Phase III HEAT Study Adding Lyso-Thermosensitive Liposomal Doxorubicin to Radiofrequency Ablation in Patients with Unresectable Hepatocellular Carcinoma Lesions
Bibliographic record
Abstract
Abstract Purpose: Lyso-thermosensitive liposomal doxorubicin (LTLD) consists of doxorubicin contained within a heat-sensitive liposome. When heated to ≥40°C, LTLD locally releases a high concentration of doxorubicin. We aimed to determine whether adding LTLD improves the efficacy of radiofrequency ablation (RFA) for hepatocellular carcinoma (HCC) lesions with a maximum diameter (dmax) of 3 to 7 cm. Experimental Design: The HEAT Study was a randomized, double-blind, dummy-controlled trial of RFA ± LTLD. The 701 enrolled patients had to have ≤4 unresectable HCC lesions, at least one of which had a dmax of 3 to 7 cm. The primary endpoint was progression-free survival (PFS) and a key secondary endpoint was overall survival (OS). Post hoc subset analyses investigated whether RFA duration was associated with efficacy. Results: The primary endpoint was not met; in intention-to-treat analysis, the PFS HR of RFA + LTLD versus RFA alone was 0.96 [95% confidence interval (CI), 0.79-1.18; P = 0.71], and the OS HR ratio was 0.95 (95% CI, 0.76–1.20; P = 0.67). Among 285 patients with a solitary HCC lesion who received ≥45 minutes RFA dwell time, the OS HR was 0.63 (95% CI, 0.41–0.96; P < 0.05) in favor of combination therapy. RFA + LTLD had reversible myelosuppression similar to free doxorubicin. Conclusions: Adding LTLD to RFA was safe but did not increase PFS or OS in the overall study population. However, consistent with LTLD's heat-based mechanism of action, subgroup analysis suggested that RFA + LTLD efficacy is improved when RFA dwell time for a solitary lesion ≥45 minutes. Clin Cancer Res; 24(1); 73–83. ©2017 AACR.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".