metabolites present in cells, body fluids and/or tissues.6 To date, beyond the most used biological specimens (e.g. urine, saliva, blood), BC tissues have been used in metabolomics with the aim of discriminating cancer from normal tissues suggesting that metabolomic profiles differ within molecular subtypes of BC.7,8 The metabolomeRepositório ComumSilva, CatarinaPerestrelo, RosaSilva, PedroCapelinha, FilipaTomás, HelenaCâmara, José S.2019-10-29T15:46:08Z20192019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.26/30036engAnalyst, 2019, 144, 41530003-265410.1039/C9AN00263Dinfo: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:RCAAP2023-11-10T02:16:29Zoai:comum.rcaap.pt:10400.26/30036Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:34:24.211829Repositório 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 |
Volatomic pattern of breast cancer and cancer-free tissues as a powerful strategy to identify potential biomarkers |
title |
Volatomic pattern of breast cancer and cancer-free tissues as a powerful strategy to identify potential biomarkers |
spellingShingle |
Volatomic pattern of breast cancer and cancer-free tissues as a powerful strategy to identify potential biomarkers Silva, Catarina breast cancer colorectal cancer lung cancer cervix cancer volatile organic metabolite GLOBOCAN Madeira Island |
title_short |
Volatomic pattern of breast cancer and cancer-free tissues as a powerful strategy to identify potential biomarkers |
title_full |
Volatomic pattern of breast cancer and cancer-free tissues as a powerful strategy to identify potential biomarkers |
title_fullStr |
Volatomic pattern of breast cancer and cancer-free tissues as a powerful strategy to identify potential biomarkers |
title_full_unstemmed |
Volatomic pattern of breast cancer and cancer-free tissues as a powerful strategy to identify potential biomarkers |
title_sort |
Volatomic pattern of breast cancer and cancer-free tissues as a powerful strategy to identify potential biomarkers |
author |
Silva, Catarina |
author_facet |
Silva, Catarina Perestrelo, Rosa Silva, Pedro Capelinha, Filipa Tomás, Helena Câmara, José S. |
author_role |
author |
author2 |
Perestrelo, Rosa Silva, Pedro Capelinha, Filipa Tomás, Helena Câmara, José S. |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Repositório Comum |
dc.contributor.author.fl_str_mv |
Silva, Catarina Perestrelo, Rosa Silva, Pedro Capelinha, Filipa Tomás, Helena Câmara, José S. |
dc.subject.por.fl_str_mv |
breast cancer colorectal cancer lung cancer cervix cancer volatile organic metabolite GLOBOCAN Madeira Island |
topic |
breast cancer colorectal cancer lung cancer cervix cancer volatile organic metabolite GLOBOCAN Madeira Island |
description |
Breast cancer (BC) is ranked as the fifth amongst all cancers remaining at the top of women’s cancers worldwide followed by colorectal, lung, cervix, and stomach cancers according to the GLOBOCAN series of the International Agency for Research on cancer (IARC), contributing to more than 11.6% of all cancers.1 Although BC is a multifactorial disease, with highly variable clinical behavior and response to therapy, it can be curable in early stages. Furthermore, there is still the need for the development of new methodologies to aid or monitor the disease together with the current diagnostic tools, namely mammography, ultrasound or tumor markers. Moreover, before BC treatment, a complex and time-consuming analysis is required that uses many different assays, such as the determination of histological type and grading and the evaluation of estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor 2 (HER-2), among others.2 The main handicap of most of these screening/diagnostic methods is their low sensitivity and specificity and the invasive procedure required to obtain the samples.3 Taking into account these aspects, research is being directed towards the use of new tools that can support the clinicians in BC treatment and follow-up.4 In this sense, in recent years, metabolomic studies have emerged as a powerful tool to investigate the changes and/or metabolic responses of living systems to stimuli or genetic modifications.5 The metabolome profile represents the unbiased quantitative and qualitative analyses of the complete set of metabolites present in cells, body fluids and/or tissues.6 To date, beyond the most used biological specimens (e.g. urine, saliva, blood), BC tissues have been used in metabolomics with the aim of discriminating cancer from normal tissues suggesting that metabolomic profiles differ within molecular subtypes of BC.7,8 The metabolome |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-10-29T15:46:08Z 2019 2019-01-01T00:00:00Z |
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/10400.26/30036 |
url |
http://hdl.handle.net/10400.26/30036 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Analyst, 2019, 144, 4153 0003-2654 10.1039/C9AN00263D |
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.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 |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799134906431832064 |