Urinary Metabolic Signatures Detect Recurrences in Non-Muscle Invasive Bladder Cancer

[EN] Patients with non-muscle invasive bladder cancer (NMIBC) undergo lifelong monitoring based on repeated cystoscopy and urinary cytology due to the high recurrence rate of this tumor. Nevertheless, these techniques have some drawbacks, namely, low accuracy in detection of low-grade tumors, omissi...

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Autores: Loras, Alba, Quintás, Guillermo, Gil Grau, Salvador, Ruiz-Cerdá, José Luis, Martínez-Bisbal, M.Carmen|||0000-0002-8526-4413, Martínez-Máñez, Ramón|||0000-0001-5873-9674
Tipo de documento: artigo
Data de publicação:2019
País:España
Recursos:Universitat Politècnica de València (UPV)
Repositório:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglês
OAI Identifier:oai:riunet.upv.es:10251/193457
Acesso em linha:https://riunet.upv.es/handle/10251/193457
Access Level:Acceso aberto
Palavra-chave:Bladder cancer
Recurrence prediction
Biomarker
Metabolite
Metabolomics
Metabolic pathways
Nuclear magnetic resonance
QUIMICA INORGANICA
id ES_f10557cc29ba9dba3d1308a4eb22cfdc
oai_identifier_str oai:riunet.upv.es:10251/193457
network_acronym_str ES
network_name_str España
repository_id_str
dc.title.none.fl_str_mv Urinary Metabolic Signatures Detect Recurrences in Non-Muscle Invasive Bladder Cancer
title Urinary Metabolic Signatures Detect Recurrences in Non-Muscle Invasive Bladder Cancer
spellingShingle Urinary Metabolic Signatures Detect Recurrences in Non-Muscle Invasive Bladder Cancer
Loras, Alba
Bladder cancer
Recurrence prediction
Biomarker
Metabolite
Metabolomics
Metabolic pathways
Nuclear magnetic resonance
QUIMICA INORGANICA
title_short Urinary Metabolic Signatures Detect Recurrences in Non-Muscle Invasive Bladder Cancer
title_full Urinary Metabolic Signatures Detect Recurrences in Non-Muscle Invasive Bladder Cancer
title_fullStr Urinary Metabolic Signatures Detect Recurrences in Non-Muscle Invasive Bladder Cancer
title_full_unstemmed Urinary Metabolic Signatures Detect Recurrences in Non-Muscle Invasive Bladder Cancer
title_sort Urinary Metabolic Signatures Detect Recurrences in Non-Muscle Invasive Bladder Cancer
dc.creator.none.fl_str_mv Loras, Alba
Quintás, Guillermo
Gil Grau, Salvador
Ruiz-Cerdá, José Luis
Martínez-Bisbal, M.Carmen|||0000-0002-8526-4413
Martínez-Máñez, Ramón|||0000-0001-5873-9674
author Loras, Alba
author_facet Loras, Alba
Quintás, Guillermo
Gil Grau, Salvador
Ruiz-Cerdá, José Luis
Martínez-Bisbal, M.Carmen|||0000-0002-8526-4413
Martínez-Máñez, Ramón|||0000-0001-5873-9674
author_role author
author2 Quintás, Guillermo
Gil Grau, Salvador
Ruiz-Cerdá, José Luis
Martínez-Bisbal, M.Carmen|||0000-0002-8526-4413
Martínez-Máñez, Ramón|||0000-0001-5873-9674
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Departamento de Química
Escuela Técnica Superior de Ingeniería Industrial
Instituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo Tecnológico
CIBER-BBN
GENERALITAT VALENCIANA
Instituto de Salud Carlos III
AGENCIA ESTATAL DE INVESTIGACION
Ministerio de Economía y Empresa
Agencia Estatal de Investigación
European Regional Development Fund
Ministerio de Economía y Competitividad
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Bladder cancer
Recurrence prediction
Biomarker
Metabolite
Metabolomics
Metabolic pathways
Nuclear magnetic resonance
QUIMICA INORGANICA
topic Bladder cancer
Recurrence prediction
Biomarker
Metabolite
Metabolomics
Metabolic pathways
Nuclear magnetic resonance
QUIMICA INORGANICA
