Targeted serum metabolite profiling and sequential metabolite ratio analysis for colorectal cancer progression monitoring.

摘要: Colorectal cancer (CRC) is one of the most prevalent cancers worldwide and a major cause human morbidity mortality. In addition to early detection, close monitoring disease progression in CRC can be critical for patient prognosis treatment decisions. Efforts have been made develop new methods improved detection monitoring; however, research focused on surveillance response recurrence using metabolomics has yet reported. this proof concept study, we applied targeted liquid chromatography tandem mass spectrometry (LC-MS/MS) metabolic profiling approach sequential metabolite ratio analysis serial serum samples monitor from 20 patients. The use reduces variability. A partial least squares-discriminant (PLS-DA) model panel five metabolites (succinate, N2, N2-dimethylguanosine, adenine, citraconic acid, 1-methylguanosine) was established, excellent performance (sensitivity = 0.83, specificity = 0.94, area under receiver operator characteristic curve (AUROC) = 0.91 obtained, which superior traditional marker carcinoembryonic antigen (sensitivity = 0.75, specificity = 0.76, AUROC = 0.80). Monte Carlo cross validation applied, robustness our clearly observed by separation true classification models random permutation models. Our results suggest potential utility monitoring.