Ossifying Fibromyxoid Tumor of the Genitourinary Tract
Bibliographic record
Abstract
Ossifying fibromyxoid tumors (OFMTs) are rare mesenchymal neoplasms which typically present in the superficial subcutaneous tissues and have not been reported to arise in visceral organs. We now report 4 molecularly confirmed cases of OFMT involving the genitourinary tract. All patients were males, ranging in age from 20 to 66 years (mean: 43 y). One case each arose in the kidney, ureter, perirenal soft tissue, and penis. All neoplasms demonstrated bland epithelioid to spindled cells set in a variably fibrous to fibromyxoid stroma, and only 1 had a peripheral shell of lamellar bone. All cases appeared well-circumscribed on gross/radiologic examination, though the primary renal neoplasm permeated between native renal tubules. By immunohistochemistry, S100 protein was negative in all 4 cases, while desmin was positive in 2 cases. In 2 cases, the Illumina TruSight RNA Fusion Panel demonstrated a PHF1::TFE3 and EP400::PHF1 fusion, respectively. In the remaining 2 cases, PHF1 gene rearrangement was confirmed by fluorescence in situ hybridization analysis. Due to unusual clinical presentation, lack of S100 positivity, and only occasional bone formation, the correct diagnosis was challenging in the absence of molecular testing. In summary, OFMT may rarely present primarily in the genitourinary tract. Given their nonspecific morphology and immunophenotype, molecular analysis is crucial to establish the correct diagnosis.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".