Detection of glyco-mucin profiles improves specificity of MUC16 and MUC1 biomarkers in ovarian serous tumours
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://doi.org/10.1016/j.molonc.2014.10.005 |
Resumo: | Support by Programa Operacional Ciencia e Inovacao 2010 do Quadro Comunitario de Apoio III and FEDER (PTDC/SAU-ONC/117216/2010). IPATIMUP is an Associate Laboratory of the Portuguese Ministry of Science, Technology and Higher Education and partially supported by FCT. Project NORTE - 07-0124-FEDER-000024 co-financed by Programa Operacional Regional do Norte (ON.2 - O Novo Norte), under Quadro de Referencia Estrategico Nacional (QREN), by Fundo Europeu de Desenvolvimento Regional (FEDER). Lara Marcos-Silva acknowledges also FCT for financial support through a PhD fellowship (SFRH/BD/60536/2009). Support by Kirsten og Freddy Johansen Fonden, A.P. Moller og Hustru Chastine McKinney Mollers Fond til Almene Formaal, The Novo Nordisk Foundation, The Danish Research Councils, a programme of excellence from the University of Copenhagen, and The Danish National Research Foundation (DNRF107). |
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Detection of glyco-mucin profiles improves specificity of MUC16 and MUC1 biomarkers in ovarian serous tumoursGlyco-mucin profileMUC1MUC16Ovarian cancerProximity ligation assayMolecular MedicineGeneticsCancer ResearchSDG 3 - Good Health and Well-beingSupport by Programa Operacional Ciencia e Inovacao 2010 do Quadro Comunitario de Apoio III and FEDER (PTDC/SAU-ONC/117216/2010). IPATIMUP is an Associate Laboratory of the Portuguese Ministry of Science, Technology and Higher Education and partially supported by FCT. Project NORTE - 07-0124-FEDER-000024 co-financed by Programa Operacional Regional do Norte (ON.2 - O Novo Norte), under Quadro de Referencia Estrategico Nacional (QREN), by Fundo Europeu de Desenvolvimento Regional (FEDER). Lara Marcos-Silva acknowledges also FCT for financial support through a PhD fellowship (SFRH/BD/60536/2009). Support by Kirsten og Freddy Johansen Fonden, A.P. Moller og Hustru Chastine McKinney Mollers Fond til Almene Formaal, The Novo Nordisk Foundation, The Danish Research Councils, a programme of excellence from the University of Copenhagen, and The Danish National Research Foundation (DNRF107).The CA125 assay detects circulating MUC16 and is one of the most widely used cancer biomarkers for the follow-up of ovarian cancer. We previously demonstrated that detection of aberrant cancer-associated glycoforms of MUC16 as well as MUC1 in circulation could improve the yield of these serum assays. Our aim was to refine ovarian cancer biomarkers by detection of aberrant glycoforms (Tn, STn, and T) of MUC16 and MUC1 in ovarian cancer tissue using Proximity Ligation Assays (PLA).We studied two series of serous ovarian tumours, a pilot series of 66 ovarian tumours (27 cystadenomas, 16 borderline tumours and 23 adenocarcinomas) from Centro Hospitalar S. João, Porto and a validation series of 89 ovarian tumours (17 cystadenomas, 25 borderline tumours and 47 adenocarcinomas) from the Portuguese Institute of Oncology Francisco Gentil, Lisbon.PLA reactions for MUC16/Tn, MUC16/STn, MUC1/Tn and MUC1/STn were negative in benign lesions but often positive in borderline and malignant lesions, in both series. An even better yield was obtained based on positivity for any of the four glyco-mucin profiles, further increasing sensitivity to 72% and 83% in the two series, respectively, with 100% specificity. The strategy is designated glyco-mucin profiling and provides strong support for development of PLA-based serum assays for early diagnosis.Centro de Estudos de Doenças Crónicas (CEDOC)NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)RUNRicardo, SaraMarcos-Silva, LaraPereira, DanielaPinto, RitaAlmeida, RaquelSöderberg, OlaMandel, UllaClausen, HenrikFelix, AnaLunet, NunoDavid, Leonor2017-09-13T22:03:57Z2015-02-012015-02-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article10application/pdfhttps://doi.org/10.1016/j.molonc.2014.10.005eng1574-7891PURE: 3127587http://www.scopus.com/inward/record.url?scp=84921309842&partnerID=8YFLogxKhttps://doi.org/10.1016/j.molonc.2014.10.005info: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:RCAAP2024-03-11T04:11:28Zoai:run.unl.pt:10362/23240Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:27:43.295296Repositório 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 |
