Summary of Study ST002787

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 PR001737. The data can be accessed directly via it's Project DOI: 10.21228/M85X48 This work is supported by NIH grant, U2C- DK119886.

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

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 IDST002787
Study TitleMetabolomic analysis of gut metabolites in colorectal cancer patients: correlation with disease development and outcome
Study SummaryIn this study, targeted metabolomic sequencing was performed on fecal samples from 35 colorectal cancer (CRC) patients, 37 colorectal adenoma patients (CRA), and 30 healthy controls (HC) to identify metabolite biomarkers. Orthogonal partial least squares discriminant analysis (OPLS-DA) was used to identify metabolomic features distinguishing the three groups. ROC analysis found that 9,10-diHOME, cholesterol CE (18:2), and lipoxinA4 distinguished CRC from HC with an AUC of 0.969. The study highlights the advantages and potential applications of using LC-MS for targeted metabolomic analysis.
Institute
Wuhan University of Science and Technology
DepartmentSchool of Medicine
LaboratoryHubei Province Key Laboratory of Occupational Hazard Identification and Control
Last NameXie
First NameZhufu
AddressNo.2 Huangjiahu Road, Hongshan District, Wuhan City, Hubei Province, China
Emailxiezhufu2020@outlook.com
Phone18171407470
Submit Date2023-05-07
Raw Data AvailableYes
Raw Data File Type(s)mzML
Analysis Type DetailLC-MS
Release Date2024-07-01
Release Version1
Zhufu Xie Zhufu Xie
https://dx.doi.org/10.21228/M85X48
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Treatment:

Treatment ID:TR002903
Treatment Summary:we conducted targeted metabolomic sequencing on fecal samples from 35 CRC patients, 37 colorectal adenoma patients (CRA), and 30 healthy controls (HC) to identify metabolite biomarkers.
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