Microcystic Stromal Tumor
Bibliographic record
Abstract
Since our first description of the microcystic stromal tumor (MST) of the ovary, a rare and distinctive neoplasm with a definitional, usually striking microcystic pattern and a CD10+/vimentin+/inhibin-/calretinin- immunophenotype, 3 examples with β-catenin nuclear localization, and CTNNB1 mutation have been reported. We undertook a detailed immunohistochemical study and molecular analysis of CTNNB1 and FOXL2 of 15 cases of MST to further characterize this neoplasm and establish its histogenesis. Diffuse nuclear staining for FOXL2, WT-1, cyclin D1, and β-catenin was present in all tumors tested, and 12/15 were positive for steroidogenic factor-1 (SF-1). Heterozygous missense point mutations in exon 3 of CTNNB1 were detected in 8 of 14 cases, resulting in amino acid changes at codons 32, 34, 35, and 37. There was no correlation between CTNNB1 exon 3 mutation status and tumor immunophenotype. All 14 cases tested showed wild-type FOXL2. Our study establishes that MST of the ovary exhibits a characteristic FOXL2/SF-1/WT-1/cyclin D1/nuclear β-catenin-positive immunohistochemical profile, which may be useful in diagnosis and in the exclusion of histologic mimics. The presence of diffuse nuclear FOXL2 and WT-1 immunostaining in all cases and SF-1 in most supports the classification of MST within the sex cord-stromal category. Aberrant nuclear β-catenin expression, detected in all MSTs, appears to be the result of stabilizing CTNNB1 mutations in 57% of cases, providing further evidence that dysregulation of the Wnt/B-catenin pathway is involved in the tumorigenesis of MST and may involve activation of β-catenin with upregulation of cyclin D1.
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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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".