Vše

Co hledáte?

Vše
Projekty
Výsledky výzkumu
Subjekty

Rychlé hledání

  • Projekty podpořené TA ČR
  • Významné projekty
  • Projekty s nejvyšší státní podporou
  • Aktuálně běžící projekty

Chytré vyhledávání

  • Takto najdu konkrétní +slovo
  • Takto z výsledků -slovo zcela vynechám
  • “Takto můžu najít celou frázi”

Molecular-spectroscopic analysis of blood plasma of patients with pancreatic cancer

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F16%3A43903273" target="_blank" >RIV/60461373:22340/16:43903273 - isvavai.cz</a>

  • Výsledek na webu

  • DOI - Digital Object Identifier

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Molecular-spectroscopic analysis of blood plasma of patients with pancreatic cancer

  • Popis výsledku v původním jazyce

    Pancreatic cancer (PC) is one of the most aggressive cancer types; and thus, it represents the most common cause of cancer death. The absence of highly specific biomarkers and the low reliability of current diagnostic procedures do not facilitate a proper early-stage diagnosis. Moreover, the disease is often misdiagnosed, because some of the early-stage symptoms appear similar to those of type II diabetes mellitus (DM2). With the onset of cancer, the changes in content and conformation of several biomolecules, including peptides and proteins, may be observed in blood plasma. Hence, we performed the spectroscopic analysis of blood plasma of patients with PC, DM2 and healthy subjects using chiroptical methods. Raman optical activity (ROA) and electronic circular dichroism (ECD), both of which are inherently sensitive to 3D structure of chiral molecules, were supplemented by non-polarized vibrational techniques, specifically Raman and infrared spectroscopy. We were able to distinguish not only healthy from diseased subjects with high level of accuracy, but we have also identified the variations of the spectral response between PC and DM2. According to the achieved results, the combination of chiroptical and vibrational spectroscopies might have a promising potential for the identification of subjects in the early-stage of PC.

  • Název v anglickém jazyce

    Molecular-spectroscopic analysis of blood plasma of patients with pancreatic cancer

  • Popis výsledku anglicky

    Pancreatic cancer (PC) is one of the most aggressive cancer types; and thus, it represents the most common cause of cancer death. The absence of highly specific biomarkers and the low reliability of current diagnostic procedures do not facilitate a proper early-stage diagnosis. Moreover, the disease is often misdiagnosed, because some of the early-stage symptoms appear similar to those of type II diabetes mellitus (DM2). With the onset of cancer, the changes in content and conformation of several biomolecules, including peptides and proteins, may be observed in blood plasma. Hence, we performed the spectroscopic analysis of blood plasma of patients with PC, DM2 and healthy subjects using chiroptical methods. Raman optical activity (ROA) and electronic circular dichroism (ECD), both of which are inherently sensitive to 3D structure of chiral molecules, were supplemented by non-polarized vibrational techniques, specifically Raman and infrared spectroscopy. We were able to distinguish not only healthy from diseased subjects with high level of accuracy, but we have also identified the variations of the spectral response between PC and DM2. According to the achieved results, the combination of chiroptical and vibrational spectroscopies might have a promising potential for the identification of subjects in the early-stage of PC.

Klasifikace

  • Druh

    O - Ostatní výsledky

  • CEP obor

    CB - Analytická chemie, separace

  • OECD FORD obor

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/NV16-31028A" target="_blank" >NV16-31028A: Účinnost nových spektroskopických biomarkerů pro detekci časného stádia karcinomu pankreatu</a><br>

  • Návaznosti

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Ostatní

  • Rok uplatnění

    2016

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů