Chiroptical spectroscopy and metabolomics for blood-based sensing of pancreatic cancer
Jazyk angličtina Země Spojené státy americké Médium print-electronic
Typ dokumentu časopisecké články, práce podpořená grantem
PubMed
29473211
DOI
10.1002/chir.22834
Knihovny.cz E-zdroje
- Klíčová slova
- Raman spectroscopy, blood plasma, chiroptical spectroscopy, metabolomics, pancreatic cancer, spectral biomarker,
- MeSH
- cirkulární dichroismus metody MeSH
- diskriminační analýza MeSH
- karnitin analogy a deriváty krev MeSH
- lidé středního věku MeSH
- lidé MeSH
- lysofosfatidylcholiny krev MeSH
- metabolomika metody MeSH
- nádorové biomarkery krev MeSH
- nádory slinivky břišní krev MeSH
- pilotní projekty MeSH
- Ramanova spektroskopie metody MeSH
- senioři MeSH
- spektroskopie infračervená s Fourierovou transformací metody MeSH
- studie případů a kontrol MeSH
- Check Tag
- lidé středního věku MeSH
- lidé MeSH
- senioři MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Názvy látek
- decanoylcarnitine MeSH Prohlížeč
- karnitin MeSH
- lysofosfatidylcholiny MeSH
- nádorové biomarkery 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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