Should we abandon hormonal therapy in endometrial cancer? Outcomes of recurrent and metastatic endometrial cancer treated with systemic progestins
Bibliographic record
Abstract
PURPOSE: The objective of this study is to determine primary survival endpoints in women with recurrent and metastatic endometrial carcinoma (RMEC) treated with progestins. METHODS: A retrospective chart review was conducted at The Ottawa Hospital using electronic medical records. Inclusion criteria were a diagnosis of RMEC between 2000 and 2019, endometrioid histology, and ≥one line of progestin treatment. Progression-free survival (PFS) and overall survival (OS) were estimated using the Kaplan-Meier method. RESULTS: Of 2342 cases reviewed, 74 met inclusion criteria. Sixty-six (88.0%) patients received megestrol acetate and 9 (12.0%) received a progestin alternative. The distribution of tumors by grade was: 1: 25 (33.3%), 2: 30 (40.0%), and 3: 20 (26.7%). The PFS and OS for the entire study sample was 14.3 months (95% CI 6.2-17.9) and 23.3 months (14.8-36.8), respectively. The PFS for patients with Grade 1-2 RMEC was 15.7 months (8.0, 19.5), compared to 5.0 months (3.0, 23.0) with Grade 3 disease. The OS for patients with Grade 1-2 versus Grade 3, was 25.9 months (15.3, 40.3) versus 12.5 months (5.7, 35.9), respectively. Thirty-four (45.9%) and 40 (54.1%) patients were treated with 0 and ≥1 line of chemotherapy. The PFS for chemotherapy-naïve patients was 17.9 months (14.3, 27.0), versus 6.2 months (3.9, 14.8) following ≥1 line of treatment. The OS was 29.1 months (17.9, 61.1) for chemotherapy-naïve patients versus 23.0 months (10.5, 37.6) for patients previously exposed. CONCLUSIONS: This real-world data on RMEC suggests there is a role for progestins in select subgroups of women. The PFS for chemotherapy-naïve patients was 17.9 months (14.3, 27.0), versus 6.2 months (3.9, 14.8) following ≥1 line of treatment. The OS was 29.1 months (17.9, 61.1) for chemotherapy-OS was 29.1 months (17.9, 61.1) for chemotherapy-naïve patients versus 23.0 months (10.5, 37.6) for patients previously exposed.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| 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 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".