Updated efficacy and tolerability of durvalumab in locally advanced or metastatic urothelial carcinoma.
Bibliographic record
Abstract
286 Background: Anti-PD-L1 immunotherapy has shown promising clinical activity in urothelial carcinoma (UC). We report on a planned update of efficacy and follow-up in patients (pts) receiving durvalumab for the treatment of locally advanced or metastatic UC. Methods: Pts received durvalumab 10 mg/kg Q2W up to 12 months (mo), unacceptable toxicity or confirmed progressive disease. Tumor PD-L1 expression was assessed using the validated Ventana SP263 assay (PD-L1 high = TC ≥ 25% or IC ≥ 25%). Primary endpoints were confirmed ORR by RECIST v1.1 with blinded independent central review (BICR) and safety. Duration of response (DoR) and overall survival (OS) were key secondary endpoints. Results: As of July 24, 2016 (data cutoff [DCO]), the primary efficacy population included 103 pts who were followed for at least 13 weeks (median duration of follow up 7.3 mo); 37% had ≥ 2 prior regimens; 97% had prior platinum treatment; 95% had visceral metastases; and 49% had liver metastases at baseline. As of the DCO, 21 pts (20.4%) had a confirmed response per BICR (including 5 pts [4.9%] with a complete response) and an additional 3 pts had an unconfirmed response. Responses were seen in both PD-L1 high and PD-L1 low/negative subgroups (Table). Responses occurred early (median time to response 1.4 mo) and were durable. Median DoR has not been reached. Of the 21 confirmed responders, 18 pts had an ongoing response, 16 pts had DoR ≥ 6 mo and 7 pts had DoR ≥ 9 mo. Treatment-related Grade 3/4 AE rates were low (5.2%; as treated population, n = 191); Grade 3/4 immune-mediated AEs (imAEs) occurred in 3 pts, and 1 pt discontinued treatment due to an imAE of acute kidney injury. Conclusions: Durvalumab administered at 10 mg/kg Q2W showed clinical activity and an excellent safety profile in pts with locally advanced or metastatic UC. 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 | 0.000 |
| 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".