Detection of glyco-mucin profiles improves specificity of MUC16 and MUC1 biomarkers in ovarian serous tumours |
title |
Detection of glyco-mucin profiles improves specificity of MUC16 and MUC1 biomarkers in ovarian serous tumours |
spellingShingle |
Detection of glyco-mucin profiles improves specificity of MUC16 and MUC1 biomarkers in ovarian serous tumours Ricardo, Sara Glyco-mucin profile MUC1 MUC16 Ovarian cancer Proximity ligation assay Molecular Medicine Genetics Cancer Research SDG 3 - Good Health and Well-being |
title_short |
Detection of glyco-mucin profiles improves specificity of MUC16 and MUC1 biomarkers in ovarian serous tumours |
title_full |
Detection of glyco-mucin profiles improves specificity of MUC16 and MUC1 biomarkers in ovarian serous tumours |
title_fullStr |
Detection of glyco-mucin profiles improves specificity of MUC16 and MUC1 biomarkers in ovarian serous tumours |
title_full_unstemmed |
Detection of glyco-mucin profiles improves specificity of MUC16 and MUC1 biomarkers in ovarian serous tumours |
title_sort |
Detection of glyco-mucin profiles improves specificity of MUC16 and MUC1 biomarkers in ovarian serous tumours |
author |
Ricardo, Sara |
author_facet |
Ricardo, Sara Marcos-Silva, Lara Pereira, Daniela Pinto, Rita Almeida, Raquel Söderberg, Ola Mandel, Ulla Clausen, Henrik Felix, Ana Lunet, Nuno David, Leonor |
author_role |
author |
author2 |
Marcos-Silva, Lara Pereira, Daniela Pinto, Rita Almeida, Raquel Söderberg, Ola Mandel, Ulla Clausen, Henrik Felix, Ana Lunet, Nuno David, Leonor |
author2_role |
author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Centro de Estudos de Doenças Crónicas (CEDOC) NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM) RUN |
dc.contributor.author.fl_str_mv |
Ricardo, Sara Marcos-Silva, Lara Pereira, Daniela Pinto, Rita Almeida, Raquel Söderberg, Ola Mandel, Ulla Clausen, Henrik Felix, Ana Lunet, Nuno David, Leonor |
dc.subject.por.fl_str_mv |
Glyco-mucin profile MUC1 MUC16 Ovarian cancer Proximity ligation assay Molecular Medicine Genetics Cancer Research SDG 3 - Good Health and Well-being |
topic |
Glyco-mucin profile MUC1 MUC16 Ovarian cancer Proximity ligation assay Molecular Medicine Genetics Cancer Research SDG 3 - Good Health and Well-being |
description |
Support by Programa Operacional Ciencia e Inovacao 2010 do Quadro Comunitario de Apoio III and FEDER (PTDC/SAU-ONC/117216/2010). IPATIMUP is an Associate Laboratory of the Portuguese Ministry of Science, Technology and Higher Education and partially supported by FCT. Project NORTE - 07-0124-FEDER-000024 co-financed by Programa Operacional Regional do Norte (ON.2 - O Novo Norte), under Quadro de Referencia Estrategico Nacional (QREN), by Fundo Europeu de Desenvolvimento Regional (FEDER). Lara Marcos-Silva acknowledges also FCT for financial support through a PhD fellowship (SFRH/BD/60536/2009). Support by Kirsten og Freddy Johansen Fonden, A.P. Moller og Hustru Chastine McKinney Mollers Fond til Almene Formaal, The Novo Nordisk Foundation, The Danish Research Councils, a programme of excellence from the University of Copenhagen, and The Danish National Research Foundation (DNRF107). |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-02-01 2015-02-01T00:00:00Z 2017-09-13T22:03:57Z |
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 |
https://doi.org/10.1016/j.molonc.2014.10.005 |
url |
https://doi.org/10.1016/j.molonc.2014.10.005 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1574-7891 PURE: 3127587 http://www.scopus.com/inward/record.url?scp=84921309842&partnerID=8YFLogxK https://doi.org/10.1016/j.molonc.2014.10.005 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
10 application/pdf |
dc.source.none.fl_str_mv |
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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) |
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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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