Summary of Study ST001924

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench,, where it has been assigned Project ID PR001214. The data can be accessed directly via it's Project DOI: 10.21228/M8SH7V This work is supported by NIH grant, U2C- DK119886.


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 IDST001924
Study TitleUrine-Based Metabolomics and Machine Learning Reveals Metabolites Associated with Renal Cell Carcinoma Progression NMR (part-I)
Study SummaryEvery year, hundreds of thousands of cases of renal carcinoma (RCC) are reported worldwide. Accurate staging of the disease is important for treatment and prognosis purposes; however, contemporary methods such as computerized tomography (CT) and biopsies are expensive and prone to sampling errors, respectively. As such, a non-invasive diagnostic assay for staging would be beneficial. This study aims to investigate urine metabolites as potential biomarkers to stage RCC. In the study, we identified a panel of such urine metabolites with machine learning techniques.
University of Georgia
DepartmentBiochemistry and Molecular Biology
LaboratoryEdison Lab/Fernandez Lab
Last NameBifarin
First NameOlatomiwa
Address315 Riverbend Rd, Athens, GA 30602
Phone(706) 542-4401 Lab: 1045
Submit Date2021-08-16
Raw Data AvailableYes
Raw Data File Type(s)fid
Analysis Type DetailNMR
Release Date2021-10-18
Release Version1
Olatomiwa Bifarin Olatomiwa Bifarin application/zip

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Treatment ID:TR002014
Treatment Summary:There were no treatments in the study, urine samples of renal cell carcinoma patients were collected.