MétaCan
Menu
Retour à la cohorte
Enregistrement 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 sur 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

Notice bibliographique

RevueBlood · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueCAR-T cell therapy research
Établissements canadiensUniversité de Montréal
Organismes subventionnairesnon disponible
Mots-clésLymphomaMedicineCD19ImmunologyCancer researchInternal medicineAntibody

Résumé

récupéré en direct d'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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,005
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,012

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,005
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0000,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,036
Tête enseignante GPT0,343
Écart entre enseignants0,306 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2024
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueBloodMême sujetCAR-T cell therapy researchTravaux en français237 207