Primary cutaneous <scp>NUT</scp> carcinoma with <i>BRD4::NUTM1</i> fusion
Bibliographic record
Abstract
Nuclear protein in testis (NUT) carcinoma, molecularly defined by the NUTM1 gene rearrangement, is most commonly reported in young adults in the sinonasal tract, nasopharynx, or thorax. At these sites, NUT carcinoma is an extremely aggressive malignancy with dismal prognosis. Recently, five cases of primary cutaneous NUT adnexal carcinoma have been reported with BRD3 and NSD3 fusion partners. Although NUT adnexal carcinomas are shown to have metastatic potential, they may behave less aggressively than extracutaneous NUT carcinomas. We report a case of a 59-year-old man who underwent a biopsy of a 3-cm plantar mass, which showed BRD4::NUTM1 fusion. The tumor was a poorly differentiated dermal neoplasm showing cytologic atypia, large vesicular nuclei with prominent nucleoli, conspicuous mitotic activity, and foci of necrosis. Immunohistochemically, the tumor showed positivity for keratins, EMA, SOX10, and NUT, with patchy smooth muscle actin. Molecular testing revealed BRD4::NUTM1 rearrangement. With no alternative primary identified by imaging, a diagnosis of primary cutaneous NUT carcinoma was favored. We hope to contribute to the limited body of knowledge on this entity, with emphasis on recognition as well as studying and defining its prognostic differences from extracutaneous NUT carcinomas.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.002 | 0.001 |
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".