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NEO-BLAST: Neoadjuvant therapy for bladder cancer followed by active surveillance vs treatment.

2025· article· en· W4407699408 on OpenAlexafffund
Marie-Pier St-Laurent, Bernhard J. Eigl, Ren Yuan, Silvia D. Chang, Peter C. Black

Bibliographic record

VenueJournal of Clinical Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsBC Cancer AgencyUniversity of British Columbia
FundersCanadian Institutes of Health Research
KeywordsMedicineBladder cancerOncologyNeoadjuvant therapyCancerUrothelial cancerInternal medicineSurgeryBreast cancer

Abstract

fetched live from OpenAlex

TPS890 Background: Neoadjuvant therapy (NAT) followed by radical cystectomy (RC) is the standard of care for muscle-invasive bladder cancer (MIBC). Approximately 35-40% of patients have no residual cancer at the time of surgery, suggesting that these patients could potentially avoid definitive bladder treatments (DBT), including RC or trimodal therapy (TMT). However, the current clinical tools used to detect residual disease prior to cystectomy are inadequate. The question remains whether patients with complete response (CR) require DBT or if active surveillance (AS) could be a safe alternative. The NEO-BLAST trial investigates whether a combination of bladder MRI, circulating tumor DNA (ctDNA), urinary tumor DNA (utDNA) and transurethral bladder tumor resection (TURBT) can accurately identify MIBC patients with a clinical CR (cCR) following NAT, and whether AS is non-inferior to standard of care (SOC) in those who achieved cCR. Methods: This is a multicenter, phase II/III, non-inferiority open-label clinical trial that will randomize patients with MIBC who achieve cCR after NAT to AS versus SOC DBT, including either RC or trimodal therapy (TMT) (NCT06537154). The primary endpoint is feasibility of randomization for the phase II pilot-RCT, and metastasis-free survival (MFS) at two years for the phase III. Eligible patients will be adults with non-metastatic MIBC (≥T2, N0M0) who are candidates to SOC NAT followed by DBT as per the current practice. After enrolment, ctDNA and utDNA will be collected. Only participants who complete SOC NAT will then undergo a comprehensive clinical restaging process, including repeat ctDNA and utDNA, bladder mpMRI, urine cytology, and TURBT with template biopsies. Participants meeting criteria for cCR, defined as negative ctDNA, utDNA, MRI, and TURBT, will be randomized to either AS-arm or DBT-arm, while those without cCR will receive SOC. Participants will be monitored with cystoscopy and urine cytology (if bladder in situ) every three months for 2 years, along with ctDNA and imaging at 3, 6, 12, 18, and 24 months. The pilot-RCT will plan to enrol 72 patients, and if 25% is found to have cCR and accept to be randomized, the trial will be considered feasible. Assuming a 5% event rate at 2 years (MFS) in both groups and a type I error of 5% (1-sided), 78 per group will provide 80% power to reject the hypothesis of inferiority. We anticipate enrolling 688 patients for the phase 3 to have a total of 172 patients with cCR randomized, assuming 10% lost to follow-up. An independent Data Monitoring Committee will oversee safety and efficacy throughout the trial. Clinical trial information: NCT06537154 .

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0150.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.091
GPT teacher head0.495
Teacher spread0.404 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2025
Admission routes2
Has abstractyes

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