Phase 2 study of eribulin in patients with previously treated advanced or metastatic soft tissue sarcoma†
Bibliographic record
Abstract
Objective: Eribulin, a microtubule dynamics inhibitor, is approved for the treatment of patients with breast cancer and soft tissue sarcoma. We investigated the efficacy and safety of eribulin in Japanese patients with soft tissue sarcoma. Methods: This open-label, multicenter, nonrandomized, Phase 2 study enrolled Japanese patients with measurable, advanced/metastatic soft tissue sarcoma of high/intermediate grade and ≥1 prior chemotherapy for advanced disease. Patients received eribulin mesilate 1.4 mg/m2 intravenously over 2–5 minutes on Days 1 and 8 of a 21-day cycle. The primary endpoint was progression-free rate at 12 weeks. Secondary endpoints included overall survival, progression-free survival and safety. Efficacy analyses were stratified by histology (liposarcoma or leiomyosarcoma, and other subtypes). Results: Overall, 52 patients were enrolled and 51 patients were treated. Patients with liposarcoma/leiomyosarcoma (n = 35) had similar characteristics to those with other subtypes (n = 16), except for a higher proportion of women (63% vs 38%, respectively) and patients with Eastern Cooperative Oncology Group performance status 0 (57% vs 44%). Progression-free rate at 12 weeks was 60% in liposarcoma/leiomyosarcoma patients, 31% in other subtypes and 51% overall. Median progression-free survival was 5.5 months in liposarcoma/leiomyosarcoma patients, 2.0 months in other subtypes and 4.1 months overall. Median overall survival was 17.0 months in liposarcoma/leiomyosarcoma patients, 7.6 months in other subtypes and 13.2 months overall. The most common Grade 3–4 adverse events were neutropenia (86%), leukopenia (75%), lymphopenia (33%), anemia (14%) and febrile neutropenia (8%). Conclusion: Eribulin showed clinical activity with a manageable safety profile in previously treated Japanese patients with advanced/metastatic soft tissue sarcoma.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 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 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".