Updated efficacy and tolerability of durvalumab in locally advanced or metastatic urothelial carcinoma (UC).
Bibliographic record
Abstract
4525 Background: Anti-PD-L1 immunotherapy shows promising clinical activity in UC. We report a planned update of the safety and efficacy of durvalumab in patients (pts) with locally advanced/metastatic UC from a multicenter, phase 1/2 open-label study. Methods: Pts received durvalumab 10 mg/kg every 2 weeks (Q2W) up to 12 months (mo) or until unacceptable toxicity, progression, or starting another anticancer therapy. Primary endpoints were safety and confirmed objective response rate (ORR) by blinded independent central review (RECIST v1.1). Duration of response (DoR), progression-free survival (PFS) and overall survival (OS) were key secondary endpoints. Tumor PD-L1 expression was assessed by Ventana SP263 assay (PD-L1 high = ≥25% PD-L1 expression on tumor or immune cells). Results: As of Oct 24, 2016 (data cutoff [DCO]), 191 pts had received treatment. Median follow-up was 5.78 mo (range, 0.4–25.9). All pts had Stage 4 disease and 99.5% had prior anticancer therapy (95.3% post-platinum). As of DCO, ORR was 17.8% (34/191), including 7 CRs, with responses observed regardless of PD-L1 status (Table). Responses occurred early (median time to response, 1.41 mo) and were durable (median DoR not reached [NR]). Median PFS and OS were 1.5 mo (95% CI, 1.4, 1.9) and 18.2 mo (95% CI, 8.1, not estimable [NE]), respectively; the 1-year OS rate was 55.0% (95% CI, 43.9%, 64.7%). Grade 3/4 treatment-related AEs occurred in 6.8% of pts; grade 3/4 immune-mediated (im)AEs occurred in 4 pts; 2 pts discontinued due to imAEs (acute kidney injury and autoimmune hepatitis). Conclusions: Durvalumab 10 mg/kg Q2W shows favorable clinical activity and an excellent safety profile in locally advanced/metastatic UC pts. Table. Antitumor activity in UC pts, including second-line or greater (≥2L) post-platinum pts Clinical trial information: NCT01693562. [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 | 0.001 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".