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Nuclear magnetic resonance metabolomics reveals an excretory metabolic signature of renal cell carcinoma

2016Journal article Open access
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dc.contributor.authorMonteiro, Márcia S.
dc.contributor.authorBarros, António S.
dc.contributor.authorPinto, Joana
dc.contributor.authorCarvalho, Márcia
dc.contributor.authorPires-Luís, Ana S.
dc.contributor.authorHenrique, Rui
dc.contributor.authorJerónimo, Carmen
dc.contributor.authorBastos, Maria de Lourdes
dc.contributor.authorGil, Ana M.
dc.contributor.authorGuedes de Pinho, Paula
dc.date.accessioned2021-07-02T11:43:33Z
dc.date.available2021-07-02T11:43:33Z
dc.date.issued2016
dc.description.abstractRCC usually develops and progresses asymptomatically and, when detected, it is frequently at advanced stages and metastatic, entailing a dismal prognosis. Therefore, there is an obvious demand for new strategies enabling an earlier diagnosis. The importance of metabolic rearrangements for carcinogenesis unlocked a new approach for cancer research, catalyzing the increased use of metabolomics. The present study aimed the NMR metabolic profiling of RCC in urine samples from a cohort of RCC patients (n = 42) and controls (n = 49). The methodology entailed variable selection of the spectra in tandem with multivariate analysis and validation procedures. The retrieval of a disease signature was preceded by a systematic evaluation of the impacts of subject age, gender, BMI, and smoking habits. The impact of confounders on the urine metabolomics profile of this population is residual compared to that of RCC. A 32-metabolite/resonance signature descriptive of RCC was unveiled, successfully distinguishing RCC patients from controls in principal component analysis. This work demonstrates the value of a systematic metabolomics workflow for the identification of robust urinary metabolic biomarkers of RCC. Future studies should entail the validation of the 32-metabolite/resonance signature found for RCC in independent cohorts, as well as biological validation of the putative hypotheses advanced.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1038/srep37275pt_PT
dc.identifier.issn2045-2322
dc.identifier.urihttp://hdl.handle.net/10284/10022
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherNature Publishing Grouppt_PT
dc.relationThis work received financial support from the European Union (FEDER funds POCI/01/0145/FEDER/007728) and National Funds (FCT/MEC, Fundação para a Ciência e Tecnologia and Ministério da Educação e Ciência) under the Partnership Agreement PT2020 UID/MULTI/04378/2013. It was also developed within the scope of the project CICECO-Aveiro Institute of Materials, POCI-01-0145-FEDER 007679 (FCT Ref. UID /CTM /50011/2013), financed by national funds through the FCT/MEC and when appropriate co-financed by FEDER under the PT2020 Partnership Agreement.pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.titleNuclear magnetic resonance metabolomics reveals an excretory metabolic signature of renal cell carcinomapt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue1pt_PT
oaire.citation.titleScientific Reportspt_PT
oaire.citation.volume6pt_PT
person.familyNameCarvalho
person.givenNameMarcia
person.identifier2017111
person.identifier.ciencia-id8B10-171E-E63E
person.identifier.orcid0000-0001-9884-4751
person.identifier.ridD-5999-2013
person.identifier.scopus-author-id7201413997
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication3837b828-ba57-47f7-a811-cce65e4922c6
relation.isAuthorOfPublication.latestForDiscovery3837b828-ba57-47f7-a811-cce65e4922c6

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