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Enregistrement W2901026782 · doi:10.1182/blood-2018-99-111061

Comparison of Efficacy and Toxicity of CD19-Specific Chimeric Antigen Receptor T-Cells Alone or in Combination with Ibrutinib for Relapsed and/or Refractory CLL

2018· article· en· W2901026782 sur OpenAlexaff
Jordan Gauthier, Alexandre V. Hirayama, Kevin A. Hay, Daniel Li, James Lymp, Alyssa Sheih, Janaki Purushe, Barbara S. Pender, Reed M. Hawkins, Aesha Vakil, Tinh-Doan Phi, Rachel N. Steinmetz, Aude G. Chapuis, Brian G. Till, Tejaswini Dhawale, Paul C. Hendrie, Hans‐Peter Kiem, Jorge Ramos, Mazyar Shadman, Ryan D. Cassaday, Utkarsh Acharya, Stanley R. Riddell, David G. Maloney, Cameron J. Turtle

Notice bibliographique

RevueBlood · 2018
Typearticle
Langueen
DomaineMedicine
ThématiqueCAR-T cell therapy research
Établissements canadiensUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésIbrutinibMedicineFludarabineInternal medicineLeukapheresisNeutropeniaChronic lymphocytic leukemiaCyclophosphamideImmunologyLeukemiaGastroenterologyToxicityChemotherapyStem cellBiology

