Final overall survival and safety update for durvalumab in third- or later-line advanced NSCLC: The phase II ATLANTIC study
Bibliographic record
Abstract
INTRODUCTION: In the phase II ATLANTIC study, durvalumab provided durable responses with acceptable tolerability in heavily pretreated patients with advanced NSCLC, across three independent patient cohorts defined by EGFR/ALK status and tumour PD-L1 expression. Preliminary overall survival (OS) data were encouraging. We now report final OS and updated safety data. METHODS: Patients with advanced NSCLC with disease progression following ≥2 previous systemic regimens received durvalumab 10 mg/kg every 2 weeks. The primary endpoint was objective response rate among patients with increased PD-L1 expression (defined as ≥25 % or ≥90 % of tumour cells [TCs], cohort-dependent). Secondary endpoints included OS and safety. RESULTS: 444 patients received durvalumab: 111 in Cohort 1 (EGFR+/ALK+), 265 in Cohort 2 (EGFR-/ALK-), and 68 in Cohort 3 (EGFR-/ALK-; TC ≥ 90 %). Median (95 % CI) OS was 13.3 months (6.3-24.5) in patients with EGFR+/ALK+ NSCLC with TC ≥ 25 %, 10.9 months (8.6-13.6) in patients with EGFR-/ALK- NSCLC with TC ≥ 25 %, and 13.2 months (5.9-not reached) in patients with EGFR-/ALK- NSCLC with TC ≥ 90 %. Median (95 % CI) OS was slightly shorter in patients with TC < 25 % (9.9 months [4.2-13.3] in patients with EGFR+/ALK+ NSCLC and 9.3 months [5.9-10.8] in those with EGFR-/ALK- NSCLC). Treatment-related adverse events of special interest occurred with similar incidences as reported previously. CONCLUSIONS: After additional follow-up, final OS data remain encouraging across all cohorts, further supporting the clinical activity of durvalumab in patients with heavily pretreated advanced NSCLC, including those with EGFR+/ALK+ tumours. There were no new safety signals.
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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 | 0.005 | 0.002 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".