Avelumab first-line (1L) maintenance for advanced urothelial carcinoma (aUC): Long-term outcomes from the JAVELIN Bladder 100 trial in patients (pts) with high body mass index (BMI).
Bibliographic record
Abstract
600 Background: Avelumab 1L maintenance is recommended as standard of care by international treatment guidelines for pts with aUC that has not progressed with 1L platinum-based chemotherapy, based on level 1 evidence from the phase 3 JAVELIN Bladder 100 trial (NCT02603432). In the trial, avelumab 1L maintenance + best supportive care (BSC) significantly prolonged overall survival (OS) and progression-free survival (PFS) vs BSC alone (median OS, 23.8 vs 15.0 mo; HR, 0.76 [95% CI, 0.63-0.91]; 2-sided p=0.0036). The long-term safety of avelumab 1L maintenance was also demonstrated. It is estimated that 25% of the world’s population will have BMI ≥30 by 2035, and high BMI is a risk factor for bladder cancer. We report post hoc analyses of long-term outcomes from JAVELIN Bladder 100 in pts with high BMI (≥30) at baseline. Methods: Eligible pts with unresectable locally advanced or metastatic UC without progression after 4-6 cycles of 1L platinum-based chemotherapy were randomized 1:1 to receive avelumab 10 mg/kg every 2 wk + BSC (n=350) or BSC alone (n=350). The primary endpoint was OS; secondary endpoints included PFS and safety. Results: At data cutoff (June 4, 2021), median follow-up was ≥38 mo in both arms. In the avelumab + BSC and BSC alone arms, 67 and 55 pts had high BMI at baseline, respectively. In these pts, median OS was 20.8 mo (95% CI, 16.9-34.4) with avelumab + BSC vs 12.7 mo (95% CI, 8.1-26.6) with BSC alone (HR, 0.77 [95% CI, 0.49-1.21]); 2-y OS rates were 47.8% vs 37.6%, respectively. Median PFS by investigator was 5.6 mo (95% CI, 3.7-7.5) with avelumab + BSC vs 2.1 mo (95% CI, 1.9-4.0) with BSC alone (HR, 0.64 [95% CI, 0.42-0.97]); 2-y PFS rates were 23.5% vs 11.3%, respectively. Long-term safety in pts with high BMI was generally consistent with the overall safety population (Table). Conclusions: This exploratory analysis shows the long-term efficacy and tolerability of avelumab 1L maintenance in pts with high BMI in JAVELIN Bladder 100, with no new safety concerns identified. These results further support the use of avelumab 1L maintenance as standard of care in pts with aUC who are progression free after 1L platinum-based chemotherapy, including pts with high BMI. Clinical trial information: NCT02603432 . [Table: see text]
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".