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Determination of lipidomic differences between human breast cancer and surrounding normal tissues using HILIC-HPLC/ESI-MS and multivariate data analysis
Authors: Cífková Eva | Holčapek Michal | Lísa Miroslav | Vrána David | Gatěk Jiří | Melichar Bohuslav
Year: 2015
Type of publication: článek v odborném periodiku
Name of source: Analytical and Bioanalytical Chemistry
Publisher name: Springer
Page from-to: 991-1002
Titles:
Language Name Abstract Keywords
cze Charakterizace lipidomických rozdílů v nádoru prsu a okolní tkáně pomocí HILIC-HPLC/ESI-MS a vícerozměrné statistické analýzy Charakterizace rozdílů lipidů v nádorové tkáni prsu a okolní zdravé tkáně byla určena pomocí HILIC-HPLC/ESI-MS metody, jejíž výsledky byly zpracovány pomocí vícerozměrné statistické analýzy - analýzou hlavních komponent PCA and metodou nejmenších čtverců (OPLS). Metoda popisuje významné zvýšení koncentrace u fosfatidylinositolů (PI), fosfatidylethanolaminů (PE), fosfatidylcholinů (PC), sfingomyelinů (SM) a lysofosfatidylcholinů (LPC) u nádorové tkáně popsané pro 10 pacientů. Dále popisuje významné snížení etherů a vinyletherů fosfatidylethanolaminů pro nádorové tkáně, zatímco u fosfatidylcholinů nebyla pozorována významná změna. nádor prsu;lipidy;HPLC/MS;vícerozměrná statistická analýza
eng Determination of lipidomic differences between human breast cancer and surrounding normal tissues using HILIC-HPLC/ESI-MS and multivariate data analysis The comprehensive approach for the lipidomic characterization of human breast cancer and surrounding normal tissues is based on hydrophilic interaction liquid chromatography (HILIC) – electrospray ionization mass spectrometry (MS) quantitation of polar lipid classes of total lipid extracts followed by multivariate data analysis using unsupervised principal component analysis (PCA) and supervised orthogonal partial least square projections to latent structures (OPLS). This analytical methodology is applied for the detailed lipidomic characterization of ten patients with the goal to find the statistically relevant differences between tumor and normal tissues. This strategy is selected for better visualization of differences, because the breast cancer tissue is compared with the surrounding healthy tissue of the same patient, therefore changes in the lipidome are caused predominantly by the tumor growth. A large increase of total concentrations for several lipid classes is observed, including phosphatidylinositols, phosphatidylethanolamines, phosphatidylcholines and lysophosphatidylcholines. Concentrations of individual lipid species inside above mentioned classes are also changed and in some cases these differences are statistically significant. PCA and OPLS analyses enable a clear differentiation of tumor and normal tissues based on changes of their lipidome. A notable decrease of relative abundances of ether and vinylether (plasmalogen) lipid species is detected for phosphatidylethanolamines, but no difference is apparent for phosphatidylcholines. breast cancer;lipids;HPLC/MS;multivariate statistical analysis

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