Urinary metabolomic signature of esophageal cancer and Barrett’s esophagus

摘要: Esophageal adenocarcinoma (EAC) often presents at a late, incurable stage, and mortality has increased substantially, due to an increase in incidence of EAC arising out Barrett’s esophagus. When diagnosed early, however, the combination surgery adjuvant therapies is associated with high cure rates. Metabolomics provides means for non- invasive screening early tumor-associated perturbations cellular metabolism. Urine samples from patients esophageal carcinoma (n = 44), esophagus 31), healthy controls 75) were examined using 1H-NMR spectroscopy. Targeted profiling spectra Chenomx software permitted quantification 66 distinct metabolites. Unsupervised (principal component analysis) supervised (orthogonal partial least-squares discriminant analysis OPLS-DA) multivariate pattern recognition techniques applied discriminate between SIMCA-P+ software. Model specificity was also confirmed through comparison pancreatic cancer cohort 32). Clear distinctions cancer, noted when OPLS-DA applied. validity two established methods internal validation, cross-validation response permutation. Sensitivity models summarized receiver operating characteristic curve revealed excellent predictive power (area under 0.9810 0.9627 esophagus, respectively). The metabolite expression profiles clearly distinguishable area characteristics (AUROC) 0.8954. Urinary metabolomics identified discrete metabolic signatures that distinguished both controls. profile its precursor lesion, cancer-specific nature this cancer. These preliminary results suggest urinary may have future potential role non-invasive these conditions.