A Phase (Ph) I/II Study of CR011-VcMMAE, an Antibody-Drug Conjugate, in Patients (Pts) with Locally Advanced or Metastatic Breast Cancer (MBC).
Bibliographic record
Abstract
Abstract Background: Glycoprotein NMB (GPNMB), also known as osteoactivin, is expressed in 25-40% of breast cancers and is associated with an increased risk of recurrence. This is the first study of CR011-vcMMAE, a fully-human monoclonal anti-GPNMB antibody conjugated to the tubulin inhibitor monomethylauristatin E (MMAE), in pts with breast cancer.Methods: Eligible pts with MBC had ³ 2 prior chemotherapy regimens, including a taxane, an anthracycline, and capecitabine; and ECOG PS ≤ 2. Doses were escalated to 1.88 mg/kg IV q3w (the maximum tolerated dose [MTD] in a previous study of patients with melanoma) using a standard 3+3 design followed by a Ph II expansion at the MTD. Pts received CR011-vcMMAE until disease progression (PD) or intolerable toxicity. The primary endpoint of the Ph II study was 12-week progression free rate, defined as the proportion of patients who were alive and free of progressive disease 12 weeks from the first dose of CR011-vcMMAE. A Simon two-stage minimax design was used (p0=0.1; p1=0.3, α=β=0.1) with 16 patients in the first stage and a total of 25 pts. Secondary endpoints included objective response rate and duration of response. IHC with a goat polyclonal antibody to GPNMB was performed on pt biopsy specimens.Results: In Ph I, 14 pts were treated with CR011-vcMMAE at 1.0 mg/kg (n=3), 1.34 mg/kg (n=5), and 1.88 mg/kg (n=6). In the first 2 pts at 1.34 mg/kg, dose limiting toxicity of worsening peripheral sensory neuropathy was observed. Pts with baseline neuropathy worse than grade 1 were subsequently excluded. There were 3 partial responses, one confirmed, and 1.88 mg/kg q3w was selected for Ph II. In Ph II, 14 pts with MBC (median age 57 years, range 34 - 76) had a median of 5 prior regimens; median follow up was 6 weeks; 12 pts are ongoing (median duration 6 weeks, range 1 - 14 weeks). Two pts were progression-free at 12 weeks, therefore the study has met the criteria for advancement to the second stage. The most common AEs were rash (61%), fatigue (50%) and alopecia (50%). The most common grade 3/4 AEs were neutropenia (17%) and neuropathy (11%). IHC staining of 5 patient biopsies revealed 2 with positive GPNMB expression, including one of the patients with PR.Conclusions: CR011-vcMMAE is active and well-tolerated in heavily pretreated pts with advanced breast cancer. The Phase II study has met the criteria for advancement into the second stage, and enrollment is ongoing. Citation Information: Cancer Res 2009;69(24 Suppl):Abstract nr 6096.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".