ABSTRACT
INTRODUCTION: Urinary tract endometriosis (UTE), a rare manifestation, encompasses bladder and ureteral involvement. Surgical intervention is commonly recommended for UTE, though the optimal surgical approach remains a subject of debate. This study aims to report our centre's experience with UTE. METHODS: We conducted a retrospective cohort study of 55 patients who underwent surgical treatment for UTE at a single tertiary centre over a 10-year period (2012-2022). Patient data, including demographics, symptoms, intraoperative findings, and complications, were collected from medical records. Data were statistically analysed, and correlations were explored. RESULTS: The study population had a mean age of 37.11 years, with dysmenorrhea (89.1%) being the most common symptom. Bladder endometriosis was present in 27 cases, ureteral endometriosis in 25, and mixed-location in 3. Laparoscopy was the primary surgical approach, with multidisciplinary teams involving urologists. There were six patients with postoperative complications, and there were six (10.9%) recurrences of endometriosis. A positive correlation was found between age and recurrence, but no significant predictors of recurrence were identified in our analysis. CONCLUSIONS: Laparoscopic treatment of urinary endometriosis is safe and effective. Multidisciplinary collaboration plays a pivotal role in addressing this challenging condition.
ABSTRACT
Prostate cancer (PCa) continues to be the second most common malignant tumour and the main cause of oncological death in men. Investigating endogenous volatile organic metabolites (VOMs) produced by various metabolic pathways is emerging as a novel, effective, and non-invasive source of information to establish the volatilomic biosignature of PCa. In this study, headspace solid-phase microextraction combined with gas chromatography-mass spectrometry (HS-SPME/GC-MS) was used to establish the urine volatilomic profile of PCa and identify VOMs that can discriminate between the two investigated groups. This non-invasive approach was applied to oncological patients (PCa group, n = 26) and cancer-free individuals (control group, n = 30), retrieving a total of 147 VOMs from various chemical families. This included terpenes, norisoprenoid, sesquiterpenes, phenolic, sulphur and furanic compounds, ketones, alcohols, esters, aldehydes, carboxylic acid, benzene and naphthalene derivatives, hydrocarbons, and heterocyclic hydrocarbons. The data matrix was subjected to multivariate analysis, namely partial least-squares discriminant analysis (PLS-DA). Accordingly, this analysis showed that the group under study presented different volatomic profiles and suggested potential PCa biomarkers. Nevertheless, a larger cohort of samples is required to boost the predictability and accuracy of the statistical models developed.
