Data fusion in metabolomic cancer diagnostics

We have recently shown that fluorescence spectroscopy of plasma samples has promising abilities regarding early detection of colorectal cancer. In the present paper, these results were further developed by combining fluorescence with the biomarkers, CEA and TIMP-1 and traditional metabolomic measure...

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Detalles Bibliográficos
Autores principales: Bro, Rasmus, Nielsen, Hans Jørgen, Savorani, Francesco, Kjeldahl, Karin, Christensen, Ib Jarle, Brünner, Nils, Lawaetz, Anders Juul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2012
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3548087/
https://www.ncbi.nlm.nih.gov/pubmed/23335866
http://dx.doi.org/10.1007/s11306-012-0446-0
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author Bro, Rasmus
Nielsen, Hans Jørgen
Savorani, Francesco
Kjeldahl, Karin
Christensen, Ib Jarle
Brünner, Nils
Lawaetz, Anders Juul
author_facet Bro, Rasmus
Nielsen, Hans Jørgen
Savorani, Francesco
Kjeldahl, Karin
Christensen, Ib Jarle
Brünner, Nils
Lawaetz, Anders Juul
author_sort Bro, Rasmus
collection PubMed
description We have recently shown that fluorescence spectroscopy of plasma samples has promising abilities regarding early detection of colorectal cancer. In the present paper, these results were further developed by combining fluorescence with the biomarkers, CEA and TIMP-1 and traditional metabolomic measurements in the form of (1)H NMR spectroscopy. The results indicate that using an extensive profile established by combining such measurements together with the biomarkers is better than using single markers.
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spelling pubmed-35480872013-01-18 Data fusion in metabolomic cancer diagnostics Bro, Rasmus Nielsen, Hans Jørgen Savorani, Francesco Kjeldahl, Karin Christensen, Ib Jarle Brünner, Nils Lawaetz, Anders Juul Metabolomics Original Article We have recently shown that fluorescence spectroscopy of plasma samples has promising abilities regarding early detection of colorectal cancer. In the present paper, these results were further developed by combining fluorescence with the biomarkers, CEA and TIMP-1 and traditional metabolomic measurements in the form of (1)H NMR spectroscopy. The results indicate that using an extensive profile established by combining such measurements together with the biomarkers is better than using single markers. Springer US 2012-07-18 2013 /pmc/articles/PMC3548087/ /pubmed/23335866 http://dx.doi.org/10.1007/s11306-012-0446-0 Text en © The Author(s) 2012 https://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
spellingShingle Original Article
Bro, Rasmus
Nielsen, Hans Jørgen
Savorani, Francesco
Kjeldahl, Karin
Christensen, Ib Jarle
Brünner, Nils
Lawaetz, Anders Juul
Data fusion in metabolomic cancer diagnostics
title Data fusion in metabolomic cancer diagnostics
title_full Data fusion in metabolomic cancer diagnostics
title_fullStr Data fusion in metabolomic cancer diagnostics
title_full_unstemmed Data fusion in metabolomic cancer diagnostics
title_short Data fusion in metabolomic cancer diagnostics
title_sort data fusion in metabolomic cancer diagnostics
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3548087/
https://www.ncbi.nlm.nih.gov/pubmed/23335866
http://dx.doi.org/10.1007/s11306-012-0446-0
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