Summary of Study ST000284

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 PR000226. The data can be accessed directly via it's Project DOI: 10.21228/M8FG61 This work is supported by NIH grant, U2C- DK119886.

See: https://www.metabolomicsworkbench.org/about/howtocite.php

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Study IDST000284
Study TitleColorectal Cancer Detection Using Targeted Serum Metabolic Profiling
Study SummaryColorectal cancer (CRC) is one of the most prevalent and deadly cancers in the world. Despite an expanding knowledge of its molecular pathogenesis during the past two decades, robust biomarkers to enable screening, surveillance, and therapy monitoring of CRC are still lacking. In this study, we present a targeted liquid chromatography-tandem mass spectrometry-based metabolic profiling approach for identifying biomarker candidates that could enable highly sensitive and specific CRC detection using human serum samples. In this targeted approach, 158 metabolites from 25 metabolic pathways of potential significance were monitored in 234 serum samples from three groups of patients (66 CRC patients, 76 polyp patients, and 92 healthy controls). Partial least squares-discriminant analysis (PLS-DA) models were established, which proved to be powerful for distinguishing CRC patients from both healthy controls and polyp patients. Receiver operating characteristic curves generated based on these PLS-DA models showed high sensitivities (0.96 and 0.89, respectively, for differentiating CRC patients from healthy controls or polyp patients); good specificities (0.80 and 0.88), and excellent areas under the curve (0.93 and 0.95) were also obtained. Monte Carlo cross validation (MCCV) was also applied, demonstrating the robust diagnostic power of this metabolic profiling approach.
Institute
University of Washington
DepartmentAnesthesiology and Pain Medicine
LaboratoryNorthwest Metabolomics Research Center
Last NameGu
First NameHaiwei
Address850 Republican St.
Emailhaiwei@uw.edu
Phone7654919481
Submit Date2015-12-15
Num Groups3
Total Subjects234
Num Males118
Num Females116
PublicationsColorectal Cancer Detection Using Targeted Serum Metabolic Profiling, J. Proteome. Res., 2014, 13, 4120-4130
Raw Data File Type(s)wiff
Analysis Type DetailLC-MS
Release Date2015-12-16
Release Version1
Haiwei Gu Haiwei Gu
https://dx.doi.org/10.21228/M8FG61
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Subject:

Subject ID:SU000304
Subject Type:Human
Subject Species:Homo sapiens
Taxonomy ID:9606
Age Or Age Range:18-88
Gender:Femal(116), Male(118)
Human Smoking Status:67 nonsmokers and 167 smokers
Human Alcohol Drug Use:14 no alcohol and 220 alcohol
Species Group:Human
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