Use of doxorubicin and trabectedin in low-grade endometrial stromal sarcoma: A case report
Bibliographic record
Abstract
Background: Low-grade endometrial stromal sarcoma (LG-ESS) is the most common type of endometrial stromal malignancy, yet treatment options are limited, particularly in advanced or recurrent cases that are resistant to hormonal therapy. Case Presentation: We describe a 48-year-old patient with recurrent stage IVB LG-ESS who was treated with a combination of doxorubicin and trabectedin, followed by trabectedin maintenance; a protocol extrapolated from leiomyosarcoma treatment. Following failure to hormonal therapy, this regimen demonstrated disease stabilization, particularly in pelvic metastases. Conclusion: Our results highlight the potential role of this chemotherapy combination in hormonal therapy-resistant LG-ESS, a malignancy with limited systemic therapeutic options. This is the first reported case of LG-ESS achieving prolonged stable disease with doxorubicin-trabectedin therapy and trabectedin maintenance. Given the manageable toxicity profile and encouraging tumor control, further studies should explore its potential role in LG-ESS management.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 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".