FOXL2 Mutation is Absent in Uterine Tumors Resembling Ovarian Sex Cord Tumors
Bibliographic record
Abstract
Uterine tumors resembling ovarian sex cord tumors (UTROSCTs) are rare uterine neoplasms characterized by pure or predominant epithelial-like patterns that share morphologic, immunohistochemical, and ultrastructural features with ovarian sex cord tumors. FOXL2 immunoexpression has recently been found in sex cord stromal tumors of the ovary, including granulosa cell tumors, Sertoli-Leydig cell tumors, thecomas, and fibromas, but mutations have been identified mostly in adult granulosa cell tumors. In this study, we investigated FOXL2 mutation status and protein expression in UTROSCTs. Mutational analysis using a TaqMan real-time polymerase chain reaction-based allelic discrimination assay was performed on formalin-fixed, paraffin-embedded tissue from 15 UTROSCTs. FOXL2 mutation was absent in all tumors. FOXL2 immunoexpression was tested in all 15 tumors. Intensity of staining was scored as weak, moderate, or strong. Percentage of tumor cells with nuclear staining was recorded as follows: 0 (negative); 1+ (1% to 25%); 2+ (26% to 50%); 3+ (51% to 75%); and 4+ (76% to 100%). Nuclear expression of FOXL2 was present in 6 of 15 (40%) UTROSCTs. One tumor demonstrated strong 4+ staining. Moderate expression was seen in 3 cases, including 2 and 1 showing 2+ and 1+ staining, respectively. Weak expression was observed in 2 tumors demonstrating 3+ and 1+ staining. Although UTROSCTs show overlapping morphologic, immunohistochemical, and ultrastructural features with sex cord stromal tumors of the ovary, they do not harbor FOXL2 mutation despite focal immunoreactivity in a subset of these tumors.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".