Avelumab first-line (1L) maintenance for advanced urothelial carcinoma (aUC): Long-term outcomes from JAVELIN Bladder 100 in subgroups defined by response to 1L chemotherapy.
Bibliographic record
Abstract
4559 Background: In the phase 3 JAVELIN Bladder 100 trial (NCT02603432), avelumab 1L maintenance + best supportive care (BSC) significantly prolonged overall survival (OS) vs BSC alone in patients (pts) with aUC that had not progressed with 1L platinum-based chemotherapy. We report exploratory analyses in subgroups defined by response to 1L chemotherapy (complete response [CR], partial response [PR], or stable disease [SD]) after ≥2 years of follow-up. Methods: Eligible pts had unresectable locally advanced or metastatic UC without progression with 4-6 cycles of 1L gemcitabine + cisplatin or carboplatin. Pts were randomized 1:1 to receive avelumab + BSC (n = 350) or BSC alone (n = 350), stratified by best response to 1L chemotherapy (CR/PR vs SD) and visceral vs nonvisceral disease at start of 1L chemotherapy. Results: At data cutoff (June 4, 2021), median follow-up in both arms was ≥38 months. OS and PFS were longer in the avelumab + BSC vs BSC alone arm in all subgroups (Table). Median duration of study treatment and incidence of grade ≥3 treatment-emergent adverse events (TEAEs) in subgroups are shown in the Table. In the avelumab + BSC vs BSC alone arm, respectively, subsequent second-line anticancer drug therapy was received by: CR subgroup, 50.0% vs 74.2%; PR subgroup, 58.3% vs 71.8%; and SD subgroup, 46.4% vs 70.4%. Conclusions: Long-term follow-up from JAVELIN Bladder 100 continues to show prolonged OS and PFS with avelumab + BSC vs BSC alone irrespective of response (CR, PR, or SD) to 1L chemotherapy and despite a higher proportion of pts in the BSC alone arm receiving subsequent therapy. Long-term safety was consistent across subgroups. These findings further support avelumab 1L maintenance as standard of care for all pts with aUC that has not progressed with 1L platinum-based chemotherapy. 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".