Incidence and Management of Adverse Events Associated with Tebentafusp Treatment in Metastatic Uveal Melanoma: Pooled Safety Analysis of 410 Patients
Bibliographic record
Abstract
PURPOSE: We conducted an integrated safety analysis from three clinical studies of tebentafusp, a first-in-class ImmTAC bispecific T-cell engager, which can redirect T cells to target glycoprotein 100-positive cells, in metastatic uveal melanoma. EXPERIMENTAL DESIGN: HLA-A*02:01-positive patients with unresectable or metastatic uveal melanoma enrolled in three clinical trials (IMCgp100-01, IMCgp100-102, and IMCgp100-202) who received ≥1 dose of tebentafusp were included. Safety data were pooled to evaluate the profile, onset, and management of treatment-related adverse events (TRAE). Adverse events of special interest included cytokine release syndrome (CRS), acute skin reactions (ASR), and liver function test elevations. Primary prophylaxis with medications was not permitted. RESULTS: Among 410 tebentafusp-treated patients, the most common TRAE were pyrexia (77%), pruritus (71%), and chills (53%). Most patients experienced CRS (88%), almost always mild (grade 1, 19%) to moderate (grade 2, 67%) in severity, with only 2% experiencing grade 3 (n = 6) or 4 (n = 1) CRS. Additionally, 92% had at least one ASR, primarily pruritus and rash, with 21% having a grade 3 event. Onset of CRS and ASR was within 1 to 2 days of infusion and generally reversible with standard interventions. Elevated liver function tests were generally mild and resolved without intervention. Most TRAE occurred following the first few infusions and diminished in frequency and severity with repeated dosing; no cumulative TRAE were detected. Discontinuations due to TRAE were rare (2%); there were no treatment-related deaths. CONCLUSIONS: TRAE were consistent with tebentafusp's mechanism of action, mostly occurred during dose escalation, and were predictable, reversible, and manageable with appropriate surveillance and intervention.
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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 | 0.011 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.005 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".