Hyalinizing epithelioid tumors with <scp><i>OGT‐FOXO</i></scp> fusions. A case report of a non‐acral soft tissue mass harboring a novel <scp><i>FOXO4</i></scp> gene rearrangement
Bibliographic record
Abstract
Recurrent fusions between OGT and members of the Forkhead box (FOXO) family of genes have been recently described in three cases of hyalinizing epithelioid acral soft tissue tumors in young adults showing co-expression for EMA and CD34. Despite the lack of an established myoepithelial lineage by immunohistochemistry, these lesions have been labeled as myoepithelioma-like due to their epithelioid phenotype and sclerotic background. In this study, we report a novel FOXO4-OGT fusion identified by targeted RNA sequencing in an unclassified shoulder soft tissue mass in a 40-year-old male. The tumor showed nodular foci of increased cellularity in a uniformly hyalinized background. The neoplastic cells were mainly epithelioid and focally spindled, with eosinophilic cytoplasm and indented nuclei with mild atypia. The tumor lacked significant mitotic activity and necrosis. Immunohistochemically, the tumor showed variable positivity for EMA, pan-CK, CD34, ERG and FLI1, while it was negative for CD31, S100, SOX10, desmin, and MUC4. INI1 expression was retained. Due to its unusual histology and conflicting immunoprofile, TruSight RNA fusion panel sequencing was performed which revealed a fusion between FOXO4 exon 2 to OGT exon 2. This is the first example of a soft tissue lesion harboring OGT-related fusions occurring in a non-acral location and associated with FOXO4 gene. Its line of differentiation and biologic potential remain uncertain.
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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 | 0.000 |
| 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".