Quality of Life Effect of the Anti-CCR4 Monoclonal Antibody Mogamulizumab Versus Vorinostat in Patients With Cutaneous T-cell Lymphoma
Bibliographic record
Abstract
BACKGROUND: Sézary syndrome (SS) and mycosis fungoides (MF), 2 types of cutaneous T-cell lymphoma, cause significant morbidity and adversely affect patients' quality of life (QoL). The present study assessed the QoL measurement changes in patients receiving mogamulizumab versus vorinostat. PATIENTS AND METHODS: A multicenter phase III trial was conducted of patients with stage IB-IV MF/SS with ≥ 1 failed systemic therapy. The QoL measures included Skindex-29 and the Functional Assessment of Cancer Therapy-General. The symptoms, function, and QoL subdomains were longitudinally modeled using mixed models with prespecified covariates. Meaningful change thresholds (MCTs) were defined using distribution-based methods. The categorical changes by group over time and the time to clinically meaningful worsening were analyzed. RESULTS: Of the 372 randomized patients, mogamulizumab demonstrated improvement in Skindex-29 symptoms (cycles 3, 5, and 7; P < .05) and functional (cycles 3 and 5; P < .05) scales. A significantly greater proportion of mogamulizumab-treated patients improved by MCTs or more from baseline in the Skindex-29 symptoms domain (cycles 3, 5, 7, and 11) and functioning domain (cycle 5). Significant differences in the Functional Assessment of Cancer Therapy-General physical well-being (cycles 1, 3, and 5; P < .05) were observed in favor of mogamulizumab and a greater proportion of patients had declined by MCTs or more at cycles 1, 3, 5, and 7 with vorinostat treatment. The median time to symptom worsening using Skindex-29 was 27.4 months for mogamulizumab versus 6.6 months for vorinostat. In the patients with SS, the time to worsening favored mogamulizumab (P < .005) for all Skindex-29 domains. The time to worsening was similar for the 2 MF treatment arms. CONCLUSION: The symptoms, function, and overall QoL of patients with MF/SS favored mogamulizumab over vorinostat across all time points. Patients with the greatest symptom burden and functional impairment derived the most QoL benefit from mogamulizumab.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| 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".