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Record W4412573274 · doi:10.1177/10935266251357098

<i>H3F3A</i> K36M-mutant Epithelioid Neoplasm: A Report of Two Novel Cases of a Non-chondrogenic H3K36-altered Mesenchymal Tumor

2025· article· en· W4412573274 on OpenAlexaff
Sze Jet Aw, Yingting Mok, Khurshid Merchant, Robert Siddaway, Jian Yuan Goh, Amos Hong Pheng Loh, Kenneth Tou En Chang

Bibliographic record

VenuePediatric and Developmental Pathology · 2025
Typearticle
Languageen
FieldMedicine
TopicBone Tumor Diagnosis and Treatments
Canadian institutionsHospital for Sick Children
FundersVIVA Foundation for Children with Cancer
KeywordsBiologyPathologyMesenchymal stem cellChondroblastomaMutantCancer researchGeneMedicineGenetics

Abstract

fetched live from OpenAlex

Background: Identifying the genetic signatures in bone and soft tissue tumors enhances our understanding of tumor biology and aids in the subclassification of tumors for personalized treatment. Histone H3.3 alterations play a pivotal role in H3F3A/B K36M-mutant chondroblastomas and H3F3A G34W/L-mutant giant cell tumors of the bone. Methods and Results: In this report, we describe 2 cases of a distinct epithelioid neoplasm with H3F3A K36M mutation but lacking features of chondroblastoma, which extends the spectrum of H3.3-mutant mesenchymal tumors. The 2 cases occurred in pediatric patients, had an aggressive clinical presentation, distinct epithelioid histomorphology with diffuse cytokeratin and TFE3 expression, and identical H3F3A K36M mutations. No gene fusions were identified. Methylation analysis using the DKFZ sarcoma classifier v12.3 pipeline did not classify these tumors with known entities, suggesting the existence of non-chondrogenic mesenchymal tumors within the H3.3-mutant tumor spectrum. Conclusions: The distinctive histological and molecular features of these 2 cases expand the spectrum of H3.3-mutant tumors and call for further investigation of the biological underpinnings of this group of tumors.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.076
Threshold uncertainty score0.893

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.013
GPT teacher head0.278
Teacher spread0.265 · 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 designObservational
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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