Résumé

récupéré en direct d'OpenAlex

Abstract Background We reported durable responses to CD19-specific chimeric antigen receptor-modified T-cell therapy (JCAR014) in relapsed/refractory (R/R) chronic lymphocytic leukemia (CLL) patients (pts) after prior failure of ibrutinib (Turtle, JCO 2017; NCT01865617). In those pts, ibrutinib was not administered during CAR-T cell immunotherapy. Continuation of ibrutinib through leukapheresis, lymphodepletion and CAR-T cell therapy may prevent tumor progression after ibrutinib withdrawal, mobilize tumor into the blood, improve CAR-T cell function, and decrease cytokine release syndrome (CRS). Methods We conducted a phase 1/2 study of CD19 CAR-T cell immunotherapy in R/R CLL pts and established a regimen of cyclophosphamide and fludarabine (Cy/Flu) lymphodepletion followed by JCAR014 at 2 x 106 CAR-T cells/kg (Turtle, JCO 2017). We then compared outcomes of these pts (No-ibr cohort) with a subsequent cohort that received Cy/Flu with 2 x 106/kg JCAR014 CAR-T cells with concurrent ibrutinib (420 mg/d) from at least 2 weeks prior to leukapheresis until at least 3 months after JCAR014 infusion (Ibr cohort). Dose reduction was permitted for toxicity. CRS was graded by consensus criteria (Lee, Blood 2014) and neurotoxicity and other adverse events were graded by CTCAE v4.03. Response was evaluated according to 2008 IWCLL criteria. Results Seventeen and 19 pts were treated in the Ibr and No-ibr cohorts, respectively. Pt characteristics were comparable (Table 1). Progression on ibrutinib was noted in 16 (94%) and 18 pts (95%) in the Ibr and No-ibr cohorts, respectively, and prior ibrutinib intolerance was reported in 1 pt in each cohort. The time to intolerance or failure of ibrutinib prior to treatment with JCAR014 was longer, and the pre-leukapheresis LDH was lower in the Ibr compared to the No-ibr cohort. The median follow-up in responders was 98 and 764 days in the Ibr and No-ibr cohorts, respectively. Administration of ibrutinib with Cy/Flu and JCAR014 was well tolerated in most pts; ibrutinib was reduced or discontinued in 6 pts (35%) at a median of 21 days after JCAR014 infusion. In the Ibr cohort, 1 pt with grade 2 CRS developed fatal presumed cardiac arrhythmia and 1 pt developed a subdural hematoma in the setting of trauma and thrombocytopenia. No differences in the incidences of grade ≥3 cytopenias were observed. Concurrent ibrutinib administration did not appear to affect the frequency or severity of neurotoxicity. Although the proportions of pts with grade ≥1 CRS were similar between cohorts (76% vs 89%, P = 0.39), the severity of CRS (grade ≥3 CRS: Ibr, 0%; No-Ibr, 26%; P = 0.05) and serum peak IL-8 (P = 0.04), IL-15 (P = 0.003) and MCP-1 (P = 0.004) concentrations were lower in the Ibr cohort. However, we found comparable CD8+ (P = 0.29) and higher CD4+ (P = 0.06) CAR-T cell counts in blood in the Ibr cohort. Sixteen pts (94%) and 18 pts (95%) in the Ibr and No-ibr cohorts, respectively, have completed response assessment. We observed a higher proportion of responders (complete and partial remission) by IWCLL criteria in the Ibr compared to the No-ibr cohort (88% vs 56%, respectively, P = 0.06). Ten of 12 pts (83%) with lymph node disease before treatment with Cy/Flu and JCAR014 in the Ibr cohort achieved CR or PR by IWCLL imaging criteria, compared to 10/17 pts (59%) in the No-ibr cohort (P = 0.23). The proportion of pts with pretreatment bone marrow (BM) disease who had no disease by flow cytometry after CAR-T cell immunotherapy was similar in the Ibr compared to the No-ibr cohort (75% vs 65%, P = 0.71). However, among pts with no disease by BM flow cytometry after CAR-T cell immunotherapy, a higher proportion of pts in the Ibr cohort had no malignant IGH sequences at 4 weeks (83% vs 60%, respectively, P = 0.35). We performed univariate logistic regression analysis for response by IWCLL criteria and variables with P < 0.10 were considered for stepwise multivariable analysis (Table 2). In the multivariable analysis, the Ibr cohort and a lower pre-treatment SUVmax on PET imaging were each associated with a higher probability of response by IWCLL criteria (Ibr cohort, OR = 14.02, 95%CI [0.52-379.61], P = 0.05; SUVmax, OR = 1.31 per SUV unit decrease, 95%CI [1.05-1.67], P < 0.001). Conclusion Administration of ibrutinib from 2 weeks before leukapheresis until 3 months after JCAR014 was well tolerated in most pts. This approach might decrease the incidence of severe CRS and improve responses in pts with R/R CLL. Disclosures Hirayama: DAVA Oncology: Honoraria. Hay:DAVA Oncology: Honoraria. Li:Juno Therapeutics: Employment, Equity Ownership. Lymp:Juno Therapeutics: Employment, Equity Ownership. Till:Mustang Bio: Patents & Royalties, Research Funding. Kiem:Magenta: Consultancy; Homology Medicine: Consultancy; Rocket Pharmaceuticals: Consultancy. Shadman:TG Therapeutics: Research Funding; Celgene: Research Funding; Gilead: Research Funding; Qilu Puget Sound Biotherapeutics: Consultancy; AstraZeneca: Consultancy; Verastem: Consultancy; Beigene: Research Funding; Mustang: Research Funding; Genentech: Consultancy, Research Funding; Pharmacyclics: Research Funding; Acerta: Research Funding; Abbvie: Consultancy. Cassaday:Merck: Research Funding; Pfizer: Consultancy, Research Funding; Amgen: Consultancy, Research Funding; Seattle Genetics: Other: Spouse Employment, Research Funding; Incyte: Research Funding; Kite Pharma: Research Funding; Adaptive Biotechnologies: Consultancy; Jazz Pharmaceuticals: Consultancy. Acharya:Juno Therapeutics: Research Funding; Teva: Honoraria. Riddell:Juno Therapeutics: Equity Ownership, Patents & Royalties, Research Funding; Adaptive Biotechnologies: Consultancy; NOHLA: Consultancy; Cell Medica: Membership on an entity's Board of Directors or advisory committees. Maloney:GlaxoSmithKline: Research Funding; Juno Therapeutics: Research Funding; Seattle Genetics: Honoraria; Roche/Genentech: Honoraria; Janssen Scientific Affairs: Honoraria. Turtle:Nektar Therapeutics: Consultancy, Research Funding; Juno Therapeutics / Celgene: Consultancy, Patents & Royalties, Research Funding; Aptevo: Consultancy; Precision Biosciences: Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Caribou Biosciences: Consultancy; Adaptive Biotechnologies: Consultancy; Eureka Therapeutics: Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Bluebird Bio: Consultancy; Gilead: Consultancy.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,063
Score d'incertitude au seuil0,376

Scores Codex et Gemma par catégorie

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

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 Opus0,051
Tête enseignante GPT0,344
Écart entre enseignants0,293 · 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 tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
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

Citations55
Publié2018
Routes d'admission1
Résumé présentoui

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