Libtayo<sup>®</sup> (Cemiplimab-rwlc) Injection for Intravenous Use.
Bibliographic record
Abstract
(cemiplimab-rwlc) injection for intravenous use was recently approved by the US Food and Drug Administration (FDA) for locally advanced basal cell carcinoma (laBCC) and metastatic basal cell carcinoma (mBCC), both being the advanced stages of BCC. In the past, it was approved by the FDA for the treatment of metastatic cutaneous squamous cell carcinoma (mCSCC) and locally advanced cutaneous squamous cell carcinoma (laCSCC), both being the advanced stages of CSCC. Cemiplimab is a monoclonal antibody that works by blocking the programmed death-1 pathway. In two open-label, single-arm, phase 2 studies, cemiplimab was investigated for the treatment of advanced stages of BCC (study 1620, NCT03132636) and advanced stages of CSCC (study 1540, NCT02760498). The primary endpoint was objec-tive response rate (ORR) per independent central review. In the study 1620, both mBCC and laBCC received cemiplimab 350 mg every 3 weeks. ORR was 21% (6/28) and 31% (26/84) in the mBCC and laBCC groups, respectively. In the study 1520, mCSCC was divided into two groups: one receiving cemiplimab 350 mg every 3 weeks (Q3W) and another receiving 3-mg/kg cemiplimab every 2 weeks (Q2W); the third group, laCSCC, received cemiplimab 3 mg/kg every 2 weeks. ORR was 41% (23/56) in the Q3W group, 49% (29/59) in the Q2W group, and 44% (34/78) in the laCSCC group. An acceptable safety profile and antitumor activity was discovered in patients treated with cemiplimab. The recommended dosage for cemiplimab to treat advanced stages of BCC and CSCC is 350 mg every 3 weeks administered intravenously over 30 min.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.047 | 0.024 |
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".