Uluslararası Proteomik Kongresi // 7. Ulusal Proteomik Kongresi, İstanbul, Türkiye, 18 - 19 Eylül 2025, ss.38, (Özet Bildiri)
Aim: Bladder cancer is one
of the most common malignancies of the urinary tract, and there is a need for
non-invasive and reliable biomarkers to support early diagnosis and patient
management. The aim of this study was to quantitatively evaluate the serum
levels of trimethylamine-N-oxide (TMAO), choline, carnitine, and betaine
metabolites that have been increasingly recognized in the literature as
potential biomarkers using LC-MS/MS in bladder cancer patients compared with
healthy individuals. By assessing the diagnostic performance of these
metabolites, the study seeks to provide novel insights into their potential use
as non-invasive diagnostic tools.
Methods: Serum samples
were collected from 52 healthy controls and 47 bladder cancer patients,
including 22 Ta and 25 T1 cases. Quantitative analysis of TMAO, choline,
carnitine, and betaine was performed using a validated LC-MS/MS method.
Descriptive statistics were generated, and comparative analyses between groups
were conducted using the Mann–Whitney U test. In addition, Spearman’s rank
correlation analysis was applied to investigate the associations between
metabolite levels and clinical parameters such as age and body weight.
Results: The correlation
analysis revealed that TMAO displayed the strongest positive association with
tumor stage, followed by carnitine and choline, while no significant association
was observed for betaine. Neither age nor body weight had a significant
influence on metabolite levels. Group comparisons indicated that all
metabolites, except betaine, showed significant differences between patients
and controls, suggesting their potential role in distinguishing bladder cancer
cases from healthy individuals.
Conclusion: Our findings
suggest that TMAO, carnitine, and choline may serve as promising serum
biomarkers for the non-invasive detection of bladder cancer, while betaine
demonstrated limited diagnostic utility. These results provide supportive
evidence that serum metabolite profiling using LC-MS/MS could contribute to the
development of more reliable diagnostic strategies and may ultimately improve
early detection and clinical decision-making in bladder cancer.