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Record W4405092569 · doi:10.1182/blood-2024-211475

Comparative Real-World Outcomes of Commercial CD19-Directed CAR T-Cell Therapies in Large B-Cell Lymphoma

2024· article· en· W4405092569 on OpenAlexaff
Xavier Deschênes‐Simard, Maria Bromberg, Sean M. Devlin, Ofrat Beyar‐Katz, Andrew Ip, Ronit Marcus, Abraham Avigdor, Annamaria Ballweg, Emma Rabinovich, Mohammad Alhomoud, Alfredo Rivas‐Delgado, Magdalena Corona, Alejandro Luna, Maria Lia Palomba, Gunjan L. Shah, Richard J. Lin, Lorenzo Falchi, Jennifer Kimberly Lue, Gilles Salles, Miguel‐Angel Perales, Roni Shouval, Parastoo B. Dahi, Michael Scordo

Bibliographic record

VenueBlood · 2024
Typearticle
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsLymphomaMedicineCD19ImmunologyCancer researchInternal medicineAntibody

Abstract

fetched live from OpenAlex

Introduction: Although the US FDA has approved 3 commercial CAR T-cell therapies for large B-cell lymphoma (LBCL), there are no randomized clinical trials directly comparing their efficacy and safety. Recent studies have supported the higher efficacy, but higher toxicity, of axicabtagene ciloleucel (axi-cel) compared to tisagenlecleucel (tisa-cel). However, there is no such comparison with lisocabtagene maraleucel (liso-cel). Here, we compare the real-world clinical outcomes of patients treated for LBCL with the 3 commercially available CAR T-cell products. Methods: We conducted a retrospective multicenter cohort study involving 501 patients from 4 centers in the USA and Israel, treated for LBCL between April 2016 and January 2024. We included only patients treated with commercially available CAR T-cells outside of prospective clinical trials. Patient characteristics between the cohorts were compared using Pearson's Chi-squared test, Fisher's exact test, or Kruskal-Wallis rank sum test. Multivariable analyses using Cox proportional hazards models were conducted to adjust for age, performance status, LBCL subtype, refractory vs. relapse status, stage at apheresis, bridging therapy, disease response pre-infusion, LDH, and line of treatment. Results: Among all patients, 96 (19%), 133 (27%), and 272 (54%) received liso-cel, tisa-cel, and axi-cel, respectively. Patients who received liso-cel and tisa-cel were older compared to those treated with axi-cel (median ages: 70, 71, 62 years, respectively; p˂0.001) and had a poorer performance status at cell infusion (KPS˂90 in 75%, 59%, 56%, respectively; p=0.004). Patients treated with liso-cel and tisa-cel had less aggressive disease biology compared to those treated with axi-cel, respectively: refractory disease pre-apheresis (35%, 33%, 49%; p=0.002) and bulky disease pre-apheresis (12%, 10%, 21%; p=0.013). Most patients received tisa-cel in the ≥ 3rd line of treatment (liso-cel 78%, tisa-cel 96%, and axi-cel 81%; p<0.001). The time from apheresis to cell infusion was longer with liso-cel and tisa-cel compared to axi-cel (41, 44, 35 days, respectively; p˂0.001). Other baseline characteristics, including use of bridging therapy and LDH pre-lymphodepletion, were similar. The median follow-up among patients in the cohort was 19 months. The objective response (OR) rate with liso-cel was higher than with tisa-cel and axi-cel (91%, 66%, 82%, respectively; p<0.001), and a higher percentage reached complete remission (CR) (75%, 53%, 68%, respectively; p=0.001). The median duration of CR was not reached for liso cell but was 18 months (95% CI: 7.4-NR months) for tisa-cel and 27 months (95% CI: 19-NR months) for axi-cel. After adjusting for baseline clinical covariates, there was no significant difference in progression-free survival (PFS) between liso-cel and axi-cel (HR 0.87; p=0.5) in the multivariable model but tisa-cel was associated with inferior PFS compared to axi-cel (HR 2.0; p<0.001) and liso-cel (HR 2.31; p<0.001); 2-year estimated PFS was 52% (95% CI: 39-70%) for liso-cel, 27% (95% CI: 20-37%) for tisa-cel, and 44% (95% CI: 37-52%) for axi-cel. There were no statistically significant differences in overall survival (OS) between the 3 products after adjusting for clinical covariates; 2-year estimated OS was 52% (95% CI: 39-70%) for liso-cel, 44% (95% CI: 35-54%) for tisa-cel, and 60% (95% CI: 53-67%) for axi-cel. Lower rates of any-grade CRS were observed with liso-cel compared to tisa-cel and axi-cel (54%, 71%, and 89%, respectively; p<0.001). Additionally, liso-cel was associated with less high-grade CRS (grade ≥2: liso-cel 16%, tisa-cel 33%, axi-cel 43%; p<0.001), any-grade ICANS (liso-cel 17%, tisa-cel 18%, axi-cel 38%; p<0.001), and high-grade ICANS (grade ≥2: liso-cel 10%, tisa-cel 9.8%, axi-cel 25%; p<0.001). Conclusion: In this real-world comparison, we observed that tisa-cel was associated with inferior efficacy compared to axi-cel and liso-cel. While OR and CR rates were higher in patients receiving liso-cel versus axi-cel, PFS and OS rates were similar. Additionally, liso-cel demonstrated the most favorable toxicity profile. These findings provide valuable insights into product selection and suggest that liso-cel, often preferred for older and frail patients, could also be considered for younger and fitter patients.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.036
GPT teacher head0.343
Teacher spread0.306 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations2
Published2024
Admission routes1
Has abstractyes

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