Discrimination between the human prostate normal and cancer cell exometabolome by GC-MS

Lima, Ana Rita; Araújo, Ana Margarida; Pinto, Joana; Jerónimo, Carmen; Henrique, Rui; Bastos, Maria de Lourdes; Carvalho, Márcia; Guedes de Pinho, Paula

Publication

Discrimination between the human prostate normal and cancer cell exometabolome by GC-MS

2018-04Journal article

dc.contributor.author	Lima, Ana Rita
dc.contributor.author	Araújo, Ana Margarida
dc.contributor.author	Pinto, Joana
dc.contributor.author	Jerónimo, Carmen
dc.contributor.author	Henrique, Rui
dc.contributor.author	Bastos, Maria de Lourdes
dc.contributor.author	Carvalho, Márcia
dc.contributor.author	Guedes de Pinho, Paula
dc.date.accessioned	2019-09-30T07:58:09Z
dc.date.available	2019-09-30T07:58:09Z
dc.date.issued	2018-04
dc.description.abstract	Serum prostate-specific antigen (PSA) is currently the most used biomarker in clinical practice for prostate cancer (PCa) detection. However, this biomarker has several drawbacks. In this work, an untargeted gas chromatography-mass spectrometry (GC-MS)-based metabolomic profiling of PCa cells was performed to prove the concept that metabolic alterations might differentiate PCa cell lines from normal prostate cell line. For that, we assessed the differences in volatile organic compounds (VOCs) profile in the extracellular medium (exometabolome) of four PCa cell lines and one normal prostate cell line at two pH values (pH 2 and 7) by GC-MS. Multivariate analysis revealed a panel of volatile metabolites that discriminated cancerous from normal prostate cells. The most altered metabolites included ketones, aldehydes and organic acids. Among these, we highlight pentadecane-2-one and decanoic acid, which were significantly increased in PCa compared to normal cells, and cyclohexanone, 4-methylheptan-2-one, 2-methylpentane-1,3-diol, 4-methylbenzaldehyde, 1-(3,5-dimethylfuran-2-yl)ethanone, methyl benzoate and nonanoic acid, which were significantly decreased in PCa cells. The PCa volatilome was markedly influenced by the VOCs extraction pH, though the discriminant capability was similar. Overall, our data suggest that VOCs monitoring has the potential to be used as a PCa screening methodology.	pt_PT
dc.description.version	info:eu-repo/semantics/publishedVersion	pt_PT
dc.identifier.doi	10.1038/s41598-018-23847-9	pt_PT
dc.identifier.issn	2045-2322
dc.identifier.uri	http://hdl.handle.net/10284/8081
dc.language.iso	eng	pt_PT
dc.peerreviewed	yes	pt_PT
dc.publisher	Nature Publishing Group	pt_PT
dc.relation	European Union (FEDER funds POCI/01/0145/FEDER/07728)	pt_PT
dc.relation	National funds (FCT/MEC, Fundação para a Ciência e a Tecnologia and Ministério da Educação e Ciência) under the Partnership Agreement PT2020 UID/MULTI/04378/2013	pt_PT
dc.relation.publisherversion	https://www.nature.com/articles/s41598-018-23847-9	pt_PT
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/	pt_PT
dc.title	Discrimination between the human prostate normal and cancer cell exometabolome by GC-MS	pt_PT
dc.type	journal article
dspace.entity.type	Publication
oaire.citation.endPage	12
oaire.citation.issue	1	pt_PT
oaire.citation.startPage	1	pt_PT
oaire.citation.title	Scientific Reports	pt_PT
oaire.citation.volume	8	pt_PT
person.familyName	Carvalho
person.givenName	Marcia
person.identifier	2017111
person.identifier.ciencia-id	8B10-171E-E63E
person.identifier.orcid	0000-0001-9884-4751
person.identifier.rid	D-5999-2013
person.identifier.scopus-author-id	7201413997
rcaap.rights	openAccess	pt_PT
rcaap.type	article	pt_PT
relation.isAuthorOfPublication	3837b828-ba57-47f7-a811-cce65e4922c6
relation.isAuthorOfPublication.latestForDiscovery	3837b828-ba57-47f7-a811-cce65e4922c6