p53, Mismatch Repair Protein, and POLE Abnormalities in Ovarian Clear Cell Carcinoma
Bibliographic record
Abstract
The PROMISE diagnostic algorithm, which uses p53, mismatch repair (MMR) protein immunohistochemistry, and DNA polymerase ε (POLE) exonuclease domain mutation testing, is a reliable surrogate of the molecular group in endometrial carcinoma. Its prognostic value has been validated in endometrial carcinoma and ovarian endometrioid carcinoma. Moreover, a similar prognostic grouping has been recently documented in endometrial clear cell carcinoma. Thus, we aimed to explore the role of these markers in ovarian clear cell carcinoma, another endometriosis-associated malignancy. A total of 90 cases were identified and confirmed after secondary review. Immunohistochemistry for p53, MLH1, MSH2, MSH6, and PMS2 was performed in formalin-fixed, paraffin-embedded tissue. POLE mutational analysis was performed in 47 cases. Results were correlated with clinicopathologic variables including disease-free survival (DFS), overall survival, and disease-specific survival (DSS). Endometriosis was found in 67 (74%) cases. Six (7%) tumors were p53 abnormal, 82 (91%) were p53 normal, and 2 (2%) tumors had MMR deficiency (1 MSH6 loss and 1 MSH2/6 loss; both were p53 normal). Several POLE variants of unknown significance were detected, but no pathogenic mutations. The mean follow-up period was 43 months (median: 34, range: 1 to 189). Abnormal p53 status was associated with advanced Federation of Gynecology and Obstetrics stage, lymph node metastases, DFS and DSS (P<0.05, Fisher exact test). In univariate analysis, abnormal p53 and positive lymph node status had worse DFS, whereas bilaterality, surface involvement, and advanced stage were associated with worse DFS, overall survival and DSS (P<0.05, Cox regression). On multivariate analysis, only stage retained statistical association with survival. Using a molecular-based approach designed for endometrial carcinoma, most ovarian clear cell carcinomas fall into the copy-number-low molecular subgroup. However, a small but important subset has an abnormal p53 expression (copy-number-high group). This subset is associated with adverse features including extrapelvic disease, nodal metastases, and recurrence similar to endometrial and ovarian endometrioid cancer. Thus, testing for this marker has potential prognostic significance. The role of other markers in the PROMISE algorithm remains to be elucidated, as we found a low frequency of MMR abnormalities and no pathogenic POLE mutations in our series.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 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".