Unknown

Dataset Information

Untargeted metabolomic profiling of serum and urine in kidney cancer: a non-invasive approach for biomarker discovery.


ABSTRACT:

Introduction

Kidney cancer (KC) is a significant global health burden. Early diagnosis remains challenging due to the limited sensitivity and specificity of existing biomarkers. Metabolomics enables the detection of disease-specific metabolic alterations, offering potential for improved non-invasive biomarker discovery.

Objectives

This study aims to characterize metabolic signatures distinguishing KC patients from non-cancer controls and evaluate the diagnostic potential of annotated metabolites in serum and urine.

Methods

An untargeted metabolomic analysis was performed on serum and urine samples from 56 KC patients and 200 controls using ultra-high-resolution mass spectrometry coupled with ultra-high-performance liquid chromatography (UHPLC-UHRMS in both positive an

SUBMITTER: Ossolinska A 

PROVIDER: S-EPMC12213972 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature