A phase II study of RO4929097 (RO), a gamma-secretase inhibitor, in advanced platinum (Pt)-resistant (R) ovarian cancer (OC): A study of the PMH, Chicago, and California phase II consortia.
Bibliographic record
Abstract
5019 Background: Notch signalling pathway plays a critical role in regulating cellular differentiation, proliferation, and apoptosis in preclinical cancer models. The Notch receptor, its ligands, and down-stream effectors are over-expressed in OC. Inhibition of γ-secretase-mediated Notch cleavage is a primary focus for the development of targeted therapeutics. Methods: Women (pts) with progressive, measurable (RECIST), Pt-R OC treated with ≤ 2 chemotherapy regimens for recurrent disease were treated with oral RO at 20mg od, 3 days on/4 days off every week, q3w. The primary objective was to determine the antitumor efficacy of RO in Pt-R OC by the progression-free survival (PFS) rate at the end of 4 cycles. Secondary objectives were to assess the safety of RO and to explore molecular correlates of outcome in archival tumor tissue. A Simon two-stage design was used. The study would open to second stage accrual if > 4 pts of the first 17 accrued remain progression-free at the end of 4 cycles. Results: 39 pts have been enrolled after first-stage criteria were met. Median age was 59 (range 26-81). Median number of cycles was 2 (range 1-18). 30 (83%) pts had high-grade serous OC. 34 pts were evaluable for response. 8 pts (20%) were progression-free after 4 cycles.12 pts (35%) had stable disease, with a median duration of 3.9 months (range 2.5-12.2). Median PFS was 1.3 months (1.2-2.3). The most common drug-related adverse events (AEs) of any grade (% pts) were: nausea (36), fatigue (28), anorexia (15), hypophosphatemia (15), anemia (13), and increased alanine aminotransferase [ALT] (13). There were 5 G3-4 AEs at least possibly related with RO: increased liver transaminases (2), diarrhea (1), headache (1), and hypophosphatemia (1). Intracellular Notch (NIC) and JAG1 protein expression on high-grade serous OC were correlated with response in 17 pts. Median PFS for pts with high NIC (n=6) was 3.3 months (1.0-not reached), compared to 1.3 months (1.1-2.6) for pts with low NIC (n=11), p=0.09. Conclusions: RO has limited clinical activity in unselected Pt-R OC as a single agent. Future studies need to assess potential for cohort enrichment using NIC expression.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".