Matching-adjusted indirect comparison of efficacy and safety of lisocabtagene maraleucel and mosunetuzumab for the treatment of third-line or later relapsed or refractory follicular lymphoma
Bibliographic record
Abstract
BACKGROUND: The treatment landscape for relapsed or refractory (R/R) follicular lymphoma (FL) has changed with the introduction of anti-CD19 chimeric antigen receptor T-cell therapies, including lisocabtagene maraleucel (liso-cel) and CD20 × CD3 bispecific T-cell-engaging monoclonal antibodies such as mosunetuzumab. Liso-cel and mosunetuzumab have demonstrated positive benefit-risk profiles for third-line or later (3L+) treatment of patients with R/R FL and are approved treatments for these patients. In the absence of a prospective, randomized study, we conducted an unanchored matching-adjusted indirect comparison (MAIC) to assess the efficacy and safety of liso-cel and mosunetuzumab for 3L+ treatment in patients with R/R FL. METHODS: Unanchored MAICs were performed to estimate relative treatment effects between TRANSCEND FL (NCT04245839) and GO29781 (NCT02500407). For TRANSCEND FL, the leukapheresis set (N = 114) was used for primary comparisons of the following efficacy endpoints: objective response rate (ORR), complete response (CR) rate, duration of response (DOR), and progression-free survival (PFS). The treated set (N = 107) was used for comparisons of the following safety endpoints: cytokine release syndrome (CRS), neurological events (NE), serious infections, and use of corticosteroids or tocilizumab for CRS. Sensitivity analyses were conducted for efficacy using the TRANSCEND FL treated efficacy set (N = 101). RESULTS: After adjustment, liso-cel was associated with higher ORR (odds ratio [OR] = 3.78, 95% confidence interval [CI] 1.48‒9.67]) and CR rate (OR = 6.46, 95% CI 2.85‒14.65), and improved DOR (hazard ratio [HR] = 0.45, 95% CI 0.26‒0.77) and PFS (HR = 0.28, 95% CI 0.16‒0.49) compared with mosunetuzumab. Results remained consistent across sensitivity analyses. Liso-cel had a lower incidence of grade ≥ 3 CRS (OR = 0.45, 95% CI 0.04‒5.13), grade 3‒4 serious infections (OR = 0.35, 95% CI 0.12‒1.03), and corticosteroid use for CRS management (OR = 0.14, 95% CI 0.03‒0.65); however, liso-cel exhibited higher incidence of any-grade CRS (OR = 1.86, 95% CI 1.01‒3.43), any-grade NEs (OR = 2.16, 95% CI 0.72‒6.44), and tocilizumab use for CRS management (OR = 2.27, 95% CI 0.86‒5.99). CONCLUSIONS: Findings highlight a potential positive benefit-risk profile of liso-cel over mosunetuzumab as a 3L+ treatment for R/R FL.
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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 | 0.011 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.006 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".