Uterine Sarcoma With FGFR1-TACC1 Gene Fusion: A Case Report and Review of the Literature
Bibliographic record
Abstract
With the growing availability of RNA sequencing technology in the pathology laboratory, new gene fusion-associated malignancies are increasingly being characterized. In this article, we describe the second ever reported case of a uterine sarcoma harboring a FGFR1-TACC1 gene fusion. The patient, a 53-yr-old perimenopausal woman, was found to have a 6 cm mass spanning the lower uterine segment and endocervix. Histologically, this was a spindle cell neoplasm with coagulative necrosis, moderate cytologic atypia, and increased mitotic activity. By immunohistochemistry, the neoplastic cells coexpressed CD34 and S100, and lacked smooth muscle marker expression. RNA sequencing revealed the presence of a FGFR1-TACC1 gene fusion. This report provides further evidence to suggest that FGFR1-TACC1 may be a recurrent fusion in a subset of uterine sarcomas. RNA sequencing using a panel that includes FGFR-TACC family fusions should be considered for uterine sarcomas that do not fit conventional diagnostic criteria, particularly as tumors with these fusions may be amenable to targeted therapy.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".