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Volatilomics reveals potential biomarkers for identification of renal cell carcinoma: an in vitro approach

2020Journal article Open access
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dc.contributor.authorAmaro, Filipa
dc.contributor.authorPinto, Joana
dc.contributor.authorRocha, Sílvia
dc.contributor.authorAraújo, Ana Margarida
dc.contributor.authorMiranda-Gonçalves, Vera
dc.contributor.authorJerónimo, Carmen
dc.contributor.authorHenrique, Rui
dc.contributor.authorBastos, Maria de Lourdes
dc.contributor.authorCarvalho, Márcia
dc.contributor.authorGuedes de Pinho, Paula
dc.date.accessioned2021-06-29T16:51:00Z
dc.date.available2021-06-29T16:51:00Z
dc.date.issued2020
dc.description.abstractThe identification of noninvasive biomarkers able to detect renal cell carcinoma (RCC) at an early stage remains an unmet clinical need. The recognition that altered metabolism is a core hallmark of cancer boosted metabolomic studies focused in the search for cancer biomarkers. The present work aims to evaluate the performance of the volatile metabolites present in the extracellular medium to discriminate RCC cell lines with distinct histological subtypes (clear cell and papillary) and metastatic potential from non-tumorigenic renal cells. Hence, volatile organic compounds (VOCs) and volatile carbonyl compounds (VCCs) were extracted by headspace solid-phase microextraction (HS-SPME) and analyzed by gas chromatography-mass spectrometry (GC-MS). Multivariate and univariate analysis unveiled a panel of metabolites responsible for the separation between groups, mostly belonging to ketones, alcohols, alkanes and aldehydes classes. Some metabolites were found similarly altered for all RCC cell lines compared to non-tumorigenic cells, namely 2-ethylhexanol, tetradecane, formaldehyde, acetone (increased) and cyclohexanone and acetaldehyde (decreased). Furthermore, significantly altered levels of cyclohexanol, decanal, decane, dodecane and 4-methylbenzaldehyde were observed in all metastatic RCC cell lines when compared with the non-metastatic ones. Moreover, some alterations in the volatile composition were also observed between RCC histological subtypes. Overall, our results demonstrate the potential of volatile profiling for identification of noninvasive candidate biomarkers for early RCC diagnosis.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.3390/metabo10050174pt_PT
dc.identifier.issn2218-1989
dc.identifier.urihttp://hdl.handle.net/10284/9974
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationThis work was financed by FEDER—Fundo Europeu de Desenvolvimento Regional funds through the COMPETE 2020—Operacional Programme for Competitiveness and Internationalisation (POCI), by Portuguese funds through FCT—Fundação para a Ciência e a Tecnologia in the framework of the project POCI-01-0145-FEDER-030388 - PTDC/SAU-SER/30388/2017 and by national funds from FCT/MCTES (UIDB/MULTI/04378/2020).pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectRenal cell carcinomapt_PT
dc.subjectCell linespt_PT
dc.subjectMetabolomicspt_PT
dc.subjectVolatile compoundspt_PT
dc.subjectHS-SPME/GC–MSpt_PT
dc.subjectBiomarkerspt_PT
dc.titleVolatilomics reveals potential biomarkers for identification of renal cell carcinoma: an in vitro approachpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue5pt_PT
oaire.citation.startPage174pt_PT
oaire.citation.titleMetabolitespt_PT
oaire.citation.volume10pt_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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