5-Year Outcomes with Cobimetinib plus Vemurafenib in <i>BRAF</i> V600 Mutation–Positive Advanced Melanoma: Extended Follow-up of the coBRIM Study
Bibliographic record
Abstract
PURPOSE: The randomized phase III coBRIM study (NCT01689519) demonstrated improved progression-free survival (PFS) and overall survival (OS) with addition of cobimetinib to vemurafenib compared with vemurafenib in patients with previously untreated BRAFV600 mutation-positive advanced melanoma. We report long-term follow-up of coBRIM, with at least 5 years since the last patient was randomized. PATIENTS AND METHODS: Eligible patients were randomized 1:1 to receive either oral cobimetinib (60 mg once daily on days 1-21 in each 28-day cycle) or placebo in combination with oral vemurafenib (960 mg twice daily). RESULTS: 495 patients were randomized to cobimetinib plus vemurafenib (n = 247) or placebo plus vemurafenib (n = 248). Median follow-up was 21.2 months for cobimetinib plus vemurafenib and 16.6 months for placebo plus vemurafenib. Median OS was 22.5 months (95% CI, 20.3-28.8) with cobimetinib plus vemurafenib and 17.4 months (95% CI, 15.0-19.8) with placebo plus vemurafenib; 5-year OS rates were 31% and 26%, respectively. Median PFS was 12.6 months (95% CI, 9.5-14.8) with cobimetinib plus vemurafenib and 7.2 months (95% CI, 5.6-7.5) with placebo plus vemurafenib; 5-year PFS rates were 14% and 10%, respectively. OS and PFS were longest in patients with normal baseline lactate dehydrogenase levels and low tumor burden, and in those achieving complete response. The safety profile remained consistent with previously published reports. CONCLUSIONS: Extended follow-up of coBRIM confirms the long-term clinical benefit and safety profile of cobimetinib plus vemurafenib compared with vemurafenib monotherapy in patients with BRAFV600 mutation-positive advanced melanoma.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".