<i>VIM::KMT2A</i>‐rearranged sarcomas: A report of two new cases confirming an entity with distinct histologic features
Bibliographic record
Abstract
The recently described KMT2A-rearranged sarcomas are rare emerging entities where the KMT2A gene fuses with YAP1 and, less commonly, VIM, resulting in two distinct morphologies. Unlike the sclerosing epithelioid fibrosarcoma-like features that characterize tumors with KMT2A::YAP1 fusions, VIM::KMT2A-rearranged sarcomas are more uniformly cellular and lack the extensively sclerotic background seen in the former. Most tumors behave aggressively with metastases on presentation. Here, we describe the clinicopathologic and molecular findings in two additional cases of VIM::KMT2A rearranged sarcomas that arose in the deep soft tissues of adult males. Both tumors were composed of hypercellular fascicles of uniform spindle cells with pale eosinophilic cytoplasm and ovoid nuclei. The stroma had scant delicate collagen with occasional thin-walled ectatic blood vessels and perivascular hyalinization. Immunohistochemical studies showed an unspecific staining pattern with diffuse positivity for CD99 and BCL2 and variable staining for S100 protein. RNA-sequencing detected the presence of VIM::KMT2A gene fusion involving VIM exon 4 and KMT2A exon 2 in both cases. Sarcomas with VIM::KMT2A gene fusions seem to have sufficient morphologic features to warrant distinction from KMT2A-rearranged sarcomas with YAP1 partner. Without the benefit of molecular testing, these tumors pose a diagnostic challenge due to their lack of specific immunohistochemical profile and great morphologic overlap with other monomorphic spindle cell neoplasms.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".