Metabolomic profiling of human bladder tissue extracts using NMR and LDI‑MS for biomarker discovery

January 2024

Authors: MD, FEBU Anna Ossolińska, MD, PhD, FEBU Tadeusz Ossolinski, MD, PhD, FEBU Krzysztof Ossoliński, Tomasz Ruman 2, Valérie Copié 3, Brian P Tripet 3, Artur Kołodziej 2, Aneta Płaza-Altamer 2, Zuzanna Krupa 4, Joanna Nizioł 5

Abstract

Introduction: Bladder cancer is a common malignancy of the urinary tract for which reliable biomarkers are not yet established.
Objectives: The major goal of this work was to perform metabolomic profiling of human bladder cancer and adjacent normal tissue to identify biomarker candidates.
Methods: Tissue samples from 99 bladder cancer patients were analyzed using two complementary techniques: ¹H NMR spectroscopy and nanoparticle-enhanced LDI-MS.
Results: Six tissue metabolites identified via NMR and thirty-four compounds detected via LDI-MS distinguished cancerous from adjacent normal tissue. Thirteen metabolites correlated with tumor grade, and thirteen correlated with tumor stage. ROC curve analysis showed high predictive potential (AUC > 0.853).
Conclusion: This is the first study to analyze human bladder adjacent normal tissues using both NMR and MS approaches. The findings indicate potential tissue biomarkers for detection and monitoring of bladder cancer stages and grades.

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Metabolomic profiling of human bladder tissue extracts – PubMed