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Record W4406254900 · doi:10.31579/2690-4861/621

Langerhans Cell Histiocytosis Associated with Oral Cancer. A Case Report of Unusual Association

2025· article· en· W4406254900 on OpenAlexaff
Nermeen Feltaos

Bibliographic record

VenueInternational Journal of Clinical Case Reports and Reviews · 2025
Typearticle
Languageen
FieldMedicine
TopicHistiocytic Disorders and Treatments
Canadian institutionsJuravinski HospitalJuravinski Cancer Centre
Fundersnot available
KeywordsLangerhans cell histiocytosisPathologyHistiocytosisMedicinePathogenesisCancerLesionNodule (geology)DermatologyDiseaseBiologyInternal medicine

Abstract

fetched live from OpenAlex

Langerhans cell histiocytosis (LCH) is rare, particularly the adult onset. The disease can present with wide-spectrum manifestations, ranging from an isolated lesion to life threatening multisystem involvement. The association of LCH with neoplastic conditions is documented in the literature. However, the co-occurrence of LCH and oral squamous cell carcinoma (SCC) is highly unusual and raises questions about the shared nature of both diseases. Herein, we present a rare case of an unusual co-occurrence of LCH and oral SCC. The patient, who has a long-standing history of smoking, underwent an excision for SCC. Microscopic examination revealed invasive well-differentiated SCC and an adjacent distinct nodule with morphological features and immunohistochemistry expression consistent with LCH. Most adult-onset LCH presents with multisystem involvement at diagnosis, and lesions in the oral cavity may precede evidence of LCH elsewhere. Although Somatic mutations have been identified as having a key role in the pathogenesis, a reactive process is not entirely excluded. Adult-onset isolated LCH lesions should prompt clinicians to look not only for multisystem involvement but also for association with other malignant neoplasia. In addition, the association of oral SCC with LCH raises the possibility of smoking-related pathogenesis.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.203
Threshold uncertainty score0.341

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.063
GPT teacher head0.445
Teacher spread0.382 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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