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Renal cell carcinoma: a critical analysis of metabolomic biomarkers emerging from current model systems

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dc.contributor.authorRodrigues, Daniela
dc.contributor.authorMonteiro, Márcia
dc.contributor.authorJerónimo, Carmen
dc.contributor.authorHenrique, Rui
dc.contributor.authorBelo, Luís
dc.contributor.authorBastos, Maria de Lourdes
dc.contributor.authorGuedes de Pinho, Paula
dc.contributor.authorCarvalho, Márcia
dc.date.accessioned2021-07-02T15:45:58Z
dc.date.available2021-07-02T15:45:58Z
dc.date.issued2017
dc.description.abstractMetabolomics, an emerging field of "omics" sciences, has caught wide scientific attention in the area of biomarker research for cancers in which early diagnostic biomarkers have the potential to greatly improve patient outcome, such as renal cell carcinoma (RCC). Metabolomic approaches have been successfully applied to various human RCC model systems, mostly ex vivo neoplastic renal tissues and biofluids (urine and serum) from patients with RCC. Importantly, in contrast to other cancers, only a few studies have addressed the RCC metabolome using cancer cell culture-based in vitro models. Herein, we first carried out a comprehensive review of current metabolomic data in RCC, with emphasis on metabolite disturbances and dysregulated metabolic pathways identified in each of these experimental models. We then critically analyzed the consistency of evidence in this field and whether metabolites found altered in tumor cell and tissue microenvironment are reflected in biofluids, which constitute the rationale underlying the translation of discovered metabolic biomarkers into noninvasive diagnostic tools. Finally, dominant metabolic pathways and promising metabolites as biomarkers for diagnosis and prognosis of RCC are outlined.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1016/j.trsl.2016.07.018pt_PT
dc.identifier.eissn1878-1810
dc.identifier.issn1931-5244
dc.identifier.urihttp://hdl.handle.net/10284/10037
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationPOCI/01/0145/FEDER/ 007728pt_PT
dc.relationApplied Molecular Biosciences Unit
dc.relation.publisherversionhttp://www.sciencedirect.com/science/journal/19315244pt_PT
dc.subjectBiomarkerspt_PT
dc.subjectCarcinomapt_PT
dc.subjectHumanspt_PT
dc.subjectKidney neoplasmspt_PT
dc.subjectTranslational medical researchpt_PT
dc.subjectMetabolomept_PT
dc.subjectModelspt_PT
dc.subjectTumorpt_PT
dc.subjectRenal cellpt_PT
dc.subjectBiologicalpt_PT
dc.titleRenal cell carcinoma: a critical analysis of metabolomic biomarkers emerging from current model systemspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleApplied Molecular Biosciences Unit
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FMulti%2F04378%2F2013/PT
oaire.citation.endPage11pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleTranslational Researchpt_PT
oaire.citation.volume180pt_PT
oaire.fundingStream6817 - DCRRNI ID
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
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication3837b828-ba57-47f7-a811-cce65e4922c6
relation.isAuthorOfPublication.latestForDiscovery3837b828-ba57-47f7-a811-cce65e4922c6
relation.isProjectOfPublication61924098-eb12-4752-9d4a-6e4243fc921d
relation.isProjectOfPublication.latestForDiscovery61924098-eb12-4752-9d4a-6e4243fc921d

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