A phase II study of ENMD-2076 in advanced soft tissue sarcoma (STS)
Bibliographic record
Abstract
ENMD-2076, an aurora-A kinase inhibitor with anti-angiogenic properties, has shown activity in solid and hematologic malignancies. We investigated oral ENMD-2076 in an open-label, single-arm phase II study using 275 mg daily on a 28-day cycle in patients with advanced soft-tissue sarcomas (STS) receiving ≤1 line of prior therapy. Primary endpoint was 6-month progression-free survival (PFS) with ≤15% indicating no interest, and ≥40% indicating further interest in ENMD-2076. Secondary/exploratory endpoints included clinical benefit (CBR ≥6-months) and objective response (ORR) rates, PFS, OS, safety, and whole-exome sequencing (WES) for potentially associated biomarkers. Overall, 23/25 (92%) patients receiving ENMD-2076 were efficacy evaluable with median follow-up of 14 months (range 2.2-39.5). Common subtypes were leiomyosarcoma (n = 10), undifferentiated pleomorphic sarcoma (n = 3), angiosarcoma (n = 3), and alveolar soft-part sarcoma (n = 3). The 6-month PFS was 20.8% (95% CI:3.2-38.4) with a CBR of 17% (95% CI:1.55-33.23) and ORR of 9% (95% CI:3.08-20.46). Median PFS was 2.5 months (95% CI:2.20-4.47) and OS was 14.1 months (95% CI:6.07-20.07). The most common high-grade treatment-related adverse event was hypertension (60%). WES identified PTPRB mutations in 3/4 patients (p = 0.018) benefiting from ENMD-2076. Although this study failed to meet its primary endpoint, occasional responses and prolonged stable disease was noted. ENMD-2076 evaluation in PTPRB mutated tumors and/or angiosarcoma is warranted.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".