Lipidomic differentiation between human kidney tumors and surrounding normal tissues using HILIC-HPLC/ESI-MS and multivariate data analysis
Language English Country Netherlands Media print-electronic
Document type Journal Article, Research Support, Non-U.S. Gov't
PubMed
26207874
DOI
10.1016/j.jchromb.2015.07.011
PII: S1570-0232(15)30080-5
Knihovny.cz E-resources
- Keywords
- Glycerophospholipids, HILIC-HPLC/ESI–MS, Kidney cancer, Lipidomics, Multivariate data analysis,
- MeSH
- Glycerophospholipids MeSH
- Spectrometry, Mass, Electrospray Ionization methods MeSH
- Hydrophobic and Hydrophilic Interactions MeSH
- Kidney chemistry metabolism MeSH
- Humans MeSH
- Lipids analysis MeSH
- Multivariate Analysis MeSH
- Kidney Neoplasms chemistry metabolism MeSH
- Computational Biology MeSH
- Chromatography, High Pressure Liquid methods MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Names of Substances
- Glycerophospholipids MeSH
- Lipids MeSH
The characterization of differences among polar lipid classes in tumors and surrounding normal tissues of 20 kidney cancer patients is performed by hydrophilic interaction liquid chromatography (HILIC) coupled to electrospray ionization mass spectrometry (ESI-MS). The detailed analysis of identified lipid classes using relative abundances of characteristic ions in negative- and positive-ion modes is used for the determination of more than 120 individual lipid species containing attached fatty acyls of different chain length and double bond number. Lipid species are described using relative abundances, providing a better visualization of lipidomic differences between tumor and normal tissues. The multivariate data analysis methods using unsupervised principal component analysis (PCA) and supervised orthogonal partial least square (OPLS) are used for the characterization of statistically significant differences in identified lipid species. Ten most significant up- and down-regulated lipids in OPLS score plots are also displayed by box plots. A notable increase of relative abundances of lipids containing four and more double bonds is detected in tumor compared to normal tissues.
References provided by Crossref.org
Lipidomic profiling of human serum enables detection of pancreatic cancer