期刊
ONCOTARGET
卷 8, 期 62, 页码 105819-105831出版社
IMPACT JOURNALS LLC
DOI: 10.18632/oncotarget.22402
关键词
colorectal cancer; metabolomics; H-1 NMR spectroscopy; urine; biomarker
资金
- National Natural Science Foundation of China [81471729, 81101102]
- Science and Technology Planning Project of Guangdong Province [2016A020216025]
- Research Award Fund for Outstanding Young Teachers in Higher Education Institutions, Guangdong Province [YQ2015245]
- National Natural Science Foundation of Guangdong Province [S2011010004973]
Better early detection methods are needed to improve the outcomes of patients with colorectal cancer (CRC). Proton nuclear magnetic resonance spectroscopy (H-1-NMR), a potential non-invasive early tumor detection method, was used to profile urine metabolites from 55 CRC patients and 40 healthy controls (HCs). Pattern recognition through orthogonal partial least squares-discriminant analysis (OPLS-DA) was applied to H-1-NMR processed data. Model specificity was confirmed by comparison with esophageal cancers (EC, n=18). Unique metabolomic profiles distinguished all CRC stages from HC urine samples. A total of 16 potential biomarker metabolites were identified in stage I/II CRC, indicating amino acid metabolism, glycolysis, tricarboxylic acid (TCA) cycle, urea cycle, choline metabolism, and gut microflora metabolism pathway disruptions. Metabolite profiles from early stage CRC and EC patients were also clearly distinguishable, suggesting that upper and lower gastrointestinal cancers have different metabolomic profiles. Our study assessed important metabolomic variations in CRC patient urine samples, provided information complementary to that collected from other biofluid-based metabolomics analyses, and elucidated potential underlying metabolic mechanisms driving CRC. Our results support the utility of NMR-based urinary metabolomics fingerprinting in early diagnosis of CRC.
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