Univerzita Pardubice Fakulta chemicko- technologická

Univerzita Pardubice

Zaměstnanci
|
Studenti
English

Publikace detail

Lipid Cancer Biomarkers in Early Diagnosis: Where we are now and what are future steps

Autoři: Holčapek Michal | Wolrab Denise | Jirásko Robert | Cífková Eva | Peterka Ondřej | Chocholoušková Michaela | Brabcová Ivana | Vrána David | Melichar Bohuslav | Hrstka Roman

Rok: 2018

Druh publikace: ostatní - přednáška nebo poster

Strana od-do: nestránkováno

Tituly:

Jazyk	Název	Abstrakt	Klíčová slova
eng	Lipid Cancer Biomarkers in Early Diagnosis: Where we are now and what are future steps	The dysregulation of lipid present in eukaryotic cells is related to serious diseases, such as cancer. The robust and high-throughput analytical methods for the lipidomic quantitation are needed for the biomarker discovery research. Mass spectrometry (MS) and its coupling with the liquid-phase separation techniques is dominating in the lipidomic quantitation. In our laboratory, the following three MS based methods are mainly used for the high-throughput clinical lipidomic quantitation: A/ shotgun ESI-MS using Q-LIT mass spectrometer [1], B/ ultrahigh-performance supercritical fluid chromatography – mass spectrometry (UHPSFC/MS) [2], and C/ matrix-assisted laser desorption/ionization (MALDI) - high-resolution Orbitrap [3]. Shotgun MS and UHPSFC/MS techniques are applied for generic screening of glycerophospholipids, sphingolipids, and glycerolipids in positive-ion electrospray ionization (ESI) mode, while negative-ion MALDI provides complementary information on anionic lipids, e.g., sulfatides. All methods are fully validated in line with FDA and EMA recommendations for high-throughput clinical quantitation, such as tumor and surrounding normal tissues [4, 5], body fluids from cancer patients and healthy volunteers. All mentioned methods follow the basic rule of reliable lipidomic quantitation that IS should be coionized with analytes from the same lipid subclass. Our software LipidQuant is used for the semi-automated data processing, and then concentrations of lipids are statistically evaluated using multivariate data analysis (MDA) methods. This methodology has been applied to cancer research and the differentiation of healthy and cancer groups based on the lipidomic analysis of over thousand people. This methodology is the subject-matter of two pending patent applications.	Lipid; Cancer; Biomarkers;