Randomized phase II placebo-controlled trial of fulvestrant plus vandetanib in postmenopausal women with bone only or bone predominant, hormone receptor-positive metastatic breast cancer (MBC): OCOG Zamboney study—NCT00811369.
Bibliographic record
Abstract
574 Background: Biomarkers of bone turnover, including urine N-telopeptide (uNTx) and serum C-telopeptide (sCTx) reflect tumor-related bone breakdown and have been used as surrogate measures of response to therapy in trials. Vascular endothelial growth factor (VEGF) levels correlate with extent of bone metastases (BM). We assessed whether vandetanib, an inhibitor of VEGF, epidermal growth factor receptor and RET signalling, improved uNTx response when added to fulvestrant (F) in patients with BM. Methods: Postmenopausal patients with bone only, or bone predominant, hormone receptor positive MBC were randomised to F (500mg IM day 1, 14, 28, then monthly) with either vandetanib (100mg PO OD) (FV) or placebo (FP) until progression. The primary objective was uNTx response (>30% reduction from baseline). uNTx was collected at baseline, weekly to wk 4, at wk 12 and then every 12 wks. Secondary objectives included PFS, OS, RECIST response, pain and toxicity. Results: 61 patients were allocated to FV and 68 to FP. Median age was 59. 18% had received 1 prior chemotherapy regime and 73% prior endocrine therapy for MBC. uNTx response (n=124 pts) was 64% for FV vs. 52% for FP (p=0.20). No difference was detected between groups for median PFS; 6 months for FV vs. 4.8 months for FP, HR=0.93 (95% CI: 0.64 to 1.36). 16 patients died in FV arm vs. 21 in the FP arm, HR=0.71 (95% CI: 0.37 to 1.36). For those patients with measurable disease, clinical benefit rates were 41% and 43%, respectively, p=1.00. Serious adverse events were similar, 3.3% for FV vs. 5.9% for FP. Elevated baseline uNTx (>65 nM BCE/mmol Cr) was prognostic for PFS, HR=1.62 (95% CI: 1.08 to 2.43 and for mortality, HR= 2.4 (95% CI: 1.2 to 4.6). In an exploratory analysis uNTx was predictive of responsiveness to FV for PFS, HR=0.60 when uNTx >65 vs. HR=1.37 when uNTx <65, P = 0.025 for interaction. Conclusions: The addition of vandetanib to F did not improve biomarker response, PFS or OS compared to F alone in patients with bone predominant disease. Exploratory analyses confirmed that baseline bone turnover markers are prognostic for PFS and OS. Clinical trial information: NCT00811369.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.009 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.011 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".