A phase 1b study of the ERK inhibitor MK-8353 plus pembrolizumab in patients with advanced solid tumors
Bibliographic record
Abstract
Combining a checkpoint inhibitor with an inhibitor of extracellular signal-regulated kinase (ERK) may result in synergistic antitumor activity. We evaluated MK-8353, an ERK1 and ERK2 inhibitor, plus pembrolizumab in a phase 1b study in patients with advanced solid tumors. This open-label, nonrandomized, dose-escalation study (NCT02972034) enrolled adults with advanced solid tumors previously treated with 1‒5 prior lines of therapy. MK-8353 was administered orally in combination with pembrolizumab 200 mg every 3 weeks as follows: twice daily (arm A; MK-8353 50‒350 mg), once daily (arm B; MK-8353 50‒600 mg), or once daily every other week (arm C; MK-8353 50‒300 mg). The primary objective was evaluation of safety via occurrence of dose-limiting toxicities (DLTs). A secondary objective was objective response by RECIST v1.1 per investigator assessment. Among 110 evaluable patients (arm A, n = 22; arm B, n = 50; arm C, n = 38), median age was 58.0 (range, 35‒79) years and 50% had received 1 or 2 prior lines of therapy. DLTs occurred in 19 patients (n = 6 [27%], n = 8 [16%], and n = 5 [13%], respectively); the most frequent was grade 3 maculopapular rash (n = 15). Grade 3/4 treatment-related AEs occurred in 35% of patients; the most common were maculopapular rash (13%) and increased lipase (5%); none were grade 5. Eight patients (7%) attained an objective response (arm B, n = 7 [complete response, n = 1; partial response, n = 6]; arm C, n = 1 [complete response]). In conclusion, MK-8353 once daily plus pembrolizumab could be administered with a manageable toxicity profile but had modest antitumor activity in patients with advanced solid tumors.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".