The grade of systemic inflammation, immune inhibition, and gut dysbiosis as prognostic factors for bladder cancer recurrence: a metabolomics approach.

BACKGROUND: The risk of recurrence for non-muscle invasive bladder cancer (NMIBC) is high, and the current methods of predicting it rely on clinical and histopathological markers. Personalized risk assessment can be improved by including new prognostic biomarkers. Our research explores the potential of urinary metabolomics to predict cancer recurrence in NMIBC patients within three years. METHODS: Fifty NMIBC patients were included in the study. Urine samples were collected at diagnosis and before TUR-BT. After three years, patients were classified as relapsed or non-relapsed. An NMR-based metabolomics approach was used to measure the concentration of 44 metabolites in the urine of these patients at the time of their diagnosis. This method provides a comprehensive view of many urinary compounds potentially valuable for discriminating relapsing from non-relapsing patients. The measured metabolic profiles were analyzed through multivariate analysis, probability ROC curves, and Mann-Whitney tests. RESULTS: Seven metabolites were involved in NMIBC recurrence prediction. We interpret their alteration as the consequence of three main events: gut dysbiosis, systemic inflammation, and immune inhibition. Since these compounds have already been proposed for BC diagnosis, what distinguishes their role as prognostic or diagnostic is the grade of their alteration. Limitations: small sample size; further research to confirm urinary compounds' correlation with physiological processes. CONCLUSIONS: This study exploits urinary metabolic profiles to predict NMIBC recurrence. Specific metabolites are found to be significantly related to cancer relapse. The study highlights the grade of inflammation, immune suppression, and gut dysbiosis in predicting cancer recurrence.

Metabolic Reprogramming of Castration-Resistant Prostate Cancer Cells as a Response to Chemotherapy.

Prostate cancer at the castration-resistant stage (CRPC) is a leading cause of death among men due to resistance to anticancer treatments, including chemotherapy. We set up an in vitro model of therapy-induced cancer repopulation and acquired cell resistance (CRAC) on etoposide-treated CRPC PC3 cells, witnessing therapy-induced epithelial-to-mesenchymal-transition (EMT) and chemoresistance among repopulating cells. Here, we explore the metabolic changes leading to chemo-induced CRAC, measuring the exchange rates cell/culture medium of 36 metabolites via Nuclear Magnetic Resonance spectroscopy. We studied the evolution of PC3 metabolism throughout recovery from etoposide, encompassing the degenerative, quiescent, and repopulating phases. We found that glycolysis is immediately shut off by etoposide, gradually recovering together with induction of EMT and repopulation. Instead, OXPHOS, already high in untreated PC3, is boosted by etoposide to decline afterward, though stably maintaining values higher than control. Notably, high levels of EMT, crucial in the acquisition of chemoresistance, coincide with a strong acceleration of metabolism, especially in the exchange of principal nutrients and their end products. These results provide novel information on the energy metabolism of cancer cells repopulating from cytotoxic drug treatment, paving the way for uncovering metabolic vulnerabilities to be possibly pharmacologically targeted and providing novel clinical options for CRPC.

Urinary Metabolic Markers of Bladder Cancer: A Reflection of the Tumor or the Response of the Body?

This work will review the metabolic information that various studies have obtained in recent years on bladder cancer, with particular attention to discovering biomarkers in urine for the diagnosis and prognosis of this disease. In principle, they would be capable of complementing cystoscopy, an invasive but nowadays irreplaceable technique or, in the best case, of replacing it. We will evaluate the degree of reproducibility that the different experiments have shown in the indication of biomarkers, and a synthesis will be attempted to obtain a consensus list that is more likely to become a guideline for clinical practice. In further analysis, we will inquire into the origin of these dysregulated metabolites in patients with bladder cancer. For this purpose, it will be helpful to compare the imbalances measured in urine with those known inside tumor cells or tissues. Although the urine analysis is sometimes considered a liquid biopsy because of its direct contact with the tumor in the bladder wall, it contains metabolites from all organs and tissues of the body, and the tumor is separated from urine by the most impermeable barrier found in mammals. The distinction between the specific and systemic responses can help understand the disease and its consequences in more depth.

Personalized Metabolic Profile by Synergic Use of NMR and HRMS.

A new strategy that takes advantage of the synergism between NMR and UHPLC-HRMS yields accurate concentrations of a high number of compounds in biofluids to delineate a personalized metabolic profile (SYNHMET). Metabolite identification and quantification by this method result in a higher accuracy compared to the use of the two techniques separately, even in urine, one of the most challenging biofluids to characterize due to its complexity and variability. We quantified a total of 165 metabolites in the urine of healthy subjects, patients with chronic cystitis, and patients with bladder cancer, with a minimum number of missing values. This result was achieved without the use of analytical standards and calibration curves. A patient's personalized profile can be mapped out from the final dataset's concentrations by comparing them with known normal ranges. This detailed picture has potential applications in clinical practice to monitor a patient's health status and disease progression.

The Interplay between Oxidative Phosphorylation and Glycolysis as a Potential Marker of Bladder Cancer Progression.

Urothelial bladder cancer (UBC) is the most common tumor of the urinary system. One of the biggest problems related to this disease is the lack of markers that can anticipate the progression of the cancer. Genomics and transcriptomics have greatly improved the prediction of risk of recurrence and progression. Further progress can be expected including information from other omics sciences such as metabolomics. In this study, we used 1H-NMR to characterize the intake of nutrients and the excretion of products in the extracellular medium of three UBC cell lines, which are representatives of low-grade tumors, RT4, high-grade, 5637, and a cell line that shares genotypic features with both, RT112. We have observed that RT4 cells show an activated oxidative phosphorylation, 5637 cells depend mostly on glycolysis to grow, while RT112 cells show a mixed metabolic state. Our results reveal the relative importance of glycolysis and oxidative phosphorylation in the growth and maintenance of different UBC cell lines, and the relationship with their genomic signatures. They suggest that cell lines associated with a low risk of progression present an activated oxidative metabolic state, while those associated with a high risk present a non-oxidative state and high glycolytic activity.