Nivolumab plus ipilimumab combination therapy in patients with advanced hepatocellular carcinoma previously treated with sorafenib: 5-year results from CheckMate 040
Bibliographic record
Abstract
BACKGROUND: Nivolumab plus ipilimumab demonstrated promising clinical activity and durable responses in sorafenib-treated patients with advanced hepatocellular carcinoma (HCC) in the CheckMate 040 study at 30.7-month median follow-up. Here, we present 5-year results from this cohort. PATIENTS AND METHODS: Patients were randomized 1 : 1 : 1 to arm A [nivolumab 1 mg/kg plus ipilimumab 3 mg/kg Q3W (four doses)] or arm B [nivolumab 3 mg/kg plus ipilimumab 1 mg/kg Q3W (four doses)], each followed by nivolumab 240 mg Q2W, or arm C (nivolumab 3 mg/kg Q2W plus ipilimumab 1 mg/kg Q6W). The primary objectives were safety, tolerability, investigator-assessed objective response rate (ORR), and duration of response (DOR) per RECIST version 1.1. RESULTS: A total of 148 patients were randomized across treatment arms. At 60-month minimum follow-up (62.6-month median follow-up), the ORR was 34% (n = 17), 27% (n = 13), and 29% (n = 14) in arms A, B, and C, respectively. The median DOR was 51.2 months [95% confidence interval (CI) 12.6 months-not estimable (NE)], 15.2 months (95% CI 7.1 months-NE), and 21.7 months (95% CI 4.2 months-NE), respectively. The median overall survival (OS) was 22.2 months (34/50; 95% CI 9.4-54.8 months) in arm A, 12.5 months (38/49; 95% CI 7.6-16.4 months) in arm B, and 12.7 months (40/49; 95% CI 7.4-30.5 months) in arm C; 60-month OS rates were 29%, 19%, and 21%, respectively. In an exploratory analysis of OS by response (6-month landmark), the median OS was meaningfully longer for responders versus nonresponders for all arms. No new safety signals were identified with longer follow-up. There were no new discontinuations due to immune-mediated adverse events since the primary analysis. CONCLUSIONS: Consistent with the primary analysis, the arm A regimen of nivolumab plus ipilimumab continued to demonstrate clinically meaningful responses and long-term survival benefit, with no new safety signals in patients with advanced HCC following sorafenib treatment, further supporting its use as a second-line treatment in these patients.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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) | 0.001 | 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".