Sasanlimab plus BCG in BCG-naive, high-risk non-muscle invasive bladder cancer: the randomized phase 3 CREST trial
Bibliographic record
Abstract
Bacillus Calmette-Guérin (BCG) induction and maintenance (I+M) after transurethral resection of bladder tumor is standard of care (SOC) in high-risk non-muscle invasive bladder cancer (NMIBC). However, disease recurrence/progression occurs in approximately 40% of patients at 2 years, with unfavorable prognosis. Limited bladder-sparing therapeutic options exist, and no improvements to response durability have been observed in decades. CREST is a global, phase 3, randomized trial evaluating subcutaneous sasanlimab in combination with BCG-I+M (Arm A), sasanlimab in combination with BCG-I (Arm B) or BCG-I+M (Arm C) in BCG-naive high-risk NMIBC. The primary endpoint was investigator-assessed event-free survival (EFS) for Arm A versus Arm C; key secondary endpoints were EFS (Arm B versus Arm C) and overall survival. Patients were randomized 1:1:1 to Arm A (N = 352), Arm B (N = 352) and Arm C (N = 351). The trial met its primary endpoint with a statistically significant and clinically meaningful prolongation of EFS (Arm A versus Arm C); hazard ratio, 0.68 (95% confidence interval: 0.49-0.94); one-sided P = 0.0095. The 36-month estimated EFS rates were 82.1% (Arm A) and 74.8% (Arm C). EFS benefit for Arm A versus Arm C was observed across prespecified subgroups, including carcinoma in situ (CIS) and T1. The safety profile of the combination was consistent with the known profiles. To our knowledge, sasanlimab is the first anti-PD-1 antibody to show a clinically meaningful prolongation of EFS when combined with BCG-I+M versus SOC in patients with BCG-naive high-risk NMIBC. Sasanlimab combined with BCG-I+M has the potential to redefine the treatment paradigm and clinical decision-making for patients with BCG-naive high-risk NMIBC. ClinicalTrials.gov identifier: NCT04165317 .
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".