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Metabolomic and elemental profiling of human tissue in kidney cancer
Joanna Nizioł1, Valérie Copié2, Brian P Tripet2
1Faculty of Chemistry, Rzeszów University of Technology, 6 Powstańców Warszawy Ave., 35-959, Rzeszów, Poland. jniziol@prz.edu.pl.
Introduction:
Kidney cancer is one of the most frequently diagnosed and the most lethal urinary cancer. Despite advances in treatment, no specific biomarker is currently in use to guide therapeutic interventions.
Objectives:
Major aim of this work was to perform metabolomic and elemental profiling of human kidney cancer and normal tissue and to evaluate cancer biomarkers.
Methods:
Metabolic and elemental profiling of tumor and adjacent normal human kidney tissue from 50 patients with kidney cancer was undertaken using three different analytical methods.
Results:
Five potential tissue biomarkers of kidney cancer were identified and quantified using with high-resolution nuclear magnetic resonance spectroscopy. The contents of selected chemical elements in tissues was analyzed using inductively coupled plasma optical emission spectrometry. Eleven mass spectral features differentiating between kidney cancer and normal tissues were detected using silver-109 nanoparticle enhanced steel target laser desorption/ionization mass spectrometry.
Conclusions:
Our results, derived from the combination of ICP-OES, LDI MS and 1H NMR methods, suggest that tissue biomarkers identified herein appeared to have great potential for use in clinical prognosis and/or diagnosis of kidney cancer.
Insights
Researchers identified novel kidney cancer biomarkers using advanced profiling techniques. These findings show potential for improved clinical diagnosis and prognosis of this lethal urinary cancer.
Area of Science:
- Biochemistry
- Oncology
- Analytical Chemistry
Background:
- Kidney cancer is a leading cause of cancer-related death.
- Current treatments lack specific biomarkers for guiding therapeutic decisions.
Purpose of the Study:
- To conduct metabolomic and elemental profiling of kidney cancer and normal tissues.
- To identify and evaluate potential biomarkers for kidney cancer diagnosis and prognosis.
Main Methods:
- Analyzed tumor and adjacent normal kidney tissue from 50 patients.
- Utilized high-resolution nuclear magnetic resonance (1H NMR) spectroscopy.
- Employed inductively coupled plasma optical emission spectrometry (ICP-OES).
- Used silver-109 nanoparticle-enhanced laser desorption/ionization mass spectrometry (LDI MS).
Main Results:
- Identified five potential tissue biomarkers for kidney cancer using 1H NMR.
- Quantified elemental composition using ICP-OES.
- Detected eleven mass spectral features distinguishing cancer from normal tissue via LDI MS.
Conclusions:
- Combined analytical methods (ICP-OES, LDI MS, 1H NMR) offer powerful insights.
- Identified tissue biomarkers show significant potential for clinical application.
- These biomarkers may aid in the prognosis and diagnosis of kidney cancer.
