Summary of Study ST001682
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 PR001081. The data can be accessed directly via it's Project DOI: 10.21228/M8ZT4C 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 | ST001682 |
| Study Title | Untargeted urine LC-HRMS metabolomics profiling for bladder cancer binary outcome classification |
| Study Summary | Two samples cohorts were analysed for bladder cancer biomarkers selection. Untargeted urine RP UPLC-HRMS metabolomics profiling was utilized in SCAN MS mode and positive polarity. Dilute and shoot technique was employed for sample preparation. |
| Institute | Lomonosov MSU |
| Department | Chemistry |
| Laboratory | Mass spectrometry |
| Last Name | Plyushchenko |
| First Name | Ivan |
| Address | Leninskie gory, 1/3 |
| plyush1993@bk.ru | |
| Phone | +79160362200 |
| Submit Date | 2020-10-20 |
| Num Groups | 2 |
| Total Subjects | 124 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | cdf |
| Analysis Type Detail | LC-MS |
| Release Date | 2021-02-22 |
| Release Version | 1 |
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Treatment:
| Treatment ID: | TR001772 |
| Treatment Summary: | Creatinine level, age, sex and clinical diagnosis were collected for study samples as meta-data. The study included urine samples from patients with bladder cancer (TG) and healthy controls (CG) matched with the TG group for age and sex. |
