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Chiroptical spectroscopy and metabolomics for blood-based sensing of pancreatic cancer

L Habartova, B Bunganic, M Tatarkovic, M Zavoral, J Vondrousova, K Syslova, V Setnicka

. 2018 ; 30 (5) : 581-591.

Language English Country United States

Persistent link   https://www.medvik.cz/link/bmc22008136

Grant support
NV16-31028A MZ0 CEP Register

To enable the early diagnosis of pancreatic cancer, the search for and definition of reliable biomarkers remain a subject of great interest, with the specificity and sensitivity of the currently used biomarkers being below the required values. We tested a novel diagnostic approach for pancreatic cancer based on the specific molecular signature of blood plasma components. To acquire more detailed structural information, structure-sensitive chiroptical methods (electronic circular dichroism and Raman optical activity) were supplemented by conventional Raman and infrared spectroscopies. The obtained spectra were subsequently processed by linear discriminant analysis yielding high values of specificity and sensitivity. In addition, to monitor not only large biomolecules as potential biomarkers but also those of low molecular weight, we conducted an analysis of blood plasma samples by using metabolomics. The achieved results suggest a panel of promising biomarkers for a reliable detection of pancreatic cancer. Copyright © 2018 Wiley Periodicals, Inc.

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$a To enable the early diagnosis of pancreatic cancer, the search for and definition of reliable biomarkers remain a subject of great interest, with the specificity and sensitivity of the currently used biomarkers being below the required values. We tested a novel diagnostic approach for pancreatic cancer based on the specific molecular signature of blood plasma components. To acquire more detailed structural information, structure-sensitive chiroptical methods (electronic circular dichroism and Raman optical activity) were supplemented by conventional Raman and infrared spectroscopies. The obtained spectra were subsequently processed by linear discriminant analysis yielding high values of specificity and sensitivity. In addition, to monitor not only large biomolecules as potential biomarkers but also those of low molecular weight, we conducted an analysis of blood plasma samples by using metabolomics. The achieved results suggest a panel of promising biomarkers for a reliable detection of pancreatic cancer.<ovid:br/><ovid:br/> Copyright &#xa9; 2018 Wiley Periodicals, Inc.
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$a Bunganič, Bohuš $7 xx0200314 $u Department of Internal Medicine, First Faculty of Medicine, Military University Hospital, Charles University, Prague 6, Czech Republic
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$a Tatarkovič, Michal $7 xx0213747 $u Department of Analytical Chemistry, University of Chemistry and Technology Prague, Prague 6, Czech Republic
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$a Zavoral, Miroslav, $d 1953- $7 xx0036686 $u Department of Internal Medicine, First Faculty of Medicine, Military University Hospital, Charles University, Prague 6, Czech Republic
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$a Vondroušová, Jana $7 xx0234915 $u Department of Organic Technology, University of Chemistry and Technology Prague, Prague 6, Czech Republic
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