Final results from SAUL, a single-arm international real-world study of atezolizumab (atezo) in 1004 patients (pts) with pretreated locally advanced/metastatic urinary tract carcinoma (UTC).
Bibliographic record
Abstract
4569 Background: In the SAUL study (NCT02928406), clinical outcomes in a broad population were similar to findings from phase 3 trials of anti-PD-(L)1 in highly selected pts. We report the final analysis 4 y after enrolling the last pt. Methods: Eligible pts had locally advanced/metastatic urothelial or non-urothelial UTC that had progressed during or after 1–3 prior lines of therapy for advanced UTC (or within 12 months of [neo]adjuvant therapy). Unlike most phase 3 immunotherapy trials, pts with autoimmune disease (AID), ECOG PS 2, creatinine clearance (CrCl) ≥15–30 mL/min, and/or stable CNS metastases were eligible. Pts took atezo 1200 mg q3w until disease progression or unacceptable toxicity. The primary endpoint was safety. Secondary endpoints included overall survival (OS) and duration of response (DoR). Results: Among 997 treated pts, 10% had ECOG PS 2, 5% had CrCl <30 mL/min, 4% had a history of AID, and 7% had 2–3 prior lines of therapy. At data cutoff (Dec 20, 2022; median follow-up 55 mo), 78% of pts had died. Median treatment duration was 2.8 mo (range 0–62 mo; mean 9.5 mo), 96 pts (10%) took atezo for >3 y, and 68 (7%) for >4 y. Grade ≥3 adverse events (AEs) occurred in 51%; AEs led to atezo discontinuation in 8%. We show outcomes overall and in key subgroups. OS was >4 y in 136 pts (14%); 132 responders had OS >2 y. Conclusions: After 55 mo median follow-up, median OS was 8.6 mo and 3-y OS was 21% in a real-world population including important understudied subgroups. Long-term safety data continue to support the tolerability of atezo in pts with complex comorbidities. AESIs were not increased in pts typically considered to be at increased risk of immune-related AEs. OS was similar to trials in highly selected pts. Ongoing analyses are characterizing pts with exceptional long-term outcomes. Clinical trial information: NCT02928406 . [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 | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".