Ewing sarcoma with <i>FEV</i> gene rearrangements is a rare subset with predilection for extraskeletal locations and aggressive behavior
Bibliographic record
Abstract
The molecular hallmark of Ewing sarcoma (ES) is a fusion involving the EWSR1 gene and a member of the ETS family of transcription factors. EWSR1-FLI1 is the most common variant, occurring in 90% of cases, followed by EWSR1-ERG. In a small subset, the FUS gene can substitute for EWSR1 in these fusions. Only rare case reports have been described to date of ES with FEV gene rearrangements. In this study, we investigate the clinicopathologic and molecular features of 10 ES patients with FEV-rearrangements, either fused to EWSR1 (n = 4) or to FUS (n = 6). The median age at diagnosis was 38 years (range, 5-61 years); occurring in six males and four females. All tumors were located at extraskeletal sites, occurring more often in the axial soft tissues. Tumors had a similar morphologic appearance and immunophenotype as ES with more common EWSR1-ETS fusions. Of six patients with follow-up data, five patients (83%) developed metastasis and two patients (33%) died of their diseases. The diagnosis was confirmed either by fluorescence in situ hybridization and/or targeted RNA sequencing. In the five cases tested by targeted sequencing, the fusion transcripts were composed of EWSR1 or FUS fused to either exon 1 or 2 of FEV, retaining the FEV ETS DNA binding domain. This is the largest study to date investigating the ES subset with EWSR1/FUS-FEV fusions showing a predilection for extraskeletal sites and aggressive behavior.
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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 | 0.000 | 0.000 |
| 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".