| Literature DB >> 33669644 |
Tanja Gumpenberger1, Stefanie Brezina1, Pekka Keski-Rahkonen2, Andreas Baierl3, Nivonirina Robinot2, Gernot Leeb4, Nina Habermann5,6, Dieuwertje E G Kok7, Augustin Scalbert2, Per-Magne Ueland8, Cornelia M Ulrich9,10, Andrea Gsur1.
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.Entities:
Keywords: adenoma; colorectal cancer; metabolite profiling; untargeted metabolomics
Year: 2021 PMID: 33669644 DOI: 10.3390/metabo11020119
Source DB: PubMed Journal: Metabolites ISSN: 2218-1989