Summary of Study ST002420

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR001558. The data can be accessed directly via it's Project DOI: 10.21228/M89M65 This work is supported by NIH grant, U2C- DK119886.

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This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.

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Study IDST002420
Study TitleColorectal cancer isobaric labeling for metabolite quantification
Study SummaryA major challenge in reducing the death rate of colorectal cancer is to screen patients using low-invasive testing. Blood test shows a high compliance rate with reduced invasiveness. In this work, a multiplex isobaric tag labeling strategy coupled with mass spectrometry is adopted to relatively quantify primary and secondary amine-containing metabolites in serum for the discovery of metabolite biomarkers of colorectal cancer. Serum samples from patients at different risk statuses and colorectal cancer growth statuses are studied. Metabolite identification is based on accurate mass matching and/or retention time of labeled metabolite standards. We quantify 40 metabolites across all the serum samples, including 18 metabolites validated with standards. We find significantly decreased levels of threonine and asparagine in the patients with growing adenomas or high-risk adenomas (p < 0.05). Glutamine levels decrease in patients with adenomas of unknown growth status or high-risk adenomas. In contrast, arginine levels are elevated in patients with low-risk adenoma. Receiver operating characteristic analysis shows high sensitivity and specificity of these metabolites for detecting growing adenomas. Based on these results, we conclude that potential metabolite biomarkers identified here contribute to distinguishing colorectal patients with growing adenomas from normal individuals and patients with unknown growth status of adenomas.
Institute
University of Wisconsin - Madison
Last NameLiu
First NameYuan
Address777 Highland ave, Madison, Wisconsin, 53705, USA
Emailliu788@wisc.edu
Phone6089606939
Submit Date2022-12-28
Raw Data AvailableYes
Raw Data File Type(s)mzML
Analysis Type DetailLC-MS
Release Date2023-03-31
Release Version1
Yuan Liu Yuan Liu
https://dx.doi.org/10.21228/M89M65
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Combined analysis:

Analysis ID AN003941
Analysis type MS
Chromatography type Reversed phase
Chromatography system Waters NanoAcquity
Column Waters ACQUITY UPLC BEH C18 (150 mm x 75 μm, 1.7 μm, 150 Å)
MS Type ESI
MS instrument type Orbitrap
MS instrument name Thermo Q Exactive Orbitrap
Ion Mode POSITIVE
Units 1
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