Novel <scp> <i>SMARCA2</i> </scp> :: <scp> <i>DDIT3</i> </scp> Fusion in Primary Subcutaneous Myxoid Liposarcoma due to an Unusual Unbalanced Chromosomal Translocation
Bibliographic record
Abstract
Myxoid liposarcoma (MLS) accounts for 20%-30% of all liposarcomas, with most cases harboring the fusion gene FUS::DDIT3, while approximately 5% exhibit the EWSR1::DDIT3 fusion. We report the case of a 26-year-old male patient with a right upper arm mass. The tumor displayed the classic histological features of MLS, including small spindle/ovoid cells, variable univacuolated lipoblasts, and a prominent myxoid stroma with delicate arborizing vasculature. Despite these characteristic features, fluorescence in situ hybridization (FISH) revealed no apparent rearrangement of the DDIT3 locus. Next-generation sequencing (NGS) identified a novel fusion transcript in which SMARCA2 exon 4 was fused in-frame with DDIT3 exon 2. Chromosomal microarray analysis demonstrated the unbalanced nature of the rearrangement, with partial deletions of 0.243 and 0.176 Mb flanking the centromeric end of the DDIT3 locus on 12q13.3 (which also included GLI) and disrupting the SMARCA2 locus on 9p24, respectively. The resultant chimeric fusion protein is predicted to lack the SMARCA2 DNA-binding domains while retaining the DDIT3 leucine zipper dimerization domain. These findings indicate an unusual and complex rearrangement, leading to the recruitment of a novel DDIT3 partner gene. Moreover, they emphasize that the functional aspects of myxoid liposarcoma fusion genes depend on the retention of the key DDIT3 domain. Finally, this case illustrates how classic morphology can appropriately trigger reflex molecular analyses, which may, in turn, uncover novel fusion genes or other molecular alterations.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".