Clinical and Pathological Features of a Schwannoma Harboring a <i>SH3PXD2A::HTRA1</i> Gene Fusion in a Pre-pubescent Patient
Bibliographic record
Abstract
An 11-year-old girl presented with a soft tissue lesion on the dorsal aspect of the left middle finger. Ultrasound imaging demonstrated a 2.8 cm × 0.8 cm × 0.8 cm lesion overlying the dorsal aspect of the base of the digit near the metacarpophalangeal joint. The patient’s past medical history is remarkable for neuroblastoma, diagnosed at 9 months of age, with no MYCN amplification or 1p loss. We report a pediatric schwannoma harbouring a SH3PXD2A::HTRA1 gene fusion with a distinctive serpentine histology. The lesion consisted of well-circumscribed nodules surrounded by thin EMA-positive perineural capsules. Each nodule was composed of lesional cells arranged in short fascicles with occasional clefting and a distinct “serpentine” palisading pattern. The lesion demonstrated Antoni A regions with Verocay body formation. No significant Antoni B areas were seen. The lesional Schwannian cells were bland with elongated and tapered nuclei, showing strong and diffuse positivity for S100. This pre-pubescent girl (Tanner Stage 2) is currently the youngest reported case of fusion-positive schwannoma. In addition, she has a significant prior history of a malignant neoplasm, and the lesion arose in an appendicular location.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 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".