NCT06153849

Analyzing the Urine During BCG Instillation in Bladder Cancer Patients for Disease Followup

Analyzing the Urine Microbiome and Chromosomal Instability by Whole Genome Sequening in Bladder Cancer Patients During BCG Instillation for Disease Follow-up

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 100 (estimated)
• Sponsor: Changhai Hospital · Academic / Other
• Sex: All
• Age: 18 Years – 99 Years
• Healthy volunteers: Not accepted

Summary

Bacillus Calmette-Guerin (BCG) has been extensively utilized in intravesical instillation therapy for patients with medium to high risk non-muscle invasive bladder cancer (NMIBC) following transurethral resection of bladder tumor (TURBT). Nevertheless, the efficacy of BCG instillation can fluctuate between patients, with 40.5% experiencing disease recurrence during BCG therapy. The effectiveness of BCG instillation may be linked to the urinary microbiome and immune microenvironment. Additionally, small residual lesions post-TURBT could also result in bladder cancer recurrence. Low coverage whole genome sequencing (LC-WGS) can be used to detect the urinary microbiome and chromosomal instability (CIN), making it feasible to predict the recurrence or progression of bladder cancer during BCG instillation therapy. Here, we intend to evaluate the feasibility of detecting urine samples of bladder cancer patients receiving BCG instillation to predict the bladder cancer recurrence.

Detailed description

NMIBC at medium to high risk showcases a recurrence rate of 40.5% post-TURBT, thus necessitating frequent monitoring and bladder instillation. Among patients with medium to high-risk NMIBC, the preferred treatment is BCG. The high recurrence rate of this illness is associated with BCG's effectiveness and residual cancer, yet the full understanding of BCG installation's mechanism complicates the prediction of its efficacy among individuals with bladder cancer. Previously, it was believed that the urinary system was sterile; however, recent high-throughput sequencing and enhanced quantitative urine culture have confirmed the presence of resident bacteria in the urine of healthy individuals. Microorganisms within the bladder have the potential to alter the immune microenvironment, consequently impacting the efficacy of BCG instillation. CIN denotes continuous errors in chromosome separation during cell division, encompassing numerical and structural instability. Loss of the Y chromosome (LOY) represents a specific type of CIN associated with cancer prognosis. CIN serves as a hallmark of malignancies and can be employed to indicate the presence of minimal residual disease (MRD) subsequent to TURBT. Analyzing LOY can better elucidate the disease's progression, and more exploration is necessary to comprehend the significance of detecting CIN for predicting tumor recurrence. LC-WGS is a cost-effective, efficient, and robust technique that can be used to analyze both microorganism and human genomes in urine samples. The microbiome is commonly detected using 16S ribosomal sequencing. Compared to 16S sequencing, LC-WGS provides advantages such as enhanced detection of bacterial species, diversity, and improved gene prediction. In the context of CIN and LOY detection, LC-WGS technology offers heightened sensitivity, low cost, and high throughput compared to traditional methods such as comparative genomic hybridization or fluorescence in situ hybridization. In this prospective, single-arm observational clinical trial, the investigators aim to evaluate LOY, CIN, and the urinary microbiome detected by LC-WGS for the assessment of BCG instillation efficacy and NMIBC follow-up.

Conditions

• Bladder Cancer

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	urine sample collection	Urine samples from patients receiving BCG instillation was collected for LC-WGS to evaluate CIN and urinary microbiome.

Timeline

• Start date: 2023-12-01
• Primary completion: 2024-12-01
• Completion: 2025-05-01
• First posted: 2023-12-01
• Last updated: 2023-12-01

Locations

1 site across 1 country: China