Nuclear magnetic resonance metabolomics reveals an excretory metabolic signature of renal cell carcinoma

Detalhes bibliográficos
Autor(a) principal: Monteiro, Márcia S.
Data de Publicação: 2016
Outros Autores: 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
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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spelling 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
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10.1038/srep37275
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