Advanced cutaneous angiosarcoma with a <i>TRIM24::BRAF</i> gene fusion treated with trametinib
Bibliographic record
Abstract
A postmenopausal woman presented with a painful, erythematous rash affecting her head and neck. CT imaging revealed diffuse areas of skin thickening affecting her face and neck, and necrotic lymphadenopathy. Additional imaging revealed several osteolytic bone lesions. Biopsy reported a malignant vascular neoplasm, suggestive of angiosarcoma. Molecular analysis reported a TRIM24::BRAF gene fusion. After progression on first-line paclitaxel, the MEK inhibitor trametinib was administered, resulting in an excellent clinical and radiological response. This case reports a novel gene fusion, to our knowledge, the first reported in sarcoma, and highlights the utility and importance of molecular profiling in obtaining access to a treatment that may not otherwise be considered in standard site-specific therapeutic regimens, where therapeutic options may be limited.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| 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".