AI tool to predict treatment response in bladder cancer
Official title: Predicting Outcomes in Intermediate and High-risk Non-muscle Invasive Bladder Cancer Using Automated Analysis of Digital Pathology Data
Run by University of Texas Southwestern Medical Center · NCT05825950 · Data updated 2026-11-12
This study is testing a new AI tool that helps doctors predict how well bladder cancer patients will respond to certain treatments, so they can make better choices for those at risk of their cancer coming back.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years to 99 Years |
| Sex | All |
| Enrollment | 600 (estimated) |
| Sponsor | University of Texas Southwestern Medical Center Academic / other |
| Drugs / interventions | chemotherapy |
| Locations | 2 sites (Dallas, Texas and 1 other locations) |
| Status | Recruiting |
| Started | January 25, 2024 |
| Main results expected | September 2026 |
| Study ends | September 2026 |
| Registry record updated | August 24, 2026 |
| Trial ID | NCT05825950 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are adults aged 18 and older diagnosed with intermediate or high-risk non-muscle invasive bladder cancer.
✕Probably not a fit
Patients with inadequate tissue samples or those with muscle-invasive bladder cancer will not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This multi-center observational study aims to develop and validate an AI-based histologic analysis tool that predicts responsiveness to intravesical Bacillus Calmette-Guérin (BCG) and chemotherapy in patients with intermediate and high-risk non-muscle invasive bladder cancer (NMIBC). The analysis will utilize histologic specimens obtained from patients prior to BCG induction and at recurrence after treatment. The tool is intended to assist clinicians in counseling patients and identifying those who may benefit from specific treatments or alternative strategies. This study addresses a critical gap in the management of NMIBC, particularly for patients who are at intermediate or high risk of recurrence.
Why it matters
Potential benefit: If successful, this tool could significantly improve treatment personalization and outcomes for patients with NMIBC.
How similar studies have gone: Other studies have shown promise in using AI for predictive analytics in cancer treatment, suggesting potential success for this approach.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Diagnosis of intermediate or high-risk non-muscle invasive bladder cancer as defined by AUA/SUO criteria (Intermediate-risk: recurrence within 1 year low grade Ta, solitary low grade Ta \>3 cm, multifocal low grade Ta, high grade Ta ≤3 cm, low grade T1; High risk: high grade T1, recurrent high grade Ta, high grade Ta \>3 cm, multifocal high grade Ta, any CIS, any BCG failure in high grade disease, any variant histology, any lymphovascular invasion) following pathologic evaluation of tissue specimens from TURBT. * Intravesical therapy within 6 months from enrollment including patients treated with BCG, mitomycin C, or Gemcitabine/Docetaxel. * English or Spanish speakers * ≥ 18 years of age * Ability to understand and the willingness to provide an informed consent Exclusion Criteria: * Inadequate tissue from TURBT * ≥ T2 bladder cancer * Systemic therapy * Inability to read or write English or Spanish * Unwilling to sign written informed consent
Where it's running
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University of Texas Southwestern Medical Center
Dallas, Texas, United States Recruiting -
University of Texas Health Science Center at San Antonio
San Antonio, Texas, United States Recruiting
Study contacts
- Principal investigator: Yair Lotan, MD — University of Texas Southwestern Medical Center
- Study coordinator: Jacob Taylor, MD
- Email: Jacob.Taylor@UTSouthwestern.edu
- Phone: 214-645-8791
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
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NMIBC sample collection to test cancer monitoring biomarkers
This study tests a blood, urine, and tumor tissue collection approach in people with high-risk non-muscle invasive bladder cancer to see if a molecular test can detect residual disease and monitor recurrence.
-
Sequential Gemcitabine Plus Docetaxel vs Gemcitabine Plus Mitomycin C for BCG-Unresponsive NMIBC
This study tests whether adding docetaxel after gemcitabine is better or worse than adding mitomycin C after gemcitabine for people with BCG-unresponsive high-grade non-muscle-invasive bladder cancer.
-
Is ongoing systemic immunotherapy needed after achieving tumor-free status in very-high-risk NMIBC?
This study tests whether patients who have become tumor-free after a systemic immunotherapy-based bladder-sparing treatment can safely stop therapy and instead be watched closely.
-
Comparing CT and MRI with VI-RADS for Bladder Cancer Staging
This study tests how well CT and MRI with VI-RADS can correctly stage bladder cancer before surgery in adults.
-
How bladder microbes and immune signals affect lower urinary tract health
This project will test whether differences in bladder microbes and immune signals are linked to urinary tract health in adults with and without various urinary conditions.
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Cretostimogene for BCG‑unresponsive high‑grade non‑muscle‑invasive bladder cancer
This treatment will test cretostimogene plus n‑dodecyl‑β‑D‑maltoside in adults whose high‑grade non‑muscle‑invasive bladder cancer did not respond to BCG (carcinoma in situ with or without Ta/T1 tumors).
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.