GC-MS-based endometabolome analysis differentiates prostate cancer from normal prostate cells
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10284/8088 |
Resumo: | Prostate cancer (PCa) is an important health problem worldwide. Diagnosis and management of PCa is very complex because the detection of serum prostate specific antigen (PSA) has several drawbacks. Metabolomics brings promise for cancer biomarker discovery and for better understanding PCa biochemistry. In this study, a gas chromatography-mass spectrometry (GC-MS) based metabolomic profiling of PCa cell lines was performed. The cell lines include 22RV1 and LNCaP from PCa with androgen receptor (AR) expression, DU145 and PC3 (which lack AR expression), and one normal prostate cell line (PNT2). Regarding the metastatic potential, PC3 is from an adenocarcinoma grade IV with high metastatic potential, DU145 has a moderate metastatic potential, and LNCaP has a low metastatic potential. Using multivariate analysis, alterations in levels of several intracellular metabolites were detected, disclosing the capability of the endometabolome to discriminate all PCa cell lines from the normal prostate cell line. Discriminant metabolites included amino acids, fatty acids, steroids, and sugars. Six stood out for the separation of all the studied PCa cell lines from the normal prostate cell line: ethanolamine, lactic acid, β-Alanine, L-valine, L-leucine, and L-tyrosine. |
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GC-MS-based endometabolome analysis differentiates prostate cancer from normal prostate cellsProstate cancerCancer metabolomicsCell linesMetabolomicsEndometabolomeGC-MSProstate cancer (PCa) is an important health problem worldwide. Diagnosis and management of PCa is very complex because the detection of serum prostate specific antigen (PSA) has several drawbacks. Metabolomics brings promise for cancer biomarker discovery and for better understanding PCa biochemistry. In this study, a gas chromatography-mass spectrometry (GC-MS) based metabolomic profiling of PCa cell lines was performed. The cell lines include 22RV1 and LNCaP from PCa with androgen receptor (AR) expression, DU145 and PC3 (which lack AR expression), and one normal prostate cell line (PNT2). Regarding the metastatic potential, PC3 is from an adenocarcinoma grade IV with high metastatic potential, DU145 has a moderate metastatic potential, and LNCaP has a low metastatic potential. Using multivariate analysis, alterations in levels of several intracellular metabolites were detected, disclosing the capability of the endometabolome to discriminate all PCa cell lines from the normal prostate cell line. Discriminant metabolites included amino acids, fatty acids, steroids, and sugars. Six stood out for the separation of all the studied PCa cell lines from the normal prostate cell line: ethanolamine, lactic acid, β-Alanine, L-valine, L-leucine, and L-tyrosine.MDPIRepositório Institucional da Universidade Fernando PessoaLima, AnaAraújo, AnaPinto, JoanaJerónimo, CarmenHenrique, RuiBastos, MariaCarvalho, MárciaGuedes de Pinho, Paula2019-10-01T12:29:39Z2018-03-01T00:00:00Z2018-03-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10284/8088eng2218-198910.3390/metabo8010023info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-09-06T02:07:28Zoai:bdigital.ufp.pt:10284/8088Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T15:44:58.952233Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
GC-MS-based endometabolome analysis differentiates prostate cancer from normal prostate cells |
title |
GC-MS-based endometabolome analysis differentiates prostate cancer from normal prostate cells |
spellingShingle |
GC-MS-based endometabolome analysis differentiates prostate cancer from normal prostate cells Lima, Ana Prostate cancer Cancer metabolomics Cell lines Metabolomics Endometabolome GC-MS |
title_short |
GC-MS-based endometabolome analysis differentiates prostate cancer from normal prostate cells |
title_full |
GC-MS-based endometabolome analysis differentiates prostate cancer from normal prostate cells |
title_fullStr |
GC-MS-based endometabolome analysis differentiates prostate cancer from normal prostate cells |
title_full_unstemmed |
GC-MS-based endometabolome analysis differentiates prostate cancer from normal prostate cells |
title_sort |
GC-MS-based endometabolome analysis differentiates prostate cancer from normal prostate cells |
author |
Lima, Ana |
author_facet |
Lima, Ana Araújo, Ana Pinto, Joana Jerónimo, Carmen Henrique, Rui Bastos, Maria Carvalho, Márcia Guedes de Pinho, Paula |
author_role |
author |
author2 |
Araújo, Ana Pinto, Joana Jerónimo, Carmen Henrique, Rui Bastos, Maria Carvalho, Márcia Guedes de Pinho, Paula |
author2_role |
author author author author author author author |
dc.contributor.none.fl_str_mv |
Repositório Institucional da Universidade Fernando Pessoa |
dc.contributor.author.fl_str_mv |
Lima, Ana Araújo, Ana Pinto, Joana Jerónimo, Carmen Henrique, Rui Bastos, Maria Carvalho, Márcia Guedes de Pinho, Paula |
dc.subject.por.fl_str_mv |
Prostate cancer Cancer metabolomics Cell lines Metabolomics Endometabolome GC-MS |
topic |
Prostate cancer Cancer metabolomics Cell lines Metabolomics Endometabolome GC-MS |
description |
Prostate cancer (PCa) is an important health problem worldwide. Diagnosis and management of PCa is very complex because the detection of serum prostate specific antigen (PSA) has several drawbacks. Metabolomics brings promise for cancer biomarker discovery and for better understanding PCa biochemistry. In this study, a gas chromatography-mass spectrometry (GC-MS) based metabolomic profiling of PCa cell lines was performed. The cell lines include 22RV1 and LNCaP from PCa with androgen receptor (AR) expression, DU145 and PC3 (which lack AR expression), and one normal prostate cell line (PNT2). Regarding the metastatic potential, PC3 is from an adenocarcinoma grade IV with high metastatic potential, DU145 has a moderate metastatic potential, and LNCaP has a low metastatic potential. Using multivariate analysis, alterations in levels of several intracellular metabolites were detected, disclosing the capability of the endometabolome to discriminate all PCa cell lines from the normal prostate cell line. Discriminant metabolites included amino acids, fatty acids, steroids, and sugars. Six stood out for the separation of all the studied PCa cell lines from the normal prostate cell line: ethanolamine, lactic acid, β-Alanine, L-valine, L-leucine, and L-tyrosine. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-03-01T00:00:00Z 2018-03-01T00:00:00Z 2019-10-01T12:29:39Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10284/8088 |
url |
http://hdl.handle.net/10284/8088 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2218-1989 10.3390/metabo8010023 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
MDPI |
publisher.none.fl_str_mv |
MDPI |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799130315859427328 |