View clinical trials related to Ureteral Neoplasms.
Filter by:Background Urothelial carcinoma (UC) is the most common malignancy of the urinary system. Hematuria is a significant clinical manifestation of UC, often diagnosed through invasive procedures. Urine DNA methylation testing is a promising non-invasive method for early UC detection. Objectives To evaluate the sensitivity and specificity of urine DNA methylation testing for detecting UC in patients with hematuria, using standard clinical and pathological diagnoses as the gold standard. We also aim to investigate the association between preoperative urine DNA methylation status and prognosis in UC patients. For non-UC patients: Follow up for one year to assess the risk of UC development based on preoperative urine DNA methylation status. Sample Size Calculation Expected sensitivity: 86% Expected specificity: 90% Significance level (Alpha): 0.05 Total participants needed: 1053 (adjusted for 5% dropout rate, 1109 participants will be recruited). Study Procedure Enrollment and Sample Collection: Screen patients, obtain consent, collect urine samples. Blinding and Testing: Blinded sample processing and DNA methylation testing. Unblinding and Analysis: Statistical analysis of sensitivity and specificity. Reporting: Compilation and consolidation of clinical trial reports. We anticipate that urine DNA methylation testing will show high sensitivity and specificity for UC diagnosis in patients with hematuria, providing valuable non-invasive diagnostic information and improving patient outcomes.
Background: Hematuria, a common symptom of urinary system diseases, can result from various causes including infection, stones, trauma, and tumors. Urothelial carcinoma (UC), the most common malignancy of the urinary system, often presents with hematuria. Current diagnostic methods like urine cytology and cystoscopy have limitations in sensitivity and specificity, and cystoscopy is invasive. DNA methylation biomarkers offer potential for non-invasive UC detection, improving diagnostic accuracy in hematuria patients. Objective: This study aims to evaluate the diagnostic performance of DNA methylation biomarkers in detecting UC in patients with hematuria. Methods: This prospective pilot study will involve collecting preoperative urine samples from hematuria patients for DNA methylation testing using MSRE-qPCR. Sample size calculation was based on an assumed 25% prevalence of UC in hematuria patients, resulting in a total of 71 participants after accounting for a 20% dropout rate. Sensitivity, specificity, and diagnostic performance will be assessed using ROC curves. Conclusion: This study seeks to validate the effectiveness of urine DNA methylation testing for UC detection in hematuria patients, providing a basis for its clinical application and informing the design of larger future studies.