Spiradenocarcinoma Arising from a Spiradenocylindroma: Unusual Case with Lymphoepithelioma-Like Areas
Bibliographic record
Abstract
BACKGROUND: Hybrid skin adnexal tumors are common, and spiradenocylindroma is well described. OBJECTIVE: However, malignant transformation in this setting is infrequent, especially resemblance to lymphoepithelioma-like carcinoma of skin, which is not associated with Epstein-Barr virus. METHODS: A 65-year-old female presented with ataxia and a skin nodule composed of a hybrid adnexal tumor (spiradenoma and cylindroma) that transitioned into an undifferentiated carcinoma with attendant lymphocytes and plasma cells. There was widespread dissemination of the undifferentiated component to regional neck lymph nodes. RESULTS: The undifferentiated component resembled a lymphoepithelioma-like carcinoma and showed focal evidence of tubular and squamous differentiation. The tumor was Epstein-Barr encoded RNAs (EBER) negative by in situ hybridization. No evidence of neuroendocrine differentiation was seen in the tumor, despite the patient having symptoms of paraneoplastic ataxia that improved after surgery. CONCLUSION: This case highlights the transition of a benign hybrid tumor (spiradenocylindroma) into a spiradenocarcinoma that resembled lymphoepithelioma-like carcinoma of skin. It also highlights two unusual features: widespread lymph node dissemination and presentation with paraneoplastic syndrome-associated ataxia.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".