Pathway-guided monitoring of the disease course in bladder cancer with longitudinal urine proteomics

Detalhes bibliográficos
Autor(a) principal: Carvalho, Luís Botelho
Data de Publicação: 2023
Outros Autores: Capelo, José Luís, Lodeiro, Carlos, Dhir, Rajiv, Pinheiro, Luís Campos, Lopez-Fernandez, Hugo, Martins, Gonçalo, Medeiros, Mariana, Díaz, Fernando, Santos, Hugo Miguel
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/158383
Resumo: PM003/2016). H.López-Fernández is supported by a ‘María Zambrano’ post-doctoral contract from Ministerio de Universidades (Gobierno de España).
id RCAP_bb0e13efd0cb785495bdacd872d79cea
oai_identifier_str oai:run.unl.pt:10362/158383
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Pathway-guided monitoring of the disease course in bladder cancer with longitudinal urine proteomicsSDG 3 - Good Health and Well-beingPM003/2016). H.López-Fernández is supported by a ‘María Zambrano’ post-doctoral contract from Ministerio de Universidades (Gobierno de España).Background Monitoring bladder cancer over time requires invasive and costly procedures. Less invasive approaches are required using readily available biological samples such as urine. In this study, we demonstrate a method for longitudinal analysis of the urine proteome to monitor the disease course in patients with bladder cancer. Methods We compared the urine proteomes of patients who experienced recurrence and/or progression (n = 13) with those who did not (n = 17). We identified differentially expressed proteins within various pathways related to the hallmarks of cancer. The variation of such pathways during the disease course was determined using our differential personal pathway index (dPPi) calculation, which could indicate disease progression and the need for medical intervention. Results Seven hallmark pathways are used to develop the dPPi. We demonstrate that we can successfully longitudinally monitor the disease course in bladder cancer patients through a combination of urine proteomic analysis and the dPPi calculation, over a period of 62 months. Conclusions Using the information contained in the patient’s urinary proteome, the dPPi reflects the individual’s course of bladder cancer, and helps to optimise the use of more invasive procedures such as cystoscopy.DQ - Departamento de QuímicaLAQV@REQUIMTENOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)RUNCarvalho, Luís BotelhoCapelo, José LuísLodeiro, CarlosDhir, RajivPinheiro, Luís CamposLopez-Fernandez, HugoMartins, GonçaloMedeiros, MarianaDíaz, FernandoSantos, Hugo Miguel2023-09-27T22:26:06Z2023-01-162023-01-16T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article10application/pdfhttp://hdl.handle.net/10362/158383eng2730-664xPURE: 72500471https://doi.org/10.1038/s43856-023-00238-4info: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:RCAAP2024-03-11T05:40:44Zoai:run.unl.pt:10362/158383Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:57:06.495108Repositório 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 Pathway-guided monitoring of the disease course in bladder cancer with longitudinal urine proteomics
title Pathway-guided monitoring of the disease course in bladder cancer with longitudinal urine proteomics
spellingShingle Pathway-guided monitoring of the disease course in bladder cancer with longitudinal urine proteomics
Carvalho, Luís Botelho
SDG 3 - Good Health and Well-being
title_short Pathway-guided monitoring of the disease course in bladder cancer with longitudinal urine proteomics
title_full Pathway-guided monitoring of the disease course in bladder cancer with longitudinal urine proteomics
title_fullStr Pathway-guided monitoring of the disease course in bladder cancer with longitudinal urine proteomics
title_full_unstemmed Pathway-guided monitoring of the disease course in bladder cancer with longitudinal urine proteomics
title_sort Pathway-guided monitoring of the disease course in bladder cancer with longitudinal urine proteomics
author Carvalho, Luís Botelho
author_facet Carvalho, Luís Botelho
Capelo, José Luís
Lodeiro, Carlos
Dhir, Rajiv
Pinheiro, Luís Campos
Lopez-Fernandez, Hugo
Martins, Gonçalo
Medeiros, Mariana
Díaz, Fernando
Santos, Hugo Miguel
author_role author
author2 Capelo, José Luís
Lodeiro, Carlos
Dhir, Rajiv
Pinheiro, Luís Campos
Lopez-Fernandez, Hugo
Martins, Gonçalo
Medeiros, Mariana
Díaz, Fernando
Santos, Hugo Miguel
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv DQ - Departamento de Química
LAQV@REQUIMTE
NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
RUN
dc.contributor.author.fl_str_mv Carvalho, Luís Botelho
Capelo, José Luís
Lodeiro, Carlos
Dhir, Rajiv
Pinheiro, Luís Campos
Lopez-Fernandez, Hugo
Martins, Gonçalo
Medeiros, Mariana
Díaz, Fernando
Santos, Hugo Miguel
dc.subject.por.fl_str_mv SDG 3 - Good Health and Well-being
topic SDG 3 - Good Health and Well-being
description PM003/2016). H.López-Fernández is supported by a ‘María Zambrano’ post-doctoral contract from Ministerio de Universidades (Gobierno de España).
publishDate 2023
dc.date.none.fl_str_mv 2023-09-27T22:26:06Z
2023-01-16
2023-01-16T00:00:00Z
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/10362/158383
url http://hdl.handle.net/10362/158383
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2730-664x
PURE: 72500471
https://doi.org/10.1038/s43856-023-00238-4
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 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
_version_ 1799138154470440960