Frequent Mismatch Repair Protein Deficiency in Mixed Endometrioid and Clear Cell Carcinoma of the Endometrium
Bibliographic record
Abstract
Mixed endometrioid and clear cell carcinoma of the endometrium refers to a scenario in which the tumor exhibits histologic features of both endometrioid and clear cell carcinoma. We observed a tendency for these tumors to occur in a mismatch repair (MMR) protein-deficient molecular background in a prior study that examined a small cohort of mixed-type endometrial carcinomas. The aim of this study was to determine the rate of MMR protein deficiency in a larger series of endometrial mixed endometrioid and clear cell carcinomas, through a retrospective survey of MLH1, PMS2, MSH2, and MSH6 expression in such tumors at 5 tertiary centers. A total of 41 cases were identified and 27 (66%) tumors demonstrated MMR protein deficiency with a comparable frequency across the contributing centers (ranging from 56% to 83%). Among the MMR protein-deficient cases, 59% showed concurrent MLH1 and PMS2 loss, 33% showed concurrent MSH2 and MSH6 loss, and 4% showed isolated PMS2 or MSH6 loss. Compared with a previously published series of 15 pure endometrial clear cell carcinomas, mixed endometrioid and clear cell carcinomas are associated with significantly better disease-specific survival (P=0.02). In summary, endometrial carcinomas with mixed endometrioid and clear cell histology are frequently MMR protein deficient. This finding has implications both for our understanding of its tumor biology and for the identification of patients with potential Lynch syndrome.
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".