Bronchoalveolar Lavage Proteomics in Patients with Suspected Lung Cancer
Autor(a) principal: | |
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Data de Publicação: | 2017 |
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/10362/32589 |
Resumo: | All experiments including MS analysis were supported by Fundacao para a Ciencia e Tecnologia project EXPL/DTP-PIC/0616/2013. RM is supported by FCT investigator program 2012 (IF/01002/2012). ASC is supported by grant SFRH/BPD/85569/2012 funded by Fundacao para a Ciencia e Tecnologia. |
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Bronchoalveolar Lavage Proteomics in Patients with Suspected Lung CancerSDG 3 - Good Health and Well-beingAll experiments including MS analysis were supported by Fundacao para a Ciencia e Tecnologia project EXPL/DTP-PIC/0616/2013. RM is supported by FCT investigator program 2012 (IF/01002/2012). ASC is supported by grant SFRH/BPD/85569/2012 funded by Fundacao para a Ciencia e Tecnologia.Lung cancer configures as one of the deadliest types of cancer. The future implementation of early screening methods such as exhaled breath condensate analysis and low dose computed tomography (CT) as an alternative to current chest imaging based screening will lead to an increased burden on bronchoscopy units. New approaches for improvement of diagnosis in bronchoscopy units, regarding patient management, are likely to have clinical impact in the future. Diagnostic approaches to address mortality of lung cancer include improved early detection and stratification of the cancers according to its prognosis and further response to drug treatment. In this study, we performed a detailed mass spectrometry based proteome analysis of acellular bronchoalveolar lavage (BAL) fluid samples on an observational prospective cohort consisting of 90 suspected lung cancer cases which were followed during two years. The thirteen new lung cancer cases diagnosed during the follow up time period clustered, based on liquid chromatography-mass spectrometry (LC-MS) data, with lung cancer cases at the time of BAL collection. Hundred and thirty-tree potential biomarkers were identified showing significantly differential expression when comparing lung cancer versus non-lung cancer. The regulated biomarkers showed a large overlap with biomarkers detected in tissue samples.NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)Centro de Estudos de Doenças Crónicas (CEDOC)RUNCarvalho, Ana SofiaCuco, Célia MarinaLavareda, CarlaMiguel, FranciscoVentura, MafaldaAlmeida, SóniaPinto, Paulade Abreu, Tiago TavaresRodrigues, Luís VazSeixas, SusanaBárbara, CristinaAzkargorta, MikelElortza, FelixSemedo, JúlioField, John KMota, LeonorMatthiesen, Rune2018-03-15T23:09:20Z2017-02-072017-02-07T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/32589eng2045-2322PURE: 2259543https://doi.org/10.1038/srep42190info: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:RCAAP2024-03-11T04:18:08Zoai:run.unl.pt:10362/32589Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:29:54.447528Repositório 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 |
Bronchoalveolar Lavage Proteomics in Patients with Suspected Lung Cancer |
title |
Bronchoalveolar Lavage Proteomics in Patients with Suspected Lung Cancer |
spellingShingle |
Bronchoalveolar Lavage Proteomics in Patients with Suspected Lung Cancer Carvalho, Ana Sofia SDG 3 - Good Health and Well-being |
title_short |
Bronchoalveolar Lavage Proteomics in Patients with Suspected Lung Cancer |
title_full |
Bronchoalveolar Lavage Proteomics in Patients with Suspected Lung Cancer |
title_fullStr |
Bronchoalveolar Lavage Proteomics in Patients with Suspected Lung Cancer |
title_full_unstemmed |
Bronchoalveolar Lavage Proteomics in Patients with Suspected Lung Cancer |
title_sort |
Bronchoalveolar Lavage Proteomics in Patients with Suspected Lung Cancer |
author |
Carvalho, Ana Sofia |
author_facet |
Carvalho, Ana Sofia Cuco, Célia Marina Lavareda, Carla Miguel, Francisco Ventura, Mafalda Almeida, Sónia Pinto, Paula de Abreu, Tiago Tavares Rodrigues, Luís Vaz Seixas, Susana Bárbara, Cristina Azkargorta, Mikel Elortza, Felix Semedo, Júlio Field, John K Mota, Leonor Matthiesen, Rune |
author_role |
author |
author2 |
Cuco, Célia Marina Lavareda, Carla Miguel, Francisco Ventura, Mafalda Almeida, Sónia Pinto, Paula de Abreu, Tiago Tavares Rodrigues, Luís Vaz Seixas, Susana Bárbara, Cristina Azkargorta, Mikel Elortza, Felix Semedo, Júlio Field, John K Mota, Leonor Matthiesen, Rune |
author2_role |
author author author author author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM) Centro de Estudos de Doenças Crónicas (CEDOC) RUN |
dc.contributor.author.fl_str_mv |
Carvalho, Ana Sofia Cuco, Célia Marina Lavareda, Carla Miguel, Francisco Ventura, Mafalda Almeida, Sónia Pinto, Paula de Abreu, Tiago Tavares Rodrigues, Luís Vaz Seixas, Susana Bárbara, Cristina Azkargorta, Mikel Elortza, Felix Semedo, Júlio Field, John K Mota, Leonor Matthiesen, Rune |
dc.subject.por.fl_str_mv |
SDG 3 - Good Health and Well-being |
topic |
SDG 3 - Good Health and Well-being |
description |
All experiments including MS analysis were supported by Fundacao para a Ciencia e Tecnologia project EXPL/DTP-PIC/0616/2013. RM is supported by FCT investigator program 2012 (IF/01002/2012). ASC is supported by grant SFRH/BPD/85569/2012 funded by Fundacao para a Ciencia e Tecnologia. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-02-07 2017-02-07T00:00:00Z 2018-03-15T23:09:20Z |
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/10362/32589 |
url |
http://hdl.handle.net/10362/32589 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2045-2322 PURE: 2259543 https://doi.org/10.1038/srep42190 |
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 |
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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 |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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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 |
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1799137923924230144 |