Syringoid eccrine carcinoma: a clinicopathological and immunohistochemical study of four cases
Bibliographic record
Abstract
BACKGROUND: Syringoid eccrine carcinoma (SEC) is a rare malignant adnexal tumour with variable presentations. AIM: To examine the clinicopathological and immunohistochemical features of SEC. METHODS: Four cases were reviewed by three dermatopathologists and the immunohistochemical profile was examined using antibodies against CK5/6, CK7, CK14, CK20, LMWK, HMWK, EMA, mCEA, p63, ER, PR, AR, S-100 and Ber-EP4. RESULTS: The cases occurred in two men and two women, ranging in age from 61 to 87 years (mean 68.5). Two of the lesions were from the face and two from the trunk. All four lesions were composed of an atypical infiltrative mass with syringoma-like tadpole morphology with ductular differentiation and prominent desmoplasia. Three cases demonstrated perineural invasion and two had positive lymph node metastases. Immunostaining was variable. Immunohistochemistry positivity was as follows: three out of four cases were positive for CK5/6, CK7 (2/4), CK14 (1/3), CK20 (0/2), HMWK (0/2), LMWK (1/2), EMA (3/4), mCEA (4/4), p63 (2/3), ER (2/3), PR (1/2), AR (0/3), S-100 (0/3) and Ber-EP4 (2/2). CONCLUSION: SEC can present on the trunk and are not limited to the head and neck region. In addition to syringoma-like tadpole structures and glandular differentiation, these tumours can also exhibit squamoid and cribriform growth patterns. Immunostaining in SEC is variable and this variability is believed to stem from this tumour's ability to differentiate along multiple routes, including sweat secretory and/or ductal differentiation.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".