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Urinary metabolic signatures detect recurrences in non-muscle invasive bladder cancer

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Urinary metabolic signatures detect recurrences in non-muscle invasive bladder cancer

dc.contributor.author	Loras, Alba
dc.contributor.author	Martínez Bisbal, María Carmen
dc.contributor.author	Quintás Soriano, Guillermo
dc.contributor.author	Gil, Salvador
dc.contributor.author	Martínez Mañez, Ramón
dc.contributor.author	Ruiz Cerdá, José Luis
dc.date.accessioned	2020-04-07T11:53:11Z
dc.date.available	2020-04-07T11:53:11Z
dc.date.issued	2019
dc.identifier.citation	Loras, Alba Martinez Bisbal, Maria Carmen Quintás, Guillermo Gil, Salvador Martínez Mañez, Ramón Ruiz Cerdá, Jose Luis 2019 Urinary metabolic signatures detect recurrences in non-muscle invasive bladder cancer Cancers 11 914
dc.identifier.uri	https://hdl.handle.net/10550/73829
dc.description.abstract	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 (1H 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 1H NMR metabolomics to detect bladder cancer (BC) recurrences through a non-invasive approach.
dc.relation.ispartof	Cancers, 2019, vol. 11, p. 914
dc.subject	Càncer
dc.subject	Urologia
dc.title	Urinary metabolic signatures detect recurrences in non-muscle invasive bladder cancer
dc.type	journal article	es_ES
dc.date.updated	2020-04-07T11:53:12Z
dc.identifier.doi	10.3390/cancers11070914
dc.identifier.idgrec	134481
dc.rights.accessRights	open access	es_ES