Complete Spontaneous Regression of Metastatic Merkel Cell Carcinoma: A Case Report and Review of the Literature
Bibliographic record
Abstract
Merkel cell carcinoma (MCC) is a rare aggressive primary cutaneous neuroendocrine neoplasm with a high rate of recurrence and metastasis. We report a case of a 94-year-old woman who experienced complete spontaneous regression of metastatic MCC. Nine months after complete excision of the primary MCC on her left eyebrow, metastatic MCC was confirmed with a fine-needle aspiration of a 4-cm mass on the left side of her neck. Three months later the mass had reduced in size to 2 cm and a neck dissection was performed. Her submandibular gland, thoracic duct and 25 lymph nodes were negative for MCC. Two of the lymph nodes, the larger measuring 1.3 cm, contained extensive amounts of fibrosis, with accumulation of macrophages and other chronic inflammatory cells. The literature documents 6 similar cases of complete spontaneous regression of metastatic MCC. The mechanism for regression is not well understood and is thought to involve T-cell-mediated immune response and apoptosis.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".