Summary of project PR001737
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
Project ID: | PR001737 |
Project DOI: | doi: 10.21228/M85X48 |
Project Title: | Metabolomic analysis of gut metabolites in colorectal cancer patients: correlation with disease development and outcome |
Project Summary: | In 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 |
Department: | School of Medicine |
Laboratory: | Hubei Province Key Laboratory of Occupational Hazard Identification and Control |
Last Name: | Xie |
First Name: | Zhufu |
Address: | No.2 Huangjiahu Road, Hongshan District, Wuhan City, Hubei Province, China |
Email: | xiezhufu2020@outlook.com |
Phone: | 18171407470 |
Summary of all studies in project PR001737
Study ID | Study Title | Species | Institute | Analysis(* : Contains Untargted data) | Release Date | Version | Samples | Download(* : Contains raw data) |
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ST002787 | Metabolomic analysis of gut metabolites in colorectal cancer patients: correlation with disease development and outcome | Homo sapiens | Wuhan University of Science and Technology | MS | 2024-07-01 | 1 | 102 | Uploaded data (200.4M)* |