PD-1 Blockade With Concurrent Radiotherapy for Locally Advanced Inoperable Cutaneous Squamous Cell Carcinoma
Bibliographic record
Abstract
INTRODUCTION: For patients with locally advanced cutaneous squamous cell carcinoma (LA-cSCC), radiotherapy alone (RT) is often the only treatment option with modest tumor response. We report the outcomes of using combination of programmed cell death protein-1 (PD-1) inhibitor and RT in the treatment of inoperable LA-cSCC. The study presents the efficacy and safety data for the patients with LA-cSCC treated with this combination. METHODS: During the period 2018-2020, a total of 7 patients with biopsy proven inoperable LA-cSCC were treated with combination of PD-1 inhibitor cemiplimab and concurrent RT (Cem-RT). The patients were followed up for safety and efficacy of the Cem-RT regimen and the primary endpoints were objective tumor response and toxicity. RESULTS: The median age of patients was 68 years (range, 64-94). All patients had ECOG performance score 0-1. Six patients initially received cemiplimab and concurrent RT was added to PD-1 inhibitor when there was an inadequate therapeutic response. One patient received concurrent Cem-RT. RT with PD-1 antibody was well tolerated. Six patients developed grade ≤2 dermatitis and 1 patient (patient no. 3) developed acute grade 3 skin reaction. During the post-RT follow up, 3 patients discontinued cemiplimab due to significant toxicities. At the time of reporting , 5 patients remain in complete remission. One patient developed lung metastasis and is currently receiving best supportive care. CONCLUSIONS: The Cem-RT combination was safe and well tolerated with significant tumor response suggesting Cem-RT may be a viable therapeutic option for LA-cSCC. Our hypothesis generating data support the rationale for future prospective studies.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".