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As of 2014, CRC (colorectal cancer) prevalence is the third most common encountered cancer in the United States and the second by the death rate. It is estimated that in 2014, there were 136830 new cases and 50310 deaths from it. In the last decade, urine nontargeted metabonomic reseach is being widely used as an efficient platform to investigate the metabolic changes and discover the potential biomarkers of cancer diseases. In this study, we suggest simple pragmatic approach based on ultra-performance liquid chromatography- mass spectrometry (UPLC-MS). We report here the results of a relatively short study in which ultra-high performance liquid chromatography mass spectrometry and multivariate statistical analysis (sPLS-DA and oPLS-DA) were applied for urinary metabolite profiling and data interpretation. The results of the statistical analysis indicated that the metabolic pattern as a whole was significantly different between the groups of preoperative colorectal cancer (CRC) patients, postoperative CRC patients, and healthy volunteers, respectively. It is especially worth noting that the complete partitioning of data into groups without overlapping was achieved without any urine concentration normalization technique and MS signal drift correction.
№ | Имя | Описание | Имя файла | Размер | Добавлен |
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1. | Презентация | Plyushchenko_MSACL_EU_2017.pdf | 1,0 МБ | 17 апреля 2018 [Plyush1993] |