Nuclear magnetic resonance metabolomics reveals an excretory metabolic signature of renal cell carcinoma
Autor(a) principal: | |
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Data de Publicação: | 2016 |
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/10284/10022 |
Resumo: | RCC usually develops and progresses asymptomatically and, when detected, it is frequently at advanced stages and metastatic, entailing a dismal prognosis. Therefore, there is an obvious demand for new strategies enabling an earlier diagnosis. The importance of metabolic rearrangements for carcinogenesis unlocked a new approach for cancer research, catalyzing the increased use of metabolomics. The present study aimed the NMR metabolic profiling of RCC in urine samples from a cohort of RCC patients (n = 42) and controls (n = 49). The methodology entailed variable selection of the spectra in tandem with multivariate analysis and validation procedures. The retrieval of a disease signature was preceded by a systematic evaluation of the impacts of subject age, gender, BMI, and smoking habits. The impact of confounders on the urine metabolomics profile of this population is residual compared to that of RCC. A 32-metabolite/resonance signature descriptive of RCC was unveiled, successfully distinguishing RCC patients from controls in principal component analysis. This work demonstrates the value of a systematic metabolomics workflow for the identification of robust urinary metabolic biomarkers of RCC. Future studies should entail the validation of the 32-metabolite/resonance signature found for RCC in independent cohorts, as well as biological validation of the putative hypotheses advanced. |
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Nuclear magnetic resonance metabolomics reveals an excretory metabolic signature of renal cell carcinomaRCC usually develops and progresses asymptomatically and, when detected, it is frequently at advanced stages and metastatic, entailing a dismal prognosis. Therefore, there is an obvious demand for new strategies enabling an earlier diagnosis. The importance of metabolic rearrangements for carcinogenesis unlocked a new approach for cancer research, catalyzing the increased use of metabolomics. The present study aimed the NMR metabolic profiling of RCC in urine samples from a cohort of RCC patients (n = 42) and controls (n = 49). The methodology entailed variable selection of the spectra in tandem with multivariate analysis and validation procedures. The retrieval of a disease signature was preceded by a systematic evaluation of the impacts of subject age, gender, BMI, and smoking habits. The impact of confounders on the urine metabolomics profile of this population is residual compared to that of RCC. A 32-metabolite/resonance signature descriptive of RCC was unveiled, successfully distinguishing RCC patients from controls in principal component analysis. This work demonstrates the value of a systematic metabolomics workflow for the identification of robust urinary metabolic biomarkers of RCC. Future studies should entail the validation of the 32-metabolite/resonance signature found for RCC in independent cohorts, as well as biological validation of the putative hypotheses advanced.Nature Publishing GroupRepositório Institucional da Universidade Fernando PessoaMonteiro, Márcia S.Barros, António S.Pinto, JoanaCarvalho, MárciaPires-Luís, Ana S.Henrique, RuiJerónimo, CarmenBastos, Maria de LourdesGil, Ana M.Guedes de Pinho, Paula2021-07-02T11:43:33Z2016-01-01T00:00:00Z2016-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10284/10022eng2045-232210.1038/srep37275info: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:10284/10022Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T15:46:47.846913Repositório 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 |
Nuclear magnetic resonance metabolomics reveals an excretory metabolic signature of renal cell carcinoma |
title |
Nuclear magnetic resonance metabolomics reveals an excretory metabolic signature of renal cell carcinoma |
spellingShingle |
Nuclear magnetic resonance metabolomics reveals an excretory metabolic signature of renal cell carcinoma Monteiro, Márcia S. |
title_short |
Nuclear magnetic resonance metabolomics reveals an excretory metabolic signature of renal cell carcinoma |
title_full |
Nuclear magnetic resonance metabolomics reveals an excretory metabolic signature of renal cell carcinoma |
title_fullStr |
Nuclear magnetic resonance metabolomics reveals an excretory metabolic signature of renal cell carcinoma |
title_full_unstemmed |
Nuclear magnetic resonance metabolomics reveals an excretory metabolic signature of renal cell carcinoma |
title_sort |
Nuclear magnetic resonance metabolomics reveals an excretory metabolic signature of renal cell carcinoma |
author |
Monteiro, Márcia S. |
author_facet |
Monteiro, Márcia S. Barros, António S. Pinto, Joana Carvalho, Márcia Pires-Luís, Ana S. Henrique, Rui Jerónimo, Carmen Bastos, Maria de Lourdes Gil, Ana M. Guedes de Pinho, Paula |
author_role |
author |
author2 |
Barros, António S. Pinto, Joana Carvalho, Márcia Pires-Luís, Ana S. Henrique, Rui Jerónimo, Carmen Bastos, Maria de Lourdes Gil, Ana M. Guedes de Pinho, Paula |
author2_role |
author author 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 |
Monteiro, Márcia S. Barros, António S. Pinto, Joana Carvalho, Márcia Pires-Luís, Ana S. Henrique, Rui Jerónimo, Carmen Bastos, Maria de Lourdes Gil, Ana M. Guedes de Pinho, Paula |
description |
RCC usually develops and progresses asymptomatically and, when detected, it is frequently at advanced stages and metastatic, entailing a dismal prognosis. Therefore, there is an obvious demand for new strategies enabling an earlier diagnosis. The importance of metabolic rearrangements for carcinogenesis unlocked a new approach for cancer research, catalyzing the increased use of metabolomics. The present study aimed the NMR metabolic profiling of RCC in urine samples from a cohort of RCC patients (n = 42) and controls (n = 49). The methodology entailed variable selection of the spectra in tandem with multivariate analysis and validation procedures. The retrieval of a disease signature was preceded by a systematic evaluation of the impacts of subject age, gender, BMI, and smoking habits. The impact of confounders on the urine metabolomics profile of this population is residual compared to that of RCC. A 32-metabolite/resonance signature descriptive of RCC was unveiled, successfully distinguishing RCC patients from controls in principal component analysis. This work demonstrates the value of a systematic metabolomics workflow for the identification of robust urinary metabolic biomarkers of RCC. Future studies should entail the validation of the 32-metabolite/resonance signature found for RCC in independent cohorts, as well as biological validation of the putative hypotheses advanced. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-01-01T00:00:00Z 2016-01-01T00:00:00Z 2021-07-02T11:43:33Z |
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/10284/10022 |
url |
http://hdl.handle.net/10284/10022 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2045-2322 10.1038/srep37275 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
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openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Nature Publishing Group |
publisher.none.fl_str_mv |
Nature Publishing Group |
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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) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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