ArticleEuropean urology2025
Urine Tumor DNA to Stratify the Risk of Recurrence in Patients Treated with Atezolizumab for Bacillus Calmette-Guérin-unresponsive Non-muscle-invasive Bladder Cancer.
Article in European urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- Urine Tumor DNA Testing Identifies Recurrence and Monitors Therapy Response in Patients With High-Risk Nonmuscle-Invasive Bladder Cancer Receiving Intravesical Bacillus Calmette-Guérin.The Journal of urology · 2026Article
- Gemcitabine-Based Bladder Preservation in BCG-Unresponsive High-Risk NMIBC: Evidence, Limitations, and Clinical Positioning.Biomedicines · 2026Review
- Integrating clinically actionable biomarkers into bladder cancer care - recommendations from the International Bladder Cancer Group.Nature reviews. Urology · 2026Review
- Urinary Biomarkers Objectively Measure Minimal Residual Disease in Non-Muscle-Invasive Bladder Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026Article
- ASO Practice Guidelines Series: Surgical Management of Bladder Cancer Relapse.Annals of surgical oncology · 2026Review
- Review
- The changing landscape of urothelial carcinoma: on the edge of a paradigm shift.The Journal of clinical investigation · 2026Review
- Review
- Biomarker-guided selection of intravesical therapy in high-risk non-muscle invasive bladder cancer: A contemporary review.Therapeutic advances in urologyReview
- Can urinary tumor DNA be used to assess the risk of recurrence in patients with non-muscle invasive bladder cancer?Bladder cancer (Amsterdam, Netherlands)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
21 authors.
Funding
Abstract
As new treatments for bacillus Calmette-Guérin (BCG)-unresponsive non-muscle-invasive bladder cancer (NMIBC) emerge, better methods are needed to guide therapeutic decisions. This study analyzed urine tumor DNA (utDNA) from patients treated with atezolizumab in the SWOG S1605 trial to determine whether utDNA profiling can stratify the risk of treatment failure. Urine samples were analyzed using the UroAmp assay at baseline and 3 mo from 89 and 77 patients, respectively. Only 13% of UroAmp-positive patients at baseline achieved a complete response at 6 mo compared with 71% of UroAmp-negative patients (p < 0.001). The 18-mo event-free survival (EFS) was significantly lower for UroAmp-positive patients at baseline (23%) than for UroAmp-negative patients (51%; hazard ratio [HR] 2.8, p < 0.001). Among patients with no clinical evidence of disease at 3 mo (n = 51), the 18-mo EFS was 38% for UroAmp-positive and 86% for UroAmp-negative (HR 3.5, p = 0.01) patients. These findings suggest that utDNA profiling at baseline and after 3 mo of treatment can help identify patients with BCG-unresponsive NMIBC who are less likely to benefit from systemic immunotherapy.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.