Safety and Clinical Activity of Atezolizumab Plus Ipilimumab in Locally Advanced or Metastatic Non–Small Cell Lung Cancer: Results From a Phase 1b Trial
Bibliographic record
Abstract
BACKGROUND: This phase 1b study investigated safety and activity of combined checkpoint inhibition (CPI) with programmed death-ligand 1 (PD-L1) antibody atezolizumab plus cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) inhibitor ipilimumab in NSCLC. PATIENTS AND METHODS: Eligible patients had previously treated locally advanced or metastatic non-small cell lung cancer (NSCLC) or melanoma. A standard 3+3 dose escalation investigated atezolizumab (600-1200 mg IV every 3 weeks) plus ipilimumab starting at 1 mg/kg, administered as a single dose or 4 doses, administered every 3 weeks. The expansion stage included a cohort previously treated with atezolizumab. Patients were monitored for safety and tolerability; response was evaluated every 6 weeks. RESULTS: Twenty-seven patients were enrolled, 4 with melanoma and 23 with NSCLC; here, we focus on data for the NSCLC population. Three of 23 patients (13.0%) received prior CPI. No dose-limiting toxicities were reported during dose escalation; dose expansion occurred with atezolizumab 1200 mg plus 1 cycle of ipilimumab 1 mg/kg. Most common treatment-emergent adverse events were dyspnea (39%) and cough (35%); treatment-related Grade ≥3 adverse events occurred in 11 patients (48%), most frequently pneumonitis (17%) and amylase or lipase elevation (9% each). Six of 23 NSCLC patients (26%) achieved confirmed responses, 5 of whom (25%) were CPI naive. Median duration of response was 23.0 (95% CI, 3.2-36.9) months overall and 36.9 (95% CI, 2.9-36.9) months in CPI-naive patients. CONCLUSION: Preliminary efficacy of atezolizumab plus ipilimumab was observed in metastatic NSCLC. The combination had manageable toxicity, with a safety profile consistent with those of the individual agents.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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 teacher head, 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".