A multicenter open-label phase II study of the efficacy and safety of ganitumab (AMG 479), a fully human monoclonal antibody against insulin-like growth factor type 1 receptor (IGF-1R) as second-line therapy in patients with recurrent platinum-sensitive ovarian cancer.
Bibliographic record
Abstract
5515 Background: IGF signaling has been implicated in the pathogenesis and progression of ovarian cancer (OC). Single agent activity and safety of ganitumab (AMG 479), a fully human monoclonal antibody against IGF-1R that blocks binding of IGF1 and IGF2, were evaluated in asymptomatic patients with platinum-sensitive recurrent OC. Differential expression of IGF-1R pathway genes in OC underscores the potential of developing predictive biomarkers for patient selection. Methods: Pts with CA125 progression (GCIG criteria) and/or measurable disease per RECIST failing primary platinum-based therapy received 18 mg/kg of ganitumab q3w. Objective response rate per RECIST or CA125 criteria was the primary end point (complete response, CR; partial response, PR). Secondary end points included, progression-free survival (PFS) and safety. Tumor tissue was collected for gene expression profiling (Nanostring) and sequencing. Results: From 02/2009 to 05/2010, 61 pts were accrued from 20 centers. Pt characteristics were: Serous (77%), median platinum-free interval (11 months), measurable disease (74%), and ECOG performance status 0 (67%). According to CA125 criteria median PFS was 6.8 months (95%CI, 2.8-10.8); 2 CR (3.4%) 2 PR (3.4%), and 38 stable disease (SD, 64%) were observed. When using RECIST criteria, median PFS was 2.1 months (95%CI, 2.0-2.8), 2 PR (3.4%) and 22 SD (38%) were observed. Toxicity has been mild; grade 2 hyperglycemia was seen in 5 pts (8.2%). Grade 3 related events included hearing loss (1), nausea (1), asthenia (2), fatigue (1), and hypersensitivity (5). There were no grade 4 or 5 treatment-related events. Efficacy is being correlated with gene expression profiles and mutational data. Conclusions: IGF-1R inhibition with ganitumab was well tolerated and demonstrated modest single-agent activity in unselected patients with platinum-sensitive recurrent OC. However, encouraging activity was seen in a subset of patients. Ongoing predictive biomarker analyses may facilitate patient selection. Clinical trial information: NCT00719212.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".