description [EN] Patients with non-muscle invasive bladder cancer (NMIBC) undergo lifelong monitoring based on repeated cystoscopy and urinary cytology due to the high recurrence rate of this tumor. Nevertheless, these techniques have some drawbacks, namely, low accuracy in detection of low-grade tumors, omission of pre-neoplastic lesions and carcinomas in situ (CIS), invasiveness, and high costs. This work aims to identify a urinary metabolomic signature of recurrence by proton Nuclear Magnetic Resonance (H-1 NMR) spectroscopy for the follow-up of NMIBC patients. To do this, changes in the urinary metabolome before and after transurethral resection (TUR) of tumors are analyzed and a Partial Least Square Discriminant Analysis (PLS-DA) model is developed. The usefulness of this discriminant model for the detection of tumor recurrences is assessed using a cohort of patients undergoing monitoring. The trajectories of the metabolomic profile in the follow-up period provide a negative predictive value of 92.7% in the sample classification. Pathway analyses show taurine, alanine, aspartate, glutamate, and phenylalanine perturbed metabolism associated with NMIBC. These results highlight the potential of H-1 NMR metabolomics to detect bladder cancer (BC) recurrences through a non-invasive approach.
publishDate 2019
dc.date.none.fl_str_mv 2019
2019-06-26
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
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dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/193457
url https://riunet.upv.es/handle/10251/193457
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 RTI2018-100910-B-C41 MATERIALES POROSOS INTELIGENTES MULTIFUNCIONALES Y DISPOSITIVOS ELECTRONICOS PARA LA LIBERACION DE FARMACOS, DETECCION DE DROGAS Y BIOMARCADORES Y COMUNICACION A NANOESCALA
Generalitat Valenciana https://doi.org/10.13039/501100003359 PROMETEOII%2F2014%2F047 Nuevas aproximaciones para el diseño de materiales de liberación controlada y la detección de compuestos peligrosos
Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 RTI2018-100910-B-C43 DESARROLLO DE PLATAFORMAS DE DETECCION Y TERAPEUTICAS PARA APLICACIONES BIOMEDICAS BASADAS EN DISPOSITIVOS ELECTRONICOS
Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina https://doi.org/10.13039/501100005053 NANOPROBE Gated sensing materials and devices for the detection of infectious diseases and urological cancer
Ministerio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 MAT2015-64139-C4-1-R NANOMATERIALES INTELIGENTES, SONDAS Y DISPOSITIVOS PARA EL DESARROLLO INTEGRADO DE NUEVAS HERRAMIENTAS APLICADAS AL CAMPO BIOMEDICO
Generalitat Valenciana https://doi.org/10.13039/501100003359 PROMETEO%2F2018%2F024 SISTEMAS AVANZADOS DE LIBERACION CONTROLADA
Ministerio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 MAT2015-64139-C4-2-R SOLIDOS MESOPOROSOS Y PARTICULADOS PARA EL DISEÑO DE MATERIALES TERANOSTICOS
Instituto de Salud Carlos III https://doi.org/10.13039/501100004587 RETICRD12%2F0036%2F0009
Ministerio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 CTQ2016-79561-P
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI AG
publisher.none.fl_str_mv MDPI AG
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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spelling Urinary Metabolic Signatures Detect Recurrences in Non-Muscle Invasive Bladder CancerLoras, AlbaQuintás, GuillermoGil Grau, SalvadorRuiz-Cerdá, José LuisMartínez-Bisbal, M.Carmen|||0000-0002-8526-4413Martínez-Máñez, Ramón|||0000-0001-5873-9674Bladder cancerRecurrence predictionBiomarkerMetaboliteMetabolomicsMetabolic pathwaysNuclear magnetic resonanceQUIMICA INORGANICA[EN] Patients with non-muscle invasive bladder cancer (NMIBC) undergo lifelong monitoring based on repeated cystoscopy and urinary cytology due to the high recurrence rate of this tumor. Nevertheless, these techniques have some drawbacks, namely, low