Updated efficacy and safety of KEYNOTE-224: a phase II study of pembrolizumab in patients with advanced hepatocellular carcinoma previously treated with sorafenib
Bibliographic record
Abstract
OBJECTIVE: Pembrolizumab, a PD-1 inhibitor, demonstrated anti-tumour activity and tolerability in patients treated with sorafenib and with advanced hepatocellular carcinoma in KEYNOTE-224. Longer-term efficacy and safety after ∼2.5 years of additional follow-up are reported. PATIENTS AND METHODS: Adults with confirmed hepatocellular carcinoma who experienced progression after or intolerance to sorafenib treatment received pembrolizumab 200 mg every 3 weeks for ≤35 cycles or until confirmed progression, unacceptable toxicity, withdrawal of consent or investigator decision. The primary end-point was objective response rate assessed by blinded independent central review per Response Evaluation Criteria in Solid Tumours v1.1. The secondary end-points included duration of response, disease control rate, time to progression, progression-free survival, overall survival and adverse events. RESULTS: Efficacy and safety were assessed in 104 patients. The median time from first dose to data cutoff was 45.1 months (range, 41.3-49.3). Objective response rate was 18.3% (95% CI: 11.4-27.1), and median duration of response was 21.0 months (range, 3.1 to 39.5+). Disease control rate was 61.5%, and median time to progression was 4.8 months (95% CI: 3.9-7.0). Median progression-free survival was 4.9 months (95% CI: 3.5-6.7) and median overall survival was 13.2 months (95% CI: 9.7-15.3). Of 104 patients, 76 (73.1%) patients reported treatment-related adverse events; most were low grade in severity (grade 3-4, n = 26 [25.0%]; grade 5, n = 1 [1.0%]). Immune-mediated hepatitis occurred in 3 patients (all grade 3). No viral-induced hepatitis flares occurred. CONCLUSIONS: After ∼2.5 years of additional follow-up, pembrolizumab continued to provide durable anti-tumour activity and no new safety concerns were identified. GOV IDENTIFIER: NCT02702414.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".