A Real-World Experience on a Chinese Population of Patients With Unresectable Hepatocellular Carcinoma Treated With Nivolumab
Bibliographic record
Abstract
Background: For unresectable hepatocellular carcinoma (HCC), nivolumab (anti-programmed death receptor-1 (PD-1)) is used as non-curative interventions. The aim of the study was to focus on the real-world experience of nivolumab applied to patients with HCC. Methods: Unresectable HCC patients receiving nivolumab treatments at Taichung Veterans General Hospital, from June 2018 to May 2020, were recruited. Exclusion criteria were Child-Pugh stage C, poor performance status, a lack of compliance or intolerable to drug treatments. The tumor radiological responses and survival outcomes of enrolled patients were collected and analyzed. Results: Among a total of 57 patients, most of them were classified as Child-Pugh stage A (70.2%) and Barcelona Clinic Liver Cancer (BCLC) stage C (66.7%). Nivolumab was given to 14 (24.6%) as the primary-line, and 43 patients (75.4%) as the secondary-line systemic treatments. The mean therapeutic duration was 6.5 months. Objective response rate (ORR) was 24.6%, and disease control rate (DCR) was 42.1%. The overall median progression-free survival (PFS) was 5.8 months (95% confidence interval (CI): 1.1 - 10.6), and overall survival (OS) was 11.5 months (95% CI: 4.3 - 17.8). Immune-related adverse event (IRAE) was 8.8%. Presence of alpha-fetoprotein (AFP) response (a decline in AFP ≥ 10% from baseline) during therapy predicted the tumor radiological response (to objective response: hazard ratio (HR): 4.89, 95% CI: 1.14 - 21.00; to disease control: HR: 4.71, 95% CI: 1.32 - 16.81). Those with tumor radiological responses showed longer PFS and OS. Conclusions: Decline in AFP during therapy has a predicting role on HCC radiological responses to nivolumab. Achieving radiological responses had better survival outcomes.
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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 | 0.001 | 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".