Phase II Study of Celecoxib and Trastuzumab in Metastatic Breast Cancer Patients Who Have Progressed after Prior Trastuzumab-Based Treatments
Bibliographic record
Abstract
PURPOSE: Preclinical studies demonstrate a link between overexpression of HER-2/neu and cyclooxygenase-2 (COX-2) activity. To explore the possibility that COX-2 is a therapeutic target, we conducted a phase II study of celecoxib, a selective COX-2 inhibitor, and trastuzumab in patients with HER-2/neu-overexpressing metastatic breast cancer that had progressed while receiving trastuzumab. EXPERIMENTAL DESIGN: Eligible patients had bi-dimensionally measurable or evaluable HER-2/neu-overexpressing metastatic breast cancer. HER-2/neu overexpression, defined as 2+ or 3+ by the HercepTest, was required. Patients had to have progressed despite prior trastuzumab-based therapy. Treatment consisted of celecoxib (400 mg twice daily) and trastuzumab. RESULTS: Twelve patients were enrolled (42% status post 1 regimen for metastatic disease 58% status post > 2 prior regimens (range of 2-6). Eleven patients were evaluable. There were no responses. Median duration of treatment was 9 weeks. One patient had stable disease at 3 months but progressed at 6 months. A second patient stopped treatment at 3 months because of unresolved grade 2 rash, felt to be related to celecoxib. Toxicities were generally grade 1 or 2. One patient (8%) experienced grade 3 toxicity (abdominal pain). CONCLUSIONS: Celecoxib combined with trastuzumab is well tolerated. However, this combination in patients with HER2/neu-overexpressing, trastuzumab-refractory disease, was not active.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".