Data fusion in metabolomic cancer diagnostics

Rasmus Bro; Hans Jørgen Nielsen; Francesco Savorani; Karin Kjeldahl; Ib Jarle Christensen; Nils Brünner; Anders Juul Lawaetz

doi:10.1007/s11306-012-0446-0

Data fusion in metabolomic cancer diagnostics

Rasmus Bro, Hans Jørgen Nielsen, Francesco Savorani, Karin Kjeldahl, Ib Jarle Christensen, Nils Brünner, Anders Juul Lawaetz

37 Citations (Scopus)

Abstract

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 ¹H 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.

Original language	English
Journal	Metabolomics
Volume	9
Issue number	1
Pages (from-to)	3-8
Number of pages	6
ISSN	1573-3882
DOIs	https://doi.org/10.1007/s11306-012-0446-0
Publication status	Published - Feb 2013

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Data fusion in metabolomic cancer diagnosticsFinal published version, 214 KB

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AU - Bro, Rasmus

AU - Nielsen, Hans Jørgen

AU - Savorani, Francesco

AU - Kjeldahl, Karin

AU - Christensen, Ib Jarle

AU - Brünner, Nils

AU - Lawaetz, Anders Juul

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AB - 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 1H 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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DO - 10.1007/s11306-012-0446-0

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JO - Metabolomics

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Data fusion in metabolomic cancer diagnostics

Abstract

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