Renal cell carcinoma: a critical analysis of metabolomic biomarkers emerging from current model systems
Autor(a) principal: | |
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Data de Publicação: | 2017 |
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/10284/10037 |
Resumo: | Metabolomics, an emerging field of "omics" sciences, has caught wide scientific attention in the area of biomarker research for cancers in which early diagnostic biomarkers have the potential to greatly improve patient outcome, such as renal cell carcinoma (RCC). Metabolomic approaches have been successfully applied to various human RCC model systems, mostly ex vivo neoplastic renal tissues and biofluids (urine and serum) from patients with RCC. Importantly, in contrast to other cancers, only a few studies have addressed the RCC metabolome using cancer cell culture-based in vitro models. Herein, we first carried out a comprehensive review of current metabolomic data in RCC, with emphasis on metabolite disturbances and dysregulated metabolic pathways identified in each of these experimental models. We then critically analyzed the consistency of evidence in this field and whether metabolites found altered in tumor cell and tissue microenvironment are reflected in biofluids, which constitute the rationale underlying the translation of discovered metabolic biomarkers into noninvasive diagnostic tools. Finally, dominant metabolic pathways and promising metabolites as biomarkers for diagnosis and prognosis of RCC are outlined. |
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Renal cell carcinoma: a critical analysis of metabolomic biomarkers emerging from current model systemsBiomarkersCarcinomaHumansKidney neoplasmsTranslational medical researchMetabolomeModelsTumorRenal cellBiologicalMetabolomics, an emerging field of "omics" sciences, has caught wide scientific attention in the area of biomarker research for cancers in which early diagnostic biomarkers have the potential to greatly improve patient outcome, such as renal cell carcinoma (RCC). Metabolomic approaches have been successfully applied to various human RCC model systems, mostly ex vivo neoplastic renal tissues and biofluids (urine and serum) from patients with RCC. Importantly, in contrast to other cancers, only a few studies have addressed the RCC metabolome using cancer cell culture-based in vitro models. Herein, we first carried out a comprehensive review of current metabolomic data in RCC, with emphasis on metabolite disturbances and dysregulated metabolic pathways identified in each of these experimental models. We then critically analyzed the consistency of evidence in this field and whether metabolites found altered in tumor cell and tissue microenvironment are reflected in biofluids, which constitute the rationale underlying the translation of discovered metabolic biomarkers into noninvasive diagnostic tools. Finally, dominant metabolic pathways and promising metabolites as biomarkers for diagnosis and prognosis of RCC are outlined.ElsevierRepositório Institucional da Universidade Fernando PessoaRodrigues, DanielaMonteiro, MárciaJerónimo, CarmenHenrique, RuiBelo, LuísBastos, Maria de LourdesGuedes de Pinho, PaulaCarvalho, Márcia2021-07-02T15:45:58Z2017-01-01T00:00:00Z2017-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10284/10037eng1931-524410.1016/j.trsl.2016.07.0181878-1810metadata only accessinfo: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:RCAAP2022-09-06T02:09:19Zoai:bdigital.ufp.pt:10284/10037Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T15:46:48.732148Repositório 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 |
Renal cell carcinoma: a critical analysis of metabolomic biomarkers emerging from current model systems |
title |
Renal cell carcinoma: a critical analysis of metabolomic biomarkers emerging from current model systems |
spellingShingle |
Renal cell carcinoma: a critical analysis of metabolomic biomarkers emerging from current model systems Rodrigues, Daniela Biomarkers Carcinoma Humans Kidney neoplasms Translational medical research Metabolome Models Tumor Renal cell Biological |
title_short |
Renal cell carcinoma: a critical analysis of metabolomic biomarkers emerging from current model systems |
title_full |
Renal cell carcinoma: a critical analysis of metabolomic biomarkers emerging from current model systems |
title_fullStr |
Renal cell carcinoma: a critical analysis of metabolomic biomarkers emerging from current model systems |
title_full_unstemmed |
Renal cell carcinoma: a critical analysis of metabolomic biomarkers emerging from current model systems |
title_sort |
Renal cell carcinoma: a critical analysis of metabolomic biomarkers emerging from current model systems |
author |
Rodrigues, Daniela |
author_facet |
Rodrigues, Daniela Monteiro, Márcia Jerónimo, Carmen Henrique, Rui Belo, Luís Bastos, Maria de Lourdes Guedes de Pinho, Paula Carvalho, Márcia |
author_role |
author |
author2 |
Monteiro, Márcia Jerónimo, Carmen Henrique, Rui Belo, Luís Bastos, Maria de Lourdes Guedes de Pinho, Paula Carvalho, Márcia |
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 |
Rodrigues, Daniela Monteiro, Márcia Jerónimo, Carmen Henrique, Rui Belo, Luís Bastos, Maria de Lourdes Guedes de Pinho, Paula Carvalho, Márcia |
dc.subject.por.fl_str_mv |
Biomarkers Carcinoma Humans Kidney neoplasms Translational medical research Metabolome Models Tumor Renal cell Biological |
topic |
Biomarkers Carcinoma Humans Kidney neoplasms Translational medical research Metabolome Models Tumor Renal cell Biological |
description |
Metabolomics, an emerging field of "omics" sciences, has caught wide scientific attention in the area of biomarker research for cancers in which early diagnostic biomarkers have the potential to greatly improve patient outcome, such as renal cell carcinoma (RCC). Metabolomic approaches have been successfully applied to various human RCC model systems, mostly ex vivo neoplastic renal tissues and biofluids (urine and serum) from patients with RCC. Importantly, in contrast to other cancers, only a few studies have addressed the RCC metabolome using cancer cell culture-based in vitro models. Herein, we first carried out a comprehensive review of current metabolomic data in RCC, with emphasis on metabolite disturbances and dysregulated metabolic pathways identified in each of these experimental models. We then critically analyzed the consistency of evidence in this field and whether metabolites found altered in tumor cell and tissue microenvironment are reflected in biofluids, which constitute the rationale underlying the translation of discovered metabolic biomarkers into noninvasive diagnostic tools. Finally, dominant metabolic pathways and promising metabolites as biomarkers for diagnosis and prognosis of RCC are outlined. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-01-01T00:00:00Z 2017-01-01T00:00:00Z 2021-07-02T15:45:58Z |
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/10284/10037 |
url |
http://hdl.handle.net/10284/10037 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1931-5244 10.1016/j.trsl.2016.07.018 1878-1810 |
dc.rights.driver.fl_str_mv |
metadata only access info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
metadata only access |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
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 |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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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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1799130334718066688 |