Tislelizumab versus Sorafenib in First-Line Treatment of Unresectable Hepatocellular Carcinoma: Impact on Health-Related Quality of Life in RATIONALE-301 Study
Bibliographic record
Abstract
Introduction: RATIONALE-301 (NCT03412773) was a global, phase 3 study comparing the efficacy and safety of tislelizumab with sorafenib as first-line (1L) treatment in adult patients with unresectable hepatocellular carcinoma (HCC) that met its primary endpoint of noninferiority in overall survival (OS). This analysis compared health-related quality-of-life (HRQOL) outcomes between the arms. Methods: = 332). HRQOL was assessed using EORTC QLQ-C30, QLQ-HCC18, and EQ-5D-5L. At cycles 4 and 6, a mixed model for repeated measures was performed using key-prespecified patient-reported outcome (PRO) endpoints of the QLQ-C30 and the QLQ-HCC18. Time to deterioration was analyzed with the Kaplan-Meier method using the PRO endpoints. Results: At cycles 4 and 6, patients in the tislelizumab arm had better HRQOL outcomes than the patients in the sorafenib arm per mean-change difference in GHS/QOL, QLQ-C30 physical functioning and fatigue, and QLQ-HCC18 symptom index; however, no differences for pain were observed. Patients in the tislelizumab arm had lower risk of deterioration in GHS/QOL (HR: 0.68; 95% CI: 0.49-0.94), QLQ-C30 physical functioning (HR: 0.45; 95% CI: 0.32-0.63) and fatigue (HR: 0.47; 95% CI: 0.36-0.61), QLQ-HCC18 symptom index (HR: 0.52; 95% CI: 0.34-0.81), and HCC-specific fatigue (HR: 0.59; 95% CI: 0.45-0.79). For pain, both arms had similar risk of deterioration (HR: 0.78; 95% CI: 0.56-1.09). At cycles 4 and 6, patients in the tislelizumab arm maintained in EQ-5D-5L visual analog scale, whereas scores decreased for the patients in the sorafenib arm. Conclusion: Patients with 1L HCC treated with tislelizumab had favorable HRQOL outcomes compared with patients treated with sorafenib, particularly in fatigue and physical functioning. These results, along with favorable safety profile, better response rate, and OS noninferiority, support tislelizumab as a potential 1L treatment option for unresectable HCC.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| 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 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".