First-in-human phase 1 study of the ICOS agonist feladilimab on patients with advanced solid tumors
Bibliographic record
Abstract
BACKGROUND: Inducible costimulator (ICOS) receptor belongs to the CD28/CTLA immunoglobulin super family, whose expression is restricted to T cells and is weakly expressed on resting TH17, follicular helper T cells, and regulatory T cells, but is highly induced on CD4+ and CD8+ T cells on activation by T-cell receptors. ICOS stimulation downstream effects include activation of conventional CD4+cells and cytotoxic CD8+cells, resulting in a durable antitumor response in preclinical models. METHODS: As part of a larger first-in-human study (GSK Study 204691), this study focused on 2 cohorts of 25 and 67 participants enrolled in a dose escalation and pharmacokinetic/pharmacodynamic (PK/PD) analysis of the ICOS agonist feladilimab (GSK3359609) as monotherapy. For these cohorts, the objectives were to determine the safety, tolerability, maximum tolerated dose (MTD) or maximum administered dose of feladilimab. Additional objectives included determining the recommended dose of feladilimab for further exploration, characterizing the PK properties, and immunogenicity. RESULTS: Feladilimab was examined over a range of 4 logs from 0.001 mg/kg to 10 mg/kg, and no MTD was established. Adverse events were manageable and consistent with those observed with other immunomodulatory treatments; fatigue, fever, and anemia were the most common events. PK showed a peak value 1 hour following infusion. Accumulation ratio ranged from 1.4 to 2.5 and was generally consistent with expected patterns of accumulation for a monoclonal antibody, and the drug showed linear dose proportionality. ICOS receptor occupancy was maximal at doses>0.1 mg/kg. Based on the collected data, doses of 0.3 and 1.0 mg/kg were selected for further exploration. CONCLUSIONS: This study showed the feasibility of a modified Toxicity Proportion Interval design and PK/PD analysis to determine a recommended dose for a compound without a dose-limiting toxicity and a tolerable and manageable safety profile.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".