Atezolizumab (A) + cobimetinib (C) in metastatic melanoma (mel): Updated safety and clinical activity.
Bibliographic record
Abstract
3057 Background: A, an anti–programmed death-ligand 1 (PD-L1) monoclonal antibody, inhibits PD-L1/programmed death-1 (PD-1) and PD-L1/B7.1 binding and shows promising clinical activity in patients (pts) with cutaneous mel (objective response rate [ORR] 33%; median progression-free survival [mPFS] 5.5 months; Hodi et al SMR 2014). C promotes intratumoral T-cell infiltration, major histocompatibility complex 1 upregulation, and PD-L1 expression via targeted MEK inhibition in preclinical models (Ebert et al Immunity 2016) and tumor biopsy specimens (Bendell et al ASCO 2016). Therefore, clinical benefits may be enhanced by combining A + C vs A. This Phase Ib dose-escalation and -expansion study (NCT01988896) suggested higher ORR/disease control rate (DCR, ORR + stable disease) and longer PFS may be achieved with A + C vs A or C alone in mel. We present updated safety and efficacy data. Methods: Oral C, escalated 20 mg→40 mg→60 mg, was given qd for 21 days followed by 7 days off. Intravenous (IV) A was given at 800 mg q2w. Tumor-specific expansion cohorts were enrolled at maximum tolerated doses (C 60 mg/d 21/7; A 800 mg IV q2w). No prior anti–PD-L1 or –PD-1 therapy was allowed. Results: Data cut-off was Oct 12, 2016; 22 patients were safety-evaluable (two ocular, 20 non-ocular [ten each BRAF-mutant and -wild-type]). Median safety follow-up was 14.4 months (range 2.1–23.2). Adverse events (AEs) were experienced in all pts (diarrhea [20 pts, 90.9%] and rash [15 pts, 68.2%] were most common); related grade (G)3–4 AEs in 54.5% (diarrhea [three pts, 13.6%] and dermatitis acneiform [two pts, 9.1%] were most common; no related G5 AEs); related serious AEs in 13.6%. All were manageable. One pt discontinued A + C due to an AE. RECIST v1.1-confirmed ORR was 45.0% in pts with non-ocular mel (median duration of response was not reached); DCR was 75.0%; mPFS was 12.0 months (95% CI 2.8–not evaluable). ORR was similar for pts with BRAF-mutant and wild-type mel. Conclusions: Updated results confirm previous findings that suggest higher ORR/DCR and longer PFS may be achieved with A + C vs A or C monotherapy for mel. Together with biomarker data from other cohorts, our data suggest that the immune contexture may be altered by C, enhancing A activity. Clinical trial information: NCT01988896.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.002 | 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".