Undifferentiated and Dedifferentiated Endometrial Carcinomas With POLE Exonuclease Domain Mutations Have a Favorable Prognosis
Bibliographic record
Abstract
POLE exonuclease domain mutations have recently been described in undifferentiated endometrial carcinoma but, because of the rarity of this aggressive type of endometrial cancer, their prognostic significance is unknown. We have analyzed the immunophenotype (ARID1A, MLH1, PMS2, MSH2, MSH6, p53, β-catenin, and SMARCB1) and mutational status (POLE, PIK3CA, and PTEN) of 21 undifferentiated carcinomas (8 undifferentiated and 13 dedifferentiated carcinomas). Loss of ARID1A expression was observed in 9 of 19 cases (47%), loss of expression of at least 1 DNA mismatch repair protein in 7 (7/21; 33%), and p53 immunoreaction was aberrant (mutated/inactivated) in 11 cases (11/21; 52%). All tumors were negative for β-catenin. Normal nuclear SMARCB1 (INI1) staining was found in all but 1 dedifferentiated case. Two undifferentiated and 7 dedifferentiated carcinomas showed POLE exonuclease domain mutations (9/21; 42%). PIK3CA mutations occurred in six tumors (6/21; 28%) (2 undifferentiated and 4 dedifferentiated carcinomas). PTEN mutations were found in 7 of 15 cases (47%) (4 undifferentiated and 3 dedifferentiated carcinomas). POLE-mutated undifferentiated and dedifferentiated endometrial carcinomas were more frequently stage I tumors than similar carcinomas lacking exonuclease domain mutations (7/9; 78% vs. 3/12; 25%; P=0.023) and patients had significantly better outcome (disease-specific survival) than those without POLE exonuclease domain mutations (P=0.02). Determination of the POLE mutation status is important for the management of these patients.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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) | 0.001 | 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".