Summary of project PR000226
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
| Project ID: | PR000226 |
| Project DOI: | doi: 10.21228/M8FG61 |
| Project Title: | Colorectal Cancer Detection Using Targeted Serum Metabolic Profiling |
| Project Summary: | Colorectal 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 |
| Department: | Anesthesiology and Pain Medicine |
| Laboratory: | Northwest Metabolomics Research Center |
| Last Name: | Gu |
| First Name: | Haiwei |
| Address: | 850 Republican St. |
| Email: | haiwei@uw.edu |
| Phone: | 7654919481 |
| Funding Source: | AMRMC grant W81XWH-10-1- 0540, The China Scholarship Council is also gratefully acknowledged (Grant to L.D.). |
| Publications: | Colorectal Cancer Detection Using Targeted Serum Metabolic Profiling, J. Proteome. Res., 2014, 13, 4120-4130 |
Summary of all studies in project PR000226
| Study ID | Study Title | Species | Institute | Analysis(* : Contains Untargted data) | Release Date | Version | Samples | Download(* : Contains raw data) |
|---|---|---|---|---|---|---|---|---|
| ST000284 | Colorectal Cancer Detection Using Targeted Serum Metabolic Profiling | Homo sapiens | University of Washington | MS | 2015-12-16 | 1 | 224 | Uploaded data (434K) |
