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Volatomic pattern of breast cancer and cancer-free tissues as a powerful strategy to identify potential biomarkers

2019Journal article Open access
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dc.contributor.authorSilva, Catarina
dc.contributor.authorPerestrelo, Rosa
dc.contributor.authorSilva, Pedro
dc.contributor.authorCapelinha, Filipa
dc.contributor.authorTomás, Helena
dc.contributor.authorCâmara, José S.
dc.date.accessioned2022-06-14T14:24:16Z
dc.date.available2022-06-14T14:24:16Z
dc.date.issued2019
dc.description.abstractBreast cancer (BC), ranked as the fifth amongst all cancers, remains at the top of women’s cancers worldwide followed by colorectal, lung, cervix, and stomach cancers. The main handicap of most of the screening/diagnostic methods is based on their low sensitivity and specificity and the invasive behavior of most sampling procedures. The aim of this study was to establish the volatomic pattern of BC and cancer-free (CF) tissues (n = 30) from the same patients, as a powerful tool to identify a set of volatile organic metabolite (VOM) potential BC biomarkers which might be used together or complement with the traditional BC diagnostics strategies, through the integration of chromatographic data, obtained by solid-phase microextraction followed by gas chromatography-mass spectrometry (SPME/GC-qMS), with chemometric tools. A total of four metabolites: limonene, decanoic acid, acetic acid and furfural presented the highest contribution towards discrimination of BC and CF tissues (VIP > 1, p < 0.05). The discrimination efficiency and accuracy of BC tissue metabolites was ascertained by ROC curve analysis that allowed the identification of some metabolites with high sensitivity and specificity. The results obtained with this approach suggest the possibility of identifying endogenous metabolites as a platform to find potential BC biomarkers and pave the way to investigate the related metabolomic pathways in order to improve BC diagnostic tools. Moreover, deeper investigations could unravel novel mechanistic insights into the disease pathophysiology.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSilva, C., Perestrelo, R., Silva, P., Capelinha, F., Tomás, H., & Câmara, J. S. (2019). Volatomic pattern of breast cancer and cancer-free tissues as a powerful strategy to identify potential biomarkers. Analyst, 144(14), 4153-4161. DOI: 10.1039/c9an00263dpt_PT
dc.identifier.doi10.1039/C9AN00263Dpt_PT
dc.identifier.urihttp://hdl.handle.net/10400.13/4329
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherRoyal Society of Chemistrypt_PT
dc.relationMadeira Chemistry Research Centre
dc.relationNon-invasive, innovative and promising strategy for early diagnosis of breast cancer through the establishment of urinary volatile metabolomic profiles of breast cancer patients as well as from breast cancer tissues and breast cancer cell lines
dc.relationFrom the development of a new nanomaterial-based device to the early disease diagnosis of lung cancer based on the volatomic and proteomic pattern of exhaled breath - Innovative stratey for selective removal of ethyl carbamate from wines through the development of a molecular imprinted polymer coated on celulose nanofibers
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/pt_PT
dc.subjectBreast cancerpt_PT
dc.subjectVolatomic patternpt_PT
dc.subjectBiomarkerspt_PT
dc.subject.pt_PT
dc.subjectFaculdade de Ciências Exatas e da Engenhariapt_PT
dc.subjectEscola Superior de Saúdept_PT
dc.subjectCentro de Química da Madeira
dc.titleVolatomic pattern of breast cancer and cancer-free tissues as a powerful strategy to identify potential biomarkerspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleMadeira Chemistry Research Centre
oaire.awardTitleNon-invasive, innovative and promising strategy for early diagnosis of breast cancer through the establishment of urinary volatile metabolomic profiles of breast cancer patients as well as from breast cancer tissues and breast cancer cell lines
oaire.awardTitleFrom the development of a new nanomaterial-based device to the early disease diagnosis of lung cancer based on the volatomic and proteomic pattern of exhaled breath - Innovative stratey for selective removal of ethyl carbamate from wines through the development of a molecular imprinted polymer coated on celulose nanofibers
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FQUI%2F00674%2F2019/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/OE/SFRH%2FBD%2F97039%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBPD%2F97387%2F2013/PT
oaire.citation.endPage4161pt_PT
oaire.citation.issue14pt_PT
oaire.citation.startPage4153pt_PT
oaire.citation.titleThe Analystpt_PT
oaire.citation.volume144pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStreamOE
person.familyNameSousa Luís
person.familyNamePerestrelo
person.familyNameSilva
person.familyNameTomás
person.familyNameCâmara
person.givenNameCatarina Grace
person.givenNameRosa
person.givenNamePedro
person.givenNameHelena
person.givenNameJosé
person.identifierC-1300-2019
person.identifier1441319
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person.identifier.ciencia-id4D14-D31E-A8BE
person.identifier.ciencia-id481C-08CE-90E5
person.identifier.orcid0000-0002-3018-3165
person.identifier.orcid0000-0002-7223-1022
person.identifier.orcid0000-0001-7932-1015
person.identifier.orcid0000-0002-7856-2041
person.identifier.orcid0000-0003-1965-3151
person.identifier.ridI-2307-2014
person.identifier.ridE-5991-2010
person.identifier.scopus-author-id57194492726
person.identifier.scopus-author-id16686828800
person.identifier.scopus-author-id6508104177
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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