Novel recurrent <i>PHF1‐TFE3</i> fusions in ossifying fibromyxoid tumors
Bibliographic record
Abstract
Ossifying fibromyxoid tumor (OFMT) is an uncommon mesenchymal neoplasm of uncertain differentiation and intermediate malignant potential. Recurrent PHF1 gene rearrangements are detected in up to 80% of OFMTs. We describe the clinicopathologic features of five OFMTs harboring a novel PHF1-TFE3 fusion. In two cases, RNA sequencing identified a fusion transcript composed of PHF1 exon 11 fused to TFE3 exon 3, whereas in a third case PHF1 exon 12 was fused to TFE3 exon 7. A FISH break-apart assay revealed rearrangements in both PHF1 and TFE3 genes in all cases. The cohort included three males and two females with a median age of 64 years. One OFMT originated in the scapula, while four occurred in the deep soft tissues. Two OFMTs had typical features, whereas three were classified as malignant. Despite uniform cytologic features and fibromyxoid stroma compatible with an OFMT diagnosis, none showed a peripheral shell of lamellar bone. S100 expression was focally present in only one case, while desmin was positive in three cases. All tumors showed strong nuclear immunopositivity for TFE3. All three malignant OFMTs developed metastases, either regionally or to the lung. One patient died of disease 1 year after diagnosis, while the remaining two are alive with disease. In summary, we report novel recurrent PHF1-TFE3 fusions in a subset of OFMTs with aggressive clinical behavior. The PHF1-TFE3 fusions resulted in consistent protein TFE3 overexpression which can be used as a reliable screening tool, adding OFMT as another tumor driven by TFE3 oncogenic activation pathway.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".