Phase II study of retifanlimab in patients with recurrent locally advanced or metastatic Merkel cell carcinoma (POD1UM-201)
Bibliographic record
Abstract
BACKGROUND: POD1UM-201, an open-label, single-arm, phase II multiregional study, evaluated efficacy and tolerability of retifanlimab, a humanized monoclonal antibody targeting programmed cell death protein-1 (PD-1) in chemotherapy-naive patients with recurrent locally advanced or metastatic Merkel cell carcinoma (MCC). METHODS: Patients were enrolled across 34 sites in the USA, Canada, and Europe. Eligible patients were ≥18 years with confirmed recurrent advanced locoregional or metastatic MCC not amenable to surgery or radiation therapy, had not received previous systemic treatment, had measurable disease, and Eastern Cooperative Oncology Group performance status 0-1. Retifanlimab 500 mg was administered intravenously every 4 weeks (Q4W) for up to 2 years. The primary endpoint was objective response rate (ORR). Key secondary endpoints included duration of response (DOR), disease control rate (DCR), progression-free survival (PFS), overall survival (OS), and safety. RESULTS: A total of 101 patients were enrolled between February 12, 2019, and June 16, 2021, with a median duration of follow-up for response of 22.2 (range: 1.1-55.3) months. ORR was 54.5% (95% CI: 44.2% to 64.4%; n=55), including 18 patients (17.8%) with complete responses (CRs) and 37 (36.6%) with partial responses (PRs). DCR was 60.4% (95% CI: 50.2% to 70.0%; n=61). Median DOR was not reached (95% CI: 14.0 months to not estimable (NE)) in patients who achieved CR and was 25.3 months (95% CI: 14.2 months to NE) in those with PR. With a median follow-up of 9.3 (range: 0.0-57.1) months, the estimated median PFS was 16.0 months (95% CI: 9.0 months to 32.2). Median OS was not reached with 63% of patients alive at 3 years. The safety profile was representative of the PD-(ligand)1 inhibitor class, with grade 3 immune-related adverse events occurring in 11 patients (10.9%). CONCLUSIONS: Retifanlimab 500 mg Q4W led to frequent and durable responses in chemotherapy-naive patients with advanced MCC with an acceptable safety profile. Retifanlimab represents a new immunotherapy option for patients with locally advanced or metastatic MCC. TRIAL REGISTRATION NUMBER: NCT03599713; EudraCT 2018-001627-39.
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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) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".