Renal cell carcinoma: a critical analysis of metabolomic biomarkers emerging from current model systems

Detalhes bibliográficos
Autor(a) principal: Rodrigues, Daniela
Data de Publicação: 2017
Outros Autores: Monteiro, Márcia, Jerónimo, Carmen, Henrique, Rui, Belo, Luís, Bastos, Maria de Lourdes, Guedes de Pinho, Paula, Carvalho, Márcia
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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spelling 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
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rights_invalid_str_mv metadata only access
eu_rights_str_mv openAccess
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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)
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