Publication
Untargeted urinary 1H NMR-based metabolomic pattern as a potential platform in breast cancer detection
dc.contributor.author | Silva, Catarina L. | |
dc.contributor.author | Olival, Ana | |
dc.contributor.author | Perestrelo, Rosa | |
dc.contributor.author | Silva, Pedro | |
dc.contributor.author | Tomás, Helena | |
dc.contributor.author | Câmara, José S. | |
dc.date.accessioned | 2022-06-15T10:14:53Z | |
dc.date.available | 2022-06-15T10:14:53Z | |
dc.date.issued | 2019 | |
dc.description.abstract | : Breast cancer (BC) remains the second leading cause of death among women worldwide. An emerging approach based on the identification of endogenous metabolites (EMs) and the establishment of the metabolomic fingerprint of biological fluids constitutes a new frontier in medical diagnostics and a promising strategy to differentiate cancer patients from healthy individuals. In this work we aimed to establish the urinary metabolomic patterns from 40 BC patients and 38 healthy controls (CTL) using proton nuclear magnetic resonance spectroscopy (1H-NMR) as a powerful approach to identify a set of BC-specific metabolites which might be employed in the diagnosis of BC. Orthogonal partial least squares-discriminant analysis (OPLS-DA) was applied to a 1H-NMR processed data matrix. Metabolomic patterns distinguished BC from CTL urine samples, suggesting a unique metabolite profile for each investigated group. A total of 10 metabolites exhibited the highest contribution towards discriminating BC patients from healthy controls (variable importance in projection (VIP) >1, p < 0.05). The discrimination efficiency and accuracy of the urinary EMs were ascertained by receiver operating characteristic curve (ROC) analysis that allowed the identification of some metabolites with the highest sensitivities and specificities to discriminate BC patients from healthy controls (e.g. creatine, glycine, trimethylamine N-oxide, and serine). The metabolomic pathway analysis indicated several metabolism pathway disruptions, including amino acid and carbohydrate metabolisms, in BC patients, namely, glycine and butanoate metabolisms. The obtained results support the high throughput potential of NMR-based urinary metabolomics patterns in discriminating BC patients from CTL. Further investigations could unravel novel mechanistic insights into disease pathophysiology, monitor disease recurrence, and predict patient response towards therapy. | pt_PT |
dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.citation | Silva, C. L., Olival, A., Perestrelo, R., Silva, P., Tomás, H., & Câmara, J. S. (2019). Untargeted urinary 1H NMR-based metabolomic pattern as a potential platform in breast cancer detection. Metabolites, 9(11), 269. https://doi.org/10.3390/metabo9110269 | pt_PT |
dc.identifier.doi | 10.3390/metabo9110269 | pt_PT |
dc.identifier.uri | http://hdl.handle.net/10400.13/4330 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.publisher | MDPI | pt_PT |
dc.relation | Madeira Chemistry Research Centre | |
dc.relation | EXPLORING THE VOLATOME OF NONCOMMUNICABLE DISEASES AS A PROMISING, INNOVATIVE AND INTEGRATING APPROACH FOR THEIR RAPID DIAGNOSTICS. THE CASE STUDY OF CANCER AND NEURODEGENERATIVE DISEASES | |
dc.relation | Non-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.relation | From 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.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
dc.subject | Breast cancer | pt_PT |
dc.subject | 1H NMR | pt_PT |
dc.subject | Urine | pt_PT |
dc.subject | Metabolomics | pt_PT |
dc.subject | Chemometric tools | pt_PT |
dc.subject | . | pt_PT |
dc.subject | Faculdade de Ciências Exatas e da Engenharia | pt_PT |
dc.subject | Centro de Química da Madeira | |
dc.title | Untargeted urinary 1H NMR-based metabolomic pattern as a potential platform in breast cancer detection | pt_PT |
