Severe immune mucositis and esophagitis in metastatic squamous carcinoma of the larynx associated with pembrolizumab
Bibliographic record
Abstract
BACKGROUND: Pembrolizumab is an anti-programmed death 1 (PD-1) receptor monoclonal antibody that has shown activity as second line treatment for metastatic head and neck squamous cell carcinoma (HNSCC). Immune-related adverse events are now well described complications of PD-1 inhibitors and most organ sites have been shown to be potentially affected. CASE PRESENTATION: We describe a 69-year old patient with a relapsed squamous cell carcinoma of the supraglottic larynx with lung metastasis after receiving adjuvant concurrent cisplatin and radiotherapy. This patient was treated with pembrolizumab and benefitted from therapy with major radiological improvement of disease. After 14 cycles of pembrolizumab 200 mg IV each 3 weeks, he experienced dysphagia that evolved to a grade 4 oral cavity and pharynx mucositis and esophagitis. Histologic analysis showed ulcerative esophagitis associated with granulation tissue. Pembrolizumab was discontinued and IV methylprednisolone 2 mg/kg/day was initiated. Two days later, the patient reported a 50% recovery in his symptoms which were completely resolved after 2 weeks. Methylprednisolone was switched to oral prednisone and a taper was planned over 8 weeks. During the fourth week of taper, the patient presented recurrence of grade 1 oral mucositis. Prednisone was increased 2 mg/kg/day for 2 weeks followed by slower tapering over a period of 5 months. Pembrolizumab was not reinitiated. CONCLUSION: This is the first described case of grade 4 immune mucositis and esophagitis associated with pembrolizumab. Because the use of pembrolizumab is increasing in oncology, pharmacists and physicians should be aware of this rare manifestation.
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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".