Preliminary results of a phase I/IIa study of BMS-986156 (glucocorticoid-induced tumor necrosis factor receptor–related gene [GITR] agonist), alone and in combination with nivolumab in pts with advanced solid tumors.
Bibliographic record
Abstract
104 Background: BMS-986156 is a fully human IgG1 agonist mAb that binds GITR and promotes T effector cell activation and possible reduction/inactivation of T regulatory cells. Preclinical data show enhanced antitumor T-cell activity with anti-GITR + anti–programmed death-1 (PD-1). Here we describe preliminary dose escalation data from a phase I/IIa study of BMS-986156 ± nivolumab (anti–PD-1 mAb) in pts with advanced solid tumors (NCT02598960). Methods: During dose escalation, pts received BMS-986156 (10–800 mg) or BMS-986156 (30–800 mg) + nivolumab (240 mg) every 2 weeks. Objectives included safety (primary), immunogenicity, pharmacokinetics (PK), pharmacodynamics (PD), and efficacy. Results: As of Dec 12, 2016, 66 pts were treated with BMS-986156 (n = 29) or BMS-986156 + nivolumab (n = 37).No dose-limiting toxicities (DLTs) were reported during dose escalation. The most common treatment-related adverse events reported with BMS-986156/BMS-986156 + nivolumab included pyrexia (21%/30%), chills (10%/16%), and fatigue (14%/14%); events were G1/2 in all pts except for 4 pts (6%) treated with the combination (G3 lipase [n = 1], G3 lung infection [n = 1], G3 fatigue [n = 1], and G3 aspartate aminotransferase with G4 creatine phosphokinase [n = 1; leading to discontinuation of treatment]). Preliminary data indicate that the incidence of immunogenicity to BMS-986156 was low when BMS-986156 ± nivolumab was administered. Preliminary data also indicate that BMS-986156 ± nivolumab exhibits linear PK with dose proportionality after a single dose, and BMS-986156 ± nivolumab is biologically active in PD analyses in peripheral blood. Initial antitumor activity has been observed in several pts treated with the combination; these data will be reported. Conclusions: This is the first report of clinical data with an anti-GITR mAb ± a PD-1 inhibitor.BMS-986156 ± nivolumab was well tolerated, with no DLTs and low immunogenicity. Antitumor activity was observed with BMS-986156 + nivolumab at doses predicted to be biologically active. Further evaluation of this combination in pts with advanced solid tumors is ongoing. Clinical trial information: NCT02598960.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| 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".