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    Metabolites. 2021 Feb 19. pii: metabo11020119. doi: 10.3390/metabo11020119
    Untargeted Metabolomics Reveals Major Differences in the Plasma Metabolome between Colorectal Cancer and Colorectal Adenomas.
    Gumpenberger T1,  Brezina S2,  Keski-Rahkonen P3,  Baierl A4,  Robinot N5,  Leeb G6,  Habermann N7,  Kok DEG8,  Scalbert A9,  Ueland PM10,  Ulrich CM11,  Gsur A12
    Author information
    1Institute of Cancer Research, Department of Medicine I, Medical University of Vienna, 1090 Vienna, Austria.
    2Institute of Cancer Research, Department of Medicine I, Medical University of Vienna, 1090 Vienna, Austria.
    3International Agency for Research on Cancer, 69372 Lyon, France.
    4Department of Statistics and Operations Research, University of Vienna, 1090 Vienna, Austria.
    5International Agency for Research on Cancer, 69372 Lyon, France.
    6Department of Internal Medicine, Hospital Oberpullendorf, 7350 Oberpullendorf, Austria.
    7Division of Preventive Oncology, National Center for Tumor Diseases (NCT) and German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
    8Division of Human Nutrition and Health, Wageningen University & Research, 6708 Wageningen, The Netherlands.
    9International Agency for Research on Cancer, 69372 Lyon, France.
    10BEVITAL, A/S, 5021 Bergen, Norway.
    11Population Sciences, Huntsman Cancer Institute, Salt Lake City, UT 84112, USA.
    12Institute of Cancer Research, Department of Medicine I, Medical University of Vienna, 1090 Vienna, Austria.
    Abstract

    Sporadic colorectal cancer is characterized by a multistep progression from normal epithelium to precancerous low-risk and high-risk adenomas to invasive cancer. Yet, the underlying molecular mechanisms of colorectal carcinogenesis are not completely understood. Within the "Metabolomic profiles throughout the continuum of colorectal cancer" (MetaboCCC) consortium we analyzed data generated by untargeted, mass spectrometry-based metabolomics using plasma from 88 colorectal cancer patients, 200 patients with high-risk adenomas and 200 patients with low-risk adenomas recruited within the "Colorectal Cancer Study of Austria" (CORSA). Univariate logistic regression models comparing colorectal cancer to adenomas resulted in 442 statistically significant molecular features. Metabolites discriminating colorectal cancer patients from those with adenomas in our dataset included acylcarnitines, caffeine, amino acids, glycerophospholipids, fatty acids, bilirubin, bile acids and bacterial metabolites of tryptophan. The data obtained discovers metabolite profiles reflecting metabolic differences between colorectal cancer and colorectal adenomas and delineates a potentially underlying biological interpretation.


    KEYWORDS: adenoma, colorectal cancer, metabolite profiling, untargeted metabolomics

    Publikations ID: 33669644
    Quelle: öffnen
     
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