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Untargeted Metabolomics Reveals Major Differences in the Plasma Metabolome between Colorectal Cancer and Colorectal Adenomas
by
Leeb, Gernot
, Brezina, Stefanie
, Kok, Dieuwertje
, Gumpenberger, Tanja
, Baierl, Andreas
, Habermann, Nina
, Scalbert, Augustin
, Gsur, Andrea
, Ueland, Per-Magne
, Ulrich, Cornelia
, Robinot, Nivonirina
, Keski-Rahkonen, Pekka
in
adenoma
/ colorectal cancer
/ metabolite profiling
/ untargeted metabolomics
2021
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Untargeted Metabolomics Reveals Major Differences in the Plasma Metabolome between Colorectal Cancer and Colorectal Adenomas
by
Leeb, Gernot
, Brezina, Stefanie
, Kok, Dieuwertje
, Gumpenberger, Tanja
, Baierl, Andreas
, Habermann, Nina
, Scalbert, Augustin
, Gsur, Andrea
, Ueland, Per-Magne
, Ulrich, Cornelia
, Robinot, Nivonirina
, Keski-Rahkonen, Pekka
in
adenoma
/ colorectal cancer
/ metabolite profiling
/ untargeted metabolomics
2021
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Do you wish to request the book?
Untargeted Metabolomics Reveals Major Differences in the Plasma Metabolome between Colorectal Cancer and Colorectal Adenomas
by
Leeb, Gernot
, Brezina, Stefanie
, Kok, Dieuwertje
, Gumpenberger, Tanja
, Baierl, Andreas
, Habermann, Nina
, Scalbert, Augustin
, Gsur, Andrea
, Ueland, Per-Magne
, Ulrich, Cornelia
, Robinot, Nivonirina
, Keski-Rahkonen, Pekka
in
adenoma
/ colorectal cancer
/ metabolite profiling
/ untargeted metabolomics
2021
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Untargeted Metabolomics Reveals Major Differences in the Plasma Metabolome between Colorectal Cancer and Colorectal Adenomas
Journal Article
Untargeted Metabolomics Reveals Major Differences in the Plasma Metabolome between Colorectal Cancer and Colorectal Adenomas
2021
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Overview
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.
Publisher
MDPI,MDPI AG
Subject
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