Cergutuzumab Amunaleukin in Combination with Atezolizumab in Patients with Carcinoembryonic Antigen–Positive Advanced/Metastatic Solid Tumors
Bibliographic record
Abstract
PURPOSE: Cergutuzumab amunaleukin (CA) is an immunocytokine comprising a variant form of interleukin 2 (IL2) [constructed to avoid CD25 binding and regulatory T-cell (Treg) stimulation] fused to a carcinoembryonic antigen (CEA)-targeted antibody. This phase Ib open-label, multicenter dose-escalation and -expansion study (NCT02350673) evaluated the safety, activity, pharmacokinetics, and pharmacodynamics of CA plus atezolizumab in patients with advanced/metastatic CEA-positive solid tumors. PATIENTS AND METHODS: Patients received escalating doses of CA (6-20/25 mg) with fixed dosages of atezolizumab (840 mg) every 2 weeks or escalating dosages of CA weekly (10-15/20 mg) with fixed dosages of atezolizumab (1,200 mg) every 3 weeks. Primary objectives include maximum tolerated dose (MTD), recommended dose for expansion (RDE), and safety. RESULTS: Twenty-four patients were randomized to receive CA plus atezolizumab every 2 weeks and 45 patients to CA weekly plus atezolizumab every 3 weeks. A subgroup of patients (n = 5) received obinutuzumab before treatment to study the prevention of antidrug antibodies. The MTD was not determined; 15 mg weekly or 20 mg every 2 weeks of CA plus atezolizumab was the RDE. The safety profile was consistent with CA monotherapy and atezolizumab-based therapies. The addition of atezolizumab did not affect the pharmacokinetic profile of CA, and treatment induced the proliferation of T and NK cells in the blood without Treg expansion. Increases in pharmacodynamic markers (C-reactive protein, lymphocytes, sCD25, and cytokines) suggested immune activation despite limited antitumor activity (overall response rate: 13.5% with weekly/every-3-week regimen). CONCLUSIONS: The safety profile of this combination was manageable. Prominent pharmacodynamic effects were elucidated; antitumor activity was limited.
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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 | 0.001 | 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 | 0.000 | 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 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".