Summary of Study ST002120
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 PR001345. The data can be accessed directly via it's Project DOI: 10.21228/M8VM5R 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.
| Study ID | ST002120 |
| Study Title | Feasibility of detecting AC and SCC using UPLC-HRMS based tissue metabolomics |
| Study Summary | UPLC-HRMS analysis was performed on AC and SCC patients. OPLSDA classfication was performed on tumor vs. ANT&DNT samples. Panels of discriminant features were identified.The biomarkers identified in discovery set samples for each binary classification were confirmed by using a set of validation samples, which were run separately. Additionally, paired analysis shows the abundance of discriminant metabolic features has significant altered in tumor tissues compared to corresponding DNT and ANT samples, indicating metabolic reprogramming during tumorigenesis in AC and SCC. |
| Institute | Ocean University of China |
| Last Name | Zang |
| First Name | Xiaoling |
| Address | No.5 Yushan Road, Qingdao, Shandong, China |
| xlingzang@163.com | |
| Phone | +86 0532 82032064 |
| Submit Date | 2022-02-17 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | raw(Thermo) |
| Analysis Type Detail | LC-MS |
| Release Date | 2022-07-20 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Treatment:
| Treatment ID: | TR002217 |
| Treatment Summary: | No. Only cancer and noncancerous tissues. |
