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Untargeted Metabolomics Reveals Major Differences in the Plasma Metabolome between Colorectal Cancer and Colorectal Adenomas.
Gumpenberger, Tanja; Brezina, Stefanie; Keski-Rahkonen, Pekka; Baierl, Andreas; Robinot, Nivonirina; Leeb, Gernot; Habermann, Nina; Kok, Dieuwertje E G; Scalbert, Augustin; Ueland, Per-Magne; Ulrich, Cornelia M; Gsur, Andrea.
Affiliation
  • Gumpenberger T; Institute of Cancer Research, Department of Medicine I, Medical University of Vienna, 1090 Vienna, Austria.
  • Brezina S; Institute of Cancer Research, Department of Medicine I, Medical University of Vienna, 1090 Vienna, Austria.
  • Keski-Rahkonen P; International Agency for Research on Cancer, 69372 Lyon, France.
  • Baierl A; Department of Statistics and Operations Research, University of Vienna, 1090 Vienna, Austria.
  • Robinot N; International Agency for Research on Cancer, 69372 Lyon, France.
  • Leeb G; Department of Internal Medicine, Hospital Oberpullendorf, 7350 Oberpullendorf, Austria.
  • Habermann N; Division of Preventive Oncology, National Center for Tumor Diseases (NCT) and German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
  • Kok DEG; Genome Biology, European Molecular Biology Laboratory (EMBL), 69117 Heidelberg, Germany.
  • Scalbert A; Division of Human Nutrition and Health, Wageningen University & Research, 6708 Wageningen, The Netherlands.
  • Ueland PM; International Agency for Research on Cancer, 69372 Lyon, France.
  • Ulrich CM; BEVITAL, A/S, 5021 Bergen, Norway.
  • Gsur A; Population Sciences, Huntsman Cancer Institute, Salt Lake City, UT 84112, USA.
Metabolites ; 11(2)2021 Feb 19.
Article in En | MEDLINE | ID: mdl-33669644
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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Metabolites Year: 2021 Document type: Article Affiliation country: Austria

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Metabolites Year: 2021 Document type: Article Affiliation country: Austria