dc.type | journal article | |
dspace.entity.type | Publication | |
oaire.awardTitle | Madeira Chemistry Research Centre | |
oaire.awardTitle | EXPLORING THE VOLATOME OF NONCOMMUNICABLE DISEASES AS A PROMISING, INNOVATIVE AND INTEGRATING APPROACH FOR THEIR RAPID DIAGNOSTICS. THE CASE STUDY OF CANCER AND NEURODEGENERATIVE DISEASES | |
oaire.awardTitle | Non-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.awardTitle | From 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.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FQUI%2F00674%2F2019/PT | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/3599-PPCDT/Inn-INDIGO%2F0001%2F2015/PT | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/OE/SFRH%2FBD%2F97039%2F2013/PT | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT//SFRH%2FBPD%2F97387%2F2013/PT | |
oaire.citation.issue | 11 | pt_PT |
oaire.citation.startPage | 269 | pt_PT |
oaire.citation.title | Metabolites | pt_PT |
oaire.citation.volume | 9 | pt_PT |
oaire.fundingStream | 6817 - DCRRNI ID | |
oaire.fundingStream | 3599-PPCDT | |
oaire.fundingStream | OE | |
person.familyName | Sousa Luís | |
person.familyName | Dias Olival | |
person.familyName | Perestrelo | |
person.familyName | Silva | |
person.familyName | Tomás | |
person.familyName | Câmara | |
person.givenName | Catarina Grace | |
person.givenName | Ana Cristina | |
person.givenName | Rosa | |
person.givenName | Pedro | |
person.givenName | Helena | |
person.givenName | José | |
person.identifier | C-1300-2019 | |
person.identifier | 1441319 | |
person.identifier | 556975 | |
person.identifier | G-3003-2013 | |
person.identifier.ciencia-id | 9813-3B88-BA8D | |
person.identifier.ciencia-id | 6610-5EA1-D660 | |
person.identifier.ciencia-id | 251A-D5F7-9E32 | |
person.identifier.ciencia-id | 4D14-D31E-A8BE | |
person.identifier.ciencia-id | 481C-08CE-90E5 | |
person.identifier.orcid | 0000-0002-3018-3165 | |
person.identifier.orcid | 0000-0001-5461-5420 | |
person.identifier.orcid | 0000-0002-7223-1022 | |
person.identifier.orcid | 0000-0001-7932-1015 | |
person.identifier.orcid | 0000-0002-7856-2041 | |
person.identifier.orcid | 0000-0003-1965-3151 | |
person.identifier.rid | B-9995-2019 | |
person.identifier.rid | I-2307-2014 | |
person.identifier.rid | E-5991-2010 | |
person.identifier.scopus-author-id | 57194492726 | |
person.identifier.scopus-author-id | 16686828800 | |
person.identifier.scopus-author-id | 6508104177 | |
person.identifier.scopus-author-id | 10140393000 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
rcaap.rights | openAccess | pt_PT |
rcaap.type | article | pt_PT |
relation.isAuthorOfPublication | 2853e6b6-0fb5-454c-aedb-05528b76c484 | |
relation.isAuthorOfPublication | 7a7f997e-61d9-4d66-8500-3f769cd211e4 | |
relation.isAuthorOfPublication | 003ff241-47d2-497b-b9ac-c0d1713f8bf3 | |
relation.isAuthorOfPublication | e73a3a19-2c48-42d7-a50d-84abf7502224 | |
relation.isAuthorOfPublication | 3a747114-6ab9-454b-985b-00cbf792e273 | |
relation.isAuthorOfPublication | e10d78be-e547-4d25-92b5-06a997ed78da | |
relation.isAuthorOfPublication.latestForDiscovery | e10d78be-e547-4d25-92b5-06a997ed78da | |
relation.isProjectOfPublication | 0e558baa-fee7-4f1c-b713-f79ed1581567 | |
relation.isProjectOfPublication | 31fd4a52-8b42-4c58-95a2-b4644fe10d9f | |
relation.isProjectOfPublication | d0c3ad04-c707-4bfa-a380-e5e3758028c2 | |
relation.isProjectOfPublication | 921502e4-f54c-42d2-8d38-34b8eac8affc | |
relation.isProjectOfPublication.latestForDiscovery | 921502e4-f54c-42d2-8d38-34b8eac8affc |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- Untargeted urinary 1H NMR-based metabolomic pattern as a potential platform in breast cancer detection.pdf
- Size:
- 3.82 MB
- Format:
- Adobe Portable Document Format