| Literature DB >> 32630389 |
Anna Maria A P Fernandes1, Marcia C F Messias1, Gustavo H B Duarte2, Gabrielle K D de Santis1, Giovana C Mecatti1, Andreia M Porcari1, Michael Murgu3, Ana Valéria C Simionato4,5, Thalita Rocha1, Carlos A R Martinez1, Patricia O Carvalho1.
Abstract
In this era of precision medicine, there is an increasingly urgent need for highly sensitive tests for detecting tumors such as colon cancer (CC), a silent disease where the first symptoms may take 10-15 years to appear. Mass spectrometry-based lipidomics is an emerging tool for such clinical diagnosis. We used ultra-performance liquid chromatography coupled to electrospray ionization quadrupole time-of-flight mass spectrometry operating in high energy collision spectral acquisition mode (MSE) mode (UPLC-QTOF-MSE) and gas chromatography (GC) to investigate differences between the plasmatic lipidic composition of CC patients and control (CTR) subjects. Key enzymes in lipidic metabolism were investigated using immuno-based detection assays. Our partial least squares discriminant analysis (PLS-DA) resulted in a suitable discrimination between CTR and CC plasma samples. Forty-two statistically significant discriminating lipids were putatively identified. Ether lipids showed a prominent presence and accordingly, a decrease in glyceronephosphate O-acyltransferase (GNPAT) enzyme activity was found. A receiver operating characteristic (ROC) curve built for three plasmalogens of phosphatidylserine (PS), named PS(P-36:1), PS(P-38:3) and PS(P-40:5), presented an area under the curve (AUC) of 0.998, and sensitivity and specificity of 100 and 85.7% respectively. These results show significant differences in CC patients' plasma lipid composition that may be useful in discriminating them from CTR individuals with a special role for plasmalogens.Entities:
Keywords: biomarkers; colon cancer; lipidomic; mass spectrometry; plasmalogens
Year: 2020 PMID: 32630389 DOI: 10.3390/metabo10060262
Source DB: PubMed Journal: Metabolites ISSN: 2218-1989