Phase Ib Study of the Immunocytokine Simlukafusp Alfa (FAP-IL2v) in Combination with Cetuximab in Patients with Head and Neck Squamous Cell Carcinoma
Bibliographic record
Abstract
PURPOSE: This phase Ib trial evaluated fibroblast activation protein-α-targeted IL2 variant (FAP-IL2v), a novel immunocytokine engineered to minimize CD25-mediated toxicities, in combination with cetuximab, in patients with recurrent, unresectable, or metastatic head and neck squamous cell carcinoma (HNSCC). PATIENTS AND METHODS: Patients received FAP-IL2v either on a continuous weekly (QW) schedule or QW for 4 weeks and then every 2 weeks (Q2W). Cetuximab was dosed at QW or Q2W schedules. The primary objectives were to evaluate the safety and tolerability, maximum tolerated dose, pharmacokinetics, and clinical activity for the combination of FAP-IL2v with cetuximab. Exploratory objectives included pharmacodynamic analyses. RESULTS: A total of 58 patients were enrolled, 19 patients into the dose-escalation part, and 39 patients into the expansion part. The maximum tolerated dose of FAP-IL2v was defined as 10 mg (QW/Q2W) in combination with cetuximab (500 mg/m2, Q2W), which was further tested in the expansion part. The most common FAP-IL2v-related adverse events with a grade 3 or 4 severity were hypophosphatemia (19%), lymphopenia (16%), and infusion-related reaction (14%). The pharmacokinetics of FAP-IL2v in combination with cetuximab was similar to that after administration as monotherapy. Consistent with the proposed mode of action, FAP-IL2v preferentially expanded intratumoral NK and CD8 T cells. Four patients achieved a partial response, and the objective response rate was 7% (95% confidence interval, 3.2-14.7). CONCLUSIONS: The safety profile of FAP-IL2v in combination with cetuximab was acceptable, and pharmacodynamic markers support the proposed mode of action of this combination, but the overall low antitumor activity does not warrant further clinical exploration in HNSCC. [Part C of Study BP29842 (NCT02627274).].
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".