Ovarian Sex Cord-Stromal Tumors in Patients With Probable or Confirmed Germline DICER1 Mutations
Bibliographic record
Abstract
The DICER1 gene encodes an endoribonuclease involved in the production of mature microRNAs which regulates gene expression through several mechanisms. Recent studies have demonstrated somatic mutations in DICER1 in approximately 60% of ovarian Sertoli-Leydig cell tumors. Furthermore, patients with germline mutations in DICER1 are predisposed to developing a range of rare neoplasms including ovarian sex cord-stromal tumors most of which have been classified as Sertoli-Leydig cell tumor. However, the histologic features of these tumors have not been reported in detail. We describe the morphologic and immunophenotypic findings of 4 sex cord-stromal tumors arising in patients with proven or likely germline DICER1 mutations including 3 individuals from 1 family. Three tumors showed similar appearances characterized by marked architectural and cytologic heterogeneity including sertoliform, juvenile granulosa cell tumor-like, and unclassifiable elements. The remaining case mainly showed heterologous mucinous epithelial and neuroendocrine differentiation with only a minor intermediate-grade Sertoli cell component. This tumor and one of the 3 former cases arose in related patients with identical germline DICER1 mutations indicating that additional factors influence tumor morphology. All tumors were positive for steroidogenic factor-1 and FOXL2 on immunohistochemical analysis, whereas there was more variable expression of inhibin, calretinin, CD56, CD99, and hormone receptors. The present small series suggests that some ovarian Sertoli-Leydig cell tumor associated with germline DICER1 mutations may show distinctive histologic features in particular admixed Sertoli cell and juvenile granulosa cell tumor-like features. Larger studies are required to establish whether heterologous elements are also a more common feature of these tumors.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".