High-grade Müllerian Adenosarcoma
Bibliographic record
Abstract
Müllerian adenosarcoma harbors low malignant potential, except in cases with myometrial invasion or sarcomatous overgrowth. The presence of a high-grade stromal component has been proposed as an important pathologic predictor of outcome. We hypothesized that high-grade adenosarcoma has distinct clinical and molecular features, distinct from low-grade adenosarcoma. We analyzed the clinicopathologic features and follow-up of 9 high-grade adenosarcomas and a control group of 9 low-grade adenosarcomas. Comprehensive genomic analysis of the high-grade group was performed targeting exons of 409 oncogenes and tumor suppressor genes. In 1 case, the high-grade and low-grade components were separately sequenced. High-grade and low-grade adenosarcomas were comparable in patient age, myometrial invasion, and stage at presentation. Sarcomatous overgrowth was observed in 2/9 (22%) low-grade and 8/9 (89%) high-grade adenosarcomas. Six of 9 (67%) patients with high-grade adenosarcoma developed rapid recurrence; 1 died of her disease. Conversely, no low-grade tumors recurred or metastasized. Sequencing of high-grade adenosarcomas revealed frequent TP53 pathway alterations, identified in 7/9 (78%) cases. p53 expression by immunohistochemistry highly correlated with mutation status. Copy number variations occurred at a mean of 28.8 per tumor; most frequently involved genes included CDK4, MDM2, GNAS, SGK1, and DICER1. High-grade adenosarcoma is an aggressive neoplasm with propensity for short-interval recurrence and metastasis. The proportion of copy number alterations is similar to that reported for adenosarcoma with sarcomatous overgrowth. However, the high frequency of TP53 abnormalities is a novel finding, indicating that high-grade adenosarcoma is a distinct subset with driver TP53 pathway alterations. p53 immunohistochemistry can be used to confirm the presence of a high-grade component. Given its aggressive potential, the presence of any high-grade component in an adenosarcoma should be reported, even in the absence of sarcomatous overgrowth.
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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 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".