accuracy in detection of low-grade tumors, omission of pre-neoplastic lesions and carcinomas in situ (CIS), invasiveness, and high costs. This work aims to identify a urinary metabolomic signature of recurrence by proton Nuclear Magnetic Resonance (H-1 NMR) spectroscopy for the follow-up of NMIBC patients. To do this, changes in the urinary metabolome before and after transurethral resection (TUR) of tumors are analyzed and a Partial Least Square Discriminant Analysis (PLS-DA) model is developed. The usefulness of this discriminant model for the detection of tumor recurrences is assessed using a cohort of patients undergoing monitoring. The trajectories of the metabolomic profile in the follow-up period provide a negative predictive value of 92.7% in the sample classification. Pathway analyses show taurine, alanine, aspartate, glutamate, and phenylalanine perturbed metabolism associated with NMIBC. These results highlight the potential of H-1 NMR metabolomics to detect bladder cancer (BC) recurrences through a non-invasive approach.This work was partly supported by the financial support of FEDER cofounded MINECO grant NANOPROBE, MAT2015-64139-C4-1-R, MAT2015-64139-C4-2-R, RTI2018-100910-B-C41 and RTI2018-100910-B-C43 (MCUI/AEI/FEDER, UE), ISCIII-RETICRD12/0036/0009, CTQ2016-79561-P, PROMETEO II/2014/047 and PROMETEO 2018/024. A.L. acknowledges a predoctoral grant from the Generalitat Valenciana (VALI+D ACIF/2015/115).MDPI AGDepartamento de QuímicaEscuela Técnica Superior de Ingeniería IndustrialInstituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo TecnológicoCIBER-BBNGENERALITAT VALENCIANAInstituto de Salud Carlos IIIAGENCIA ESTATAL DE INVESTIGACIONMinisterio de Economía y EmpresaAgencia Estatal de InvestigaciónEuropean Regional Development FundMinisterio de Economía y CompetitividadRepositorio Institucional de la Universitat Politècnica de València Riunet20192019-06-26journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/193457reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 RTI2018-100910-B-C41 MATERIALES POROSOS INTELIGENTES MULTIFUNCIONALES Y DISPOSITIVOS ELECTRONICOS PARA LA LIBERACION DE FARMACOS, DETECCION DE DROGAS Y BIOMARCADORES Y COMUNICACION A NANOESCALAGeneralitat Valenciana https://doi.org/10.13039/501100003359 PROMETEOII%2F2014%2F047 Nuevas aproximaciones para el diseño de materiales de liberación controlada y la detección de compuestos peligrososAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 RTI2018-100910-B-C43 DESARROLLO DE PLATAFORMAS DE DETECCION Y TERAPEUTICAS PARA APLICACIONES BIOMEDICAS BASADAS EN DISPOSITIVOS ELECTRONICOSCentro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina https://doi.org/10.13039/501100005053 NANOPROBE Gated sensing materials and devices for the detection of infectious diseases and urological cancerMinisterio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 MAT2015-64139-C4-1-R NANOMATERIALES INTELIGENTES, SONDAS Y DISPOSITIVOS PARA EL DESARROLLO INTEGRADO DE NUEVAS HERRAMIENTAS APLICADAS AL CAMPO BIOMEDICOGeneralitat Valenciana https://doi.org/10.13039/501100003359 PROMETEO%2F2018%2F024 SISTEMAS AVANZADOS DE LIBERACION CONTROLADAMinisterio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 MAT2015-64139-C4-2-R SOLIDOS MESOPOROSOS Y PARTICULADOS PARA EL DISEÑO DE MATERIALES TERANOSTICOSInstituto de Salud Carlos III https://doi.org/10.13039/501100004587 RETICRD12%2F0036%2F0009Ministerio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 CTQ2016-79561-Popen accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento (by)http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/1934572026-06-13T07:49:27Z
score 15,301629

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