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Record W2111456956 · doi:10.2310/7750.2008.08059

Spiradenocarcinoma Arising from a Spiradenocylindroma: Unusual Case with Lymphoepithelioma-Like Areas

2009· article· en· W2111456956 on OpenAlexaff
Runjan Chetty, Bayardo Perez‐Ordoñez, Ralph Gilbert, Nitin A. Pagedar, John Waldron, Danny Ghazarian

Bibliographic record

VenueJournal of Cutaneous Medicine and Surgery · 2009
Typearticle
Languageen
FieldMedicine
TopicCancer and Skin Lesions
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsLymphoepitheliomaMedicinePathologyCylindromaLymphoepithelioma-like carcinomaLymph nodeCarcinomaEpstein–Barr virusVirusImmunology

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.103
Threshold uncertainty score0.753

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.029
GPT teacher head0.275
Teacher spread0.246 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

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".

Quick stats

Citations7
Published2009
Admission routes1
Has abstractyes

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