Primary large cell neuroendocrine carcinoma of the skin: An under‐recognized entity and a mimic of metastatic disease
Bibliographic record
Abstract
Primary large cell neuroendocrine carcinomas of the skin are exceptionally rare and can be diagnosed only when a metastasis from another organ has been excluded. We report the case of a 62-year-old woman with a cutaneous papule on the mid-chest which generated a differential diagnosis of vascular lesion and basal cell carcinoma. Following excision, microscopic evaluation revealed a dermal large cell undifferentiated carcinoma, with a brisk mitotic rate and focal geographic necrosis. Mucin production was absent. On immunohistochemistry, the lesion expressed CK7, AE1AE3, CK8/18, chromogranin, synaptophysin, CD56, calcitonin (patchy) and TTF-1 (minimal focal). Stains for neurofilament, CK20, CK5/6, p40, p63, SOX10, MART-1, EMA, CEA, ER/PR, GATA3, GCDFP, mammoglobin, PAX-8, CDX2, napsin, ERG and MCPyV proved negative. The histopathological diagnosis was of a large cell neuroendocrine carcinoma, probably metastatic. The patient underwent comprehensive clinical, laboratory and radiographic investigations and no underlying primary carcinoma was detected. During a 20-month follow-up period with an oncologist, the patient remains well and free of any apparent carcinoma. This suggests a primary large cell neuroendocrine carcinoma of skin. To date, 3 such cases have been reported in Japanese patients. This is the first in a Caucasian resident of North America.
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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".