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Multiplatform Urinary Metabolomics Profiling to Discriminate Cachectic from Non-Cachectic Colorectal Cancer Patients: Pilot Results from the ColoCare Study

Authors :
Jennifer Ose
Biljana Gigic
Tengda Lin
David B. Liesenfeld
Jürgen Böhm
Johanna Nattenmüller
Dominique Scherer
Lin Zielske
Petra Schrotz-King
Nina Habermann
Heather M. Ochs-Balcom
Anita R. Peoples
Sheetal Hardikar
Christopher I. Li
David Shibata
Jane Figueiredo
Adetunji T. Toriola
Erin M. Siegel
Stephanie Schmit
Martin Schneider
Alexis Ulrich
Hans-Ulrich Kauczor
Cornelia M. Ulrich
Source :
Metabolites, Vol 9, Iss 9, p 178 (2019)
Publication Year :
2019
Publisher :
MDPI AG, 2019.

Abstract

Cachexia is a multifactorial syndrome that is characterized by loss of skeletal muscle mass in cancer patients. The biological pathways involved remain poorly characterized. Here, we compare urinary metabolic profiles in newly diagnosed colorectal cancer patients (stage I−IV) from the ColoCare Study in Heidelberg, Germany. Patients were classified as cachectic (n = 16), pre-cachectic (n = 13), or non-cachectic (n = 23) based on standard criteria on weight loss over time at two time points. Urine samples were collected pre-surgery, and 6 and 12 months thereafter. Fat and muscle mass area were assessed utilizing computed tomography scans at the time of surgery. N = 152 compounds were detected using untargeted metabolomics with gas chromatography−mass spectrometry and n = 154 features with proton nuclear magnetic resonance spectroscopy. Thirty-four metabolites were overlapping across platforms. We calculated differences across groups and performed discriminant and overrepresentation enrichment analysis. We observed a trend for 32 compounds that were nominally significantly different across groups, although not statistically significant after adjustment for multiple testing. Nineteen compounds could be identified, including acetone, hydroquinone, and glycine. Comparing cachectic to non-cachectic patients, higher levels of metabolites such as acetone (Fold change (FC) = 3.17; p = 0.02) and arginine (FC = 0.33; p = 0.04) were observed. The two top pathways identified were glycerol phosphate shuttle metabolism and glycine and serine metabolism pathways. Larger subsequent studies are needed to replicate and validate these results.

Details

Language :
English
ISSN :
22181989
Volume :
9
Issue :
9
Database :
Directory of Open Access Journals
Journal :
Metabolites
Publication Type :
Academic Journal
Accession number :
edsdoj.49bea54fb5644d7bbbeb3e8607750fa6
Document Type :
article
Full Text :
https://doi.org/10.3390/metabo9090178