Vemurafenib in the French temporary authorization for use metastatic melanoma cohort
Bibliographic record
Abstract
Vemurafenib, a selective BRAF inhibitor, has recently shown an improved overall survival (OS) in metastatic melanoma with V600E mutation in phase 2 and 3 trials. Patients with BRAF V600E metastatic melanoma received vemurafenib orally, in the French temporary authorization for use program from April 2011 to April 2012. We analysed the clinical benefit and safety of vemurafenib. Secondary analyses included the impact of brain metastases on median OS and progression-free survival (PFS). Fifty patients were enrolled, of whom 20% had stage IIIC and 80% stage IV disease. The majority were men (58%), with a median age of 58 years (51-69). Forty-three patients had an Eastern Cooperative Oncology Group performance status of 0 or 1 (86%). Twenty patients had brain metastases (40%). Overall response rate was 53%. Complete response was achieved in five patients (10%), partial response in 21 patients (43%) and stable disease in seven patients (14%). Median OS was 7.5 months (95% confidence interval 5.6-12.7) and PFS was 3.6 months (95% confidence interval 2.9-5.9). Patients with brain metastasis had a response rate of 50% (nine partial response, one complete response), and median OS and PFS were, respectively, 4.3 and 3.1 months. Common adverse events were fatigue, arthralgia and cutaneous side effects. Sixteen per cent developed squamous cell carcinoma. Grade 3/4 was observed in 11 patients (22%). Six per cent required temporary discontinuation and/or dose reduction because of toxic effects. This study confirms the considerable clinical benefit of vemurafenib for patients with brain metastasis, with manageable toxicity.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".