Analysis of the Lipid Profile in Patients with Colorectal Cancer in Advanced Stages

Abstract

Backgrounds: Colorectal (CRC) is one of the main cause of cancer worldwide. The search for noninvasive markers<br />for diagnosis and monitoring as the use of analytical technologies such as mass spectrometry (MS), which allowed the<br />search for lipid metabolites as candidates for probable biomarkers are needed. Objective and Methods: The objective<br />was to establish the lipid profile of patients with locally advanced, unresectable or metastatic CRC. Peripheral blood<br />was collected from patients with CRC and controls with normal colonoscopy. After lipid extraction, the samples were<br />processed and analyzed in the MALDI TOF / TOF equipment. From the data matrix, the statistical analyzes were<br />performed by the principal component analysis methods and the least squares discriminant analysis. The importance of<br />the variable in the projection was used to identify the ions that had the greatest discriminatory effect between the groups.<br />Results: Eight lipids were identified as potential biomarkers and a multiple logistic regression model was proposed<br />to calculate the performance of the test where we observed values of AUC 0.87, sensitivity 88.33% and specificity<br />83.78% and for a validation test with 1,000 permutations a p glycerophospholipids and policetidis. The strength of the association between the peak intensities of these lipids and<br />the presence of CRC make these metabolites candidates for possible biomarkers. The sphingolipid (m / z = 742.98869)<br />could be a biomarker in monitoring patients with CRC. In the survival analysis, three lipids showed a prognostic value<br />for colorectal cancer, sphingolipid (m / z = 857.11525) and policetidis (m / z = 876.20796) and glycerophospholipid<br />(m / z = 1031.54773).