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GC-MS metabolomics-based approach for the identification of a potential VOC-biomarker panel in the urine of renal cell carcinoma patients

2017-01Journal article Open access
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dc.contributor.authorMonteiro, Márcia
dc.contributor.authorMoreira, Nathalie
dc.contributor.authorPinto, Joana
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.authorCarvalho, Márcia
dc.contributor.authorGuedes de Pinho, Paula
dc.date.accessioned2019-10-01T12:38:40Z
dc.date.available2019-10-01T12:38:40Z
dc.date.issued2017-01
dc.description.abstractThe analysis of volatile organic compounds (VOCs) emanating from biological samples appears as one of the most promising approaches in metabolomics for the study of diseases, namely cancer. In fact, it offers advantages, such as non-invasiveness and robustness for high-throughput applications. The purpose of this work was to study the urinary volatile metabolic profile of patients with renal cell carcinoma (RCC) (n = 30) and controls (n = 37) with the aim of identifying a potential specific urinary volatile pattern as a non-invasive strategy to detect RCC. Moreover, the effect of some confounding factors such as age, gender, smoking habits and body mass index was evaluated as well as the ability of urinary VOCs to discriminate RCC subtypes and stages. A headspace solid-phase microextraction/gas chromatography-mass spectrometry-based method was performed, followed by multivariate data analysis. A variable selection method was applied to reduce the impact of potential redundant and noisy chromatographic variables, and all models were validated by Monte Carlo cross-validation and permutation tests. Regarding the effect of RCC on the urine VOCs composition, a panel of 21 VOCs descriptive of RCC was defined, capable of discriminating RCC patients from controls in principal component analysis. Discriminant VOCs were further individually validated in two independent samples sets (nine RCC patients and 12 controls, seven RCC patients with diabetes mellitus type 2) by univariate statistical analysis. Two VOCs were found consistently and significantly altered between RCC and controls (2-oxopropanal and, according to identification using NIST14, 2,5,8-trimethyl-1,2,3,4-tetrahydronaphthalene-1-ol), strongly suggesting enhanced potential as RCC biomarkers. Gender, smoking habits and body mass index showed negligible and age-only minimal effects on the urinary VOCs, compared to the deviations resultant from the disease. Moreover, in this cohort, the urinary volatilome did not show ability to discriminate RCC stages and histological subtypes. The results validated the value of urinary volatilome for the detection of RCC and advanced with the identification of potential RCC urinary biomarkers.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1111/jcmm.13132pt_PT
dc.identifier.eissn1582-4934
dc.identifier.issn1582-1838
dc.identifier.urihttp://hdl.handle.net/10284/8089
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherJohn Wiley & Sonspt_PT
dc.relationEuropean Union (FEDER funds POCI/01/0145/FEDER/007728)pt_PT
dc.relationNational Funds (FCT/MEC, Fundação para a Ciência e Tecnologia and Ministério da Educação e Ciência) under the Partnership Agreement PT2020 UID/MULTI/04378/2013pt_PT
dc.relationPOCI-01-0145- FEDER 007679 (FCT Ref. UID /CTM /50011/2013)pt_PT
dc.relation.publisherversionhttps://onlinelibrary.wiley.com/doi/full/10.1111/jcmm.13132pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectVolatile organic compoundspt_PT
dc.subjectUrinept_PT
dc.subjectBiomarkerspt_PT
dc.subjectRenal cell carcinomapt_PT
dc.subjectGas chromatography–mass spectrometrypt_PT
dc.subjectMultivariate statistical analysispt_PT
dc.titleGC-MS metabolomics-based approach for the identification of a potential VOC-biomarker panel in the urine of renal cell carcinoma patientspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage2105pt_PT
oaire.citation.issue9pt_PT
oaire.citation.startPage2092pt_PT
oaire.citation.titleJournal of Cellular and Molecular Medicinept_PT
oaire.citation.volume21pt_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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