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Updated: Feb 4, 2026

Culture of Bladder Cancer Organoids as Precision Medicine Tools
Published on: December 28, 2021
Targeted metabolomics in bladder cancer: From analytical methods development and validation towards application to
Arlette Yumba Mpanga1, Danuta Siluk1, Julia Jacyna1
1Department of Biopharmaceutics and Pharmacodynamics, Medical University of Gdańsk, Al. Gen. J. Hallera 107, 80-416 Gdańsk, Poland.
This study developed a precise method to measure urine metabolites, identifying ten key compounds that significantly differ between bladder cancer patients and healthy individuals for improved diagnostics.
Area of Science:
- Analytical Chemistry
- Clinical Chemistry
- Oncology
Background:
- Bladder cancer is a major global health concern with high mortality.
- Previous research identified 17 differentiating urine metabolites.
- Need for a validated method to quantify these specific metabolites.
Purpose of the Study:
- Develop and validate a quantitative analytical method for 17 urine metabolites.
- Utilize reversed-phase high-performance liquid chromatography-triple quadrupole mass spectrometry (RP-HPLC-QQQ/MS).
- Establish method sensitivity, selectivity, and reproducibility for bladder cancer diagnostics.
Main Methods:
- Optimized chromatographic conditions and sample preparation.
- Validated method using Food and Drug Administration (FDA) guidelines.
- Applied the method to urine samples from 40 bladder cancer patients and 40 healthy volunteers.
Main Results:
- Achieved low limit of quantification (LOQ) values (0.69–35.02 ng/ml).
- Developed method demonstrated good recovery and precision within FDA guidelines.
- Ten of the 17 metabolites showed statistically significant concentration differences (p < 0.05) in bladder cancer patients.
Conclusions:
- The developed RP-HPLC-QQQ/MS method is sensitive, selective, and reproducible.
- Quantification of specific urine metabolites can aid in bladder cancer detection.
- Identified key metabolites involved in pathways like gut flora metabolism and purine metabolism.
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