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Urinary Volatomic Expression Pattern: Paving the Way for Identification of Potential Candidate Biosignatures for Lung Cancer

2022Journal article Open access
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dc.contributor.authorTaunk, Khushman
dc.contributor.authorPorto-Figueira, Priscilla
dc.contributor.authorPereira, Jorge A. M.
dc.contributor.authorTaware, Ravindra
dc.contributor.authorCosta, Nattane Luíza da
dc.contributor.authorBarbosa, Rommel
dc.contributor.authorRapole, Srikanth
dc.contributor.authorCâmara, José S.
dc.date.accessioned2022-10-13T15:34:33Z
dc.date.available2022-10-13T15:34:33Z
dc.date.issued2022
dc.description.abstractThe urinary volatomic profiling of Indian cohorts composed of 28 lung cancer (LC) pa tients and 27 healthy subjects (control group, CTRL) was established using headspace solid phase microextraction technique combined with gas chromatography mass spectrometry methodology as a powerful approach to identify urinary volatile organic metabolites (uVOMs) to discriminate among LC patients from CTRL. Overall, 147 VOMs of several chemistries were identified in the intervention groups—including naphthalene derivatives, phenols, and organosulphurs—augmented in the LC group. In contrast, benzene and terpenic derivatives were found to be more prevalent in the CTRL group. The volatomic data obtained were processed using advanced statistical analysis, namely partial least square discriminative analysis (PLS-DA), support vector machine (SVM), random forest (RF), and multilayer perceptron (MLP) methods. This resulted in the identification of nine uVOMs with a higher potential to discriminate LC patients from CTRL subjects. These were furan, o-cymene, furfural, linalool oxide, viridiflorene, 2-bromo-phenol, tricyclazole, 4-methyl-phenol, and 1-(4-hydroxy-3,5-di-tert-butylphenyl)-2-methyl-3-morpholinopropan-1-one. The metabolic pathway analysis of the data obtained identified several altered biochemical pathways in LC mainly affecting glycolysis/gluconeogenesis, pyruvate metabolism, and fatty acid biosynthesis. Moreover, acetate and octanoic, decanoic, and dodecanoic fatty acids were identified as the key metabolites responsible for such deregulation. Furthermore, studies involving larger cohorts of LC patients would allow us to consolidate the data obtained and challenge the potential of the uVOMs as candidate biomarkers for LC.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationTaunk, K.; Porto-Figueira, P.; Pereira, J.A.M.; Taware, R.; da Costa, N.L.; Barbosa, R.; Rapole, S.; Câmara, J.S. Urinary Volatomic Expression Pattern: Paving the Way for Identification of Potential Candidate Biosignatures for Lung Cancer. Metabolites 2022, 12, 36. https://doi.org/10.3390/ metabo12010036pt_PT
dc.identifier.doi10.3390/metabo12010036pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.13/4704
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationMadeira Chemistry Research Centre
dc.relationMadeira Chemistry Research Centre
dc.relationHNC-i3OMICS - Development of an innovative and integrated platform based on OMICS patterns towards the next generation of cancer diagnosis and management
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectLung cancer (LC) biomarkerspt_PT
dc.subjectVolatile organic metabolites (VOMs)pt_PT
dc.subjectHS-SPMEpt_PT
dc.subjectGC-qMSpt_PT
dc.subject.pt_PT
dc.subjectFaculdade de Ciências Exatas e da Engenhariapt_PT
dc.subjectCentro de Química da Madeira
dc.titleUrinary Volatomic Expression Pattern: Paving the Way for Identification of Potential Candidate Biosignatures for Lung Cancerpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleMadeira Chemistry Research Centre
oaire.awardTitleMadeira Chemistry Research Centre
oaire.awardTitleHNC-i3OMICS - Development of an innovative and integrated platform based on OMICS patterns towards the next generation of cancer diagnosis and management
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00674%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F00674%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/OE/SFRH%2FBD%2F129630%2F2017/PT
oaire.citation.issue1pt_PT
oaire.citation.startPage36pt_PT
oaire.citation.titleMetabolitespt_PT
oaire.citation.volume12pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStreamOE
person.familyNameTAUNK
person.familyNamePorto-Figueira
person.familyNameAugusto Machado Pereira
person.familyNameTaware
person.familyNameRapole
person.familyNameCâmara
person.givenNameKHUSHMAN
person.givenNamePriscilla
person.givenNameJorge
person.givenNameRavindra
person.givenNameSrikanth
person.givenNameJosé
person.identifierG-3003-2013
person.identifier.ciencia-idAD11-4860-FB1B
person.identifier.ciencia-idEC12-EE8F-50E8
person.identifier.ciencia-id481C-08CE-90E5
person.identifier.orcid0000-0003-2293-2936
person.identifier.orcid0000-0001-7773-182X
person.identifier.orcid0000-0003-0316-5348
person.identifier.orcid0000-0001-7893-2850
person.identifier.orcid0000-0003-0273-0819
person.identifier.orcid0000-0003-1965-3151
person.identifier.scopus-author-id56724173300
person.identifier.scopus-author-id57195429801
person.identifier.scopus-author-id10140393000
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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