Chiroptical spectroscopy and metabolomics for blood-based sensing of pancreatic cancer
Language English Country United States Media print-electronic
Document type Journal Article, Research Support, Non-U.S. Gov't
PubMed
29473211
DOI
10.1002/chir.22834
Knihovny.cz E-resources
- Keywords
- Raman spectroscopy, blood plasma, chiroptical spectroscopy, metabolomics, pancreatic cancer, spectral biomarker,
- MeSH
- Circular Dichroism methods MeSH
- Discriminant Analysis MeSH
- Carnitine analogs & derivatives blood MeSH
- Middle Aged MeSH
- Humans MeSH
- Lysophosphatidylcholines blood MeSH
- Metabolomics methods MeSH
- Biomarkers, Tumor blood MeSH
- Pancreatic Neoplasms blood MeSH
- Pilot Projects MeSH
- Spectrum Analysis, Raman methods MeSH
- Aged MeSH
- Spectroscopy, Fourier Transform Infrared methods MeSH
- Case-Control Studies MeSH
- Check Tag
- Middle Aged MeSH
- Humans MeSH
- Aged MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Names of Substances
- decanoylcarnitine MeSH Browser
- Carnitine MeSH
- Lysophosphatidylcholines MeSH
- Biomarkers, Tumor MeSH
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.
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