Session: 628. Aggressive Lymphomas: Cellular Therapies: Poster II
Hematology Disease Topics & Pathways:
Research, Clinical trials, Lymphomas, Clinical Research, B Cell lymphoma, Chimeric Antigen Receptor (CAR)-T Cell Therapies, Diseases, Treatment Considerations, Biological therapies, Lymphoid Malignancies
Methods: MAICs were used to estimate population-adjusted relative treatment effects associated with liso-cel for event-free survival (EFS), PFS, ORR, and CR rate (TRANSFORM; NCT03575351; N = 184; data cutoff date: October 2023) vs axi-cel (ZUMA-7; NCT03391466; N = 359; data cutoff date: January 2023) and safety (TRANSFORM, n = 183; ZUMA-7, n = 338). Pts were excluded from the TRANSFORM data set if they did not meet ZUMA-7 eligibility criteria (ie, matching). Individual pt data (IPD) for pts remaining in the TRANSFORM data set were weighted using a method-of-moments propensity score model to match the marginal distribution (ie, mean, variance) of clinical factors among pts from ZUMA-7 (ie, adjustment). Baseline characteristics and outcome measures were revised to align with those defined in ZUMA-7. Efficacy comparisons were anchored through the common comparator, standard of care (SOC; with similar protocol-defined salvage chemotherapy regimens in both trials, followed by high-dose chemotherapy and autologous transplant in responders). Hazard ratios (HRs) were used to compare time-to-event outcomes (EFS, PFS), and odds ratios were used to compare binary outcomes (ORR, CR rate, safety). Selection and rank ordering of the treatment effect modifiers were guided by analysis of the TRANSFORM IPD and clinical experts. Factors to match (ie, pts from TRANSFORM were removed) and adjust (ie, pts from TRANSFORM were reweighted) for efficacy and safety comparisons were reported previously (Abramson JS, et al. Blood 2022). Safety comparisons were unanchored due to the absence of CAR T cell–associated toxicities in the SOC arms. Bridging chemotherapy was allowed in TRANSFORM but not in ZUMA-7; it was not possible to adjust for this factor given sample size constraints.
Results: Median study follow-up time was 33.9 mo for liso-cel and 47.2 mo for axi-cel. Efficacy outcomes were comparable between therapies in the unmatched/unadjusted comparison. For liso-cel vs axi-cel, respectively, median (95% CI) EFS was 29.5 mo (9.5‒not reached [NR]) vs 8.3 mo (4.5‒15.8) with HR (95% CI) of 0.94 (0.60‒1.46), and median (95% CI) PFS was 29.5 mo (10.3‒NR) vs 14.7 mo (5.4‒43.5) with HR of 0.90 (95% CI, 0.56‒1.47). Median ORR was 87% vs 83% with odds ratio (95% CI) of 1.41 (0.58‒3.40), and CR rate was 74% vs 65% with odds ratio (95% CI) of 0.95 (0.44‒2.03).
After matching with ZUMA-7 for pt eligibility, the TRANSFORM sample size was 158; matching and adjusting for the selected effect modifiers resulted in an effective sample size of 80 for the primary efficacy scenario comparisons (sample size for ZUMA-7 and median efficacy values for axi-cel were unchanged). After matching and adjustment, efficacy outcomes remained comparable between therapies. Median (95% CI) EFS for liso-cel was NR (6.21‒NR) with HR (95% CI) of 0.75 (0.43‒1.33), and median (95% CI) PFS was NR (9.4–NR) with HR (95% CI) of 0.68 (0.37‒1.23). ORR was 85% with odds ratio (95% CI) of 1.63 (0.60‒4.44), and CR rate was 68% with odds ratio (95% CI) of 0.94 (0.40‒2.22).
For safety, MAIC results demonstrated lower odds ratios (95% CI) of grade ≥ 3 serious treatment-emergent adverse events (TEAEs; 0.49 [0.27‒0.90]), CRS (any grade, 0.09 [0.04‒0.18]; grade ≥ 3, 0.09 [0.01‒0.75]), and NEs (any grade, 0.08 [0.03‒0.18]; grade ≥ 3, 0.21 [0.06‒0.68]) for liso-cel vs axi-cel.
Conclusions: Results from this updated MAIC of liso-cel and axi-cel for the 2L treatment of R/R LBCL showed comparable efficacy, with more favorable safety outcomes for liso-cel. Liso-cel demonstrated a better safety profile with lower rates of grade ≥ 3 serious TEAEs and lower rates of all-grade and grade ≥ 3 CRS and NEs compared with axi-cel.
Disclosures: Abramson: Mustang Bio: Research Funding; Cellectis: Research Funding; Merck: Research Funding; Bristol Myers Squibb: Consultancy, Research Funding; Seagen Inc.: Research Funding; Interius BioTh: Consultancy; Incyte Corporation: Consultancy; Genmab US Inc: Consultancy; Genentech, a member of the Roche Group: Consultancy; AstraZeneca Pharmaceuticals LP: Consultancy; BeiGene Ltd: Consultancy; Caribou Biosciences Inc: Consultancy; Century Therapeutics: Consultancy; Epizyme Inc: Consultancy; AbbVie Inc: Consultancy; Foresight Diagnostics: Consultancy. Kamdar: TG Therapeutics: Research Funding; SeaGen: Speakers Bureau; Novartis: Research Funding; Genentech: Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees; BMS: Membership on an entity's Board of Directors or advisory committees; AstraZeneca: Membership on an entity's Board of Directors or advisory committees; Abbvie: Membership on an entity's Board of Directors or advisory committees. Liu: Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company. Crotta: Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company. Previtali: Bristol Myers Squibb: Current Employment. Klijn: Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company. Wang: Eversana: Consultancy, Current Employment. Zhang: BMS: Consultancy. Bonner: Bristol Myers Squibb: Consultancy. Lunning: Daiichi Sankyo, Fate Therapeutics, Genentech, Genmab, Ipsen, Janssen: Consultancy, Honoraria; Kite, Lilly, Incyte, Recordati, Regeneron, SeaGen, ViTToria: Consultancy, Honoraria; Abbvie, Acrotech, ADC Therapeutics, Astrazeneca, Britsol-Myers Squibb, Caribou, CRISPR,: Consultancy, Honoraria; AbbVie, Bristol Myers Squibb, Fate Therapeutics, Sana Therapeutics, Kite: Consultancy, Research Funding.
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