A phase II study of GW786034 (pazopanib) in patients with recurrent or metastatic invasive breast carcinoma: Results after completion of stage I: A trial of the Princess Margaret Hospital Phase II Consortium
Bibliographic record
Abstract
1133 Background: Pazopanib, an oral small molecule inhibitor of VEGFR, PDGFR, and KIT, has demonstrated activity in phase I, with a recommended phase II dose of 800 mg/d (Hurwitz H et al, J Clin Oncol. 2005;23[16 suppl]:3012.1). We evaluated the activity of single agent pazopanib in recurrent or metastatic breast cancer (MBC). Methods: In this 2-stage design, patients with recurrent or MBC received pazopanib 800 mg/d. The primary endpoint was objective response rate (ORR) of 20%. Response in 3 out of 18 patients was required to go to stage 2. Treatment was continued until progression. Results: 21 patients entered stage 1; 67% were ER positive and all were HER-2-negative. Prior lines of chemotherapy were 1 in 76% and 2 in 14%. Of the 19 evaluable patients, 2 patients remain on treatment. 14 (74%) stopped due to progressive disease, 2 (10%) due to adverse events, and 1 (5%) due to patient request. Best response was partial response (PR) in 1 (5%), stable disease (SD) in 11 (58%), and progressive disease in 7 (37%). Clinical benefit rate (CR, PR, or SD for ≥ 6 months) was 26%. Median time to progression (TTP) was 3.7 months (95% C.I. 1.7 months - not reached). 9 out of 18 patients (50%) with measurable target lesions had some decrease in target lesion size. Estimated progression-free survival at 3 months was 55%, and 28% at 6 months. Adverse events were grade 3/4 elevations in AST (14%) and ALT (10%), and grade 3 hypertension and neutropenia (14% each). Other common events were grade 1/2 lymphopenia, neutropenia, diarrhea, fatigue, skin hypopigmentation, hypertension, nausea, vomiting, anorexia, and headache. Conclusions: Pazopanib is well tolerated and demonstrates activity in pretreated breast cancer. While the target ORR of 20% has not been met, rates of SD and TTP are comparable to other active agents in this setting, and therefore pazopanib may be an interesting agent for future studies in breast cancer. [Table: see text]
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| 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".