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Urine-Based Metabolomics and Machine Learning Reveals Metabolites Associated with Renal Cell Carcinoma Progression

ABSTRACT: Every 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.

ORGANISM(S): Human Homo Sapiens

TISSUE(S): Urine

DISEASE(S): Cancer

SUBMITTER: Olatomiwa Bifarin

PROVIDER: ST001923 | MetabolomicsWorkbench | Mon Aug 16 00:00:00 BST 2021

REPOSITORIES: MetabolomicsWorkbench

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