Alberta Cellular and Immunotherapy (ACIT) 001, Results of Decentralized Production of Second Generation, Anti-CD19/41BB/CD3z Chimeric Antigen Receptor (CAR) T-Cells in Relapsed/Refractory (R/R) Acute Lymphoblastic Leukemia (ALL) and Aggressive Non-Hodgkin Lymphoma (NHL)
Notice bibliographique
Résumé
Purpose Anti-CD19 CAR T-cells are a standard treatment for aggressive B-cell cancers. Decentralized production may improve access to this important treatment and provide a platform for additional translational science in a single payer, public health care system such as Canada where implementation of CAR T-cells has been non-uniform and slow. ACIT001/EXC002 is a phase 1b/2 clinical trial examining the feasibility, safety, and efficacy of decentralized production of anti-CD19 CAR T-cell using the CliniMACS Prodigy bioreactor to treat R/R ALL and NHL patients. We report the phase 1b results in adults. Methods ACIT001/EXC002 launched following ethics approval with 2 manufacturing sites to service 4 clinical delivery sites. The phase 1b study used a 3+3 dose escalation design with two arms, one for adults (NHL or ALL, competitive enrollment) and one for children (ALL). CD19 expression was confirmed on their fresh or archival tumor samples and all patients had received a minimum of 2 prior lines of therapy. Patients with transformed disease or central nervous system involvement were allowed to participate. Anti-CD19 CAR T-cells were manufactured using freshly apheresed peripheral blood T-cells using a Lentigen anti-CD19 vector. Patients received cyclophosphamide (500 mg/m2) and fludarabine (30 mg/m2) as outpatient intravenous lymphodepleting chemotherapy on Days -5, -4 and -3 prior to infusion of CAR T-cells. Infusion of fresh CAR T-cells was favored but cryopreservation was permitted if clinical circumstances dictated a delay between apheresis and treatment. Patients were suggested to remain in hospital for 7 days at minimum but length of stay was not mandated. Results 10 patients were accrued to the phase 1b portion of the study. One extra patient was accrued due to an unexpected, treatment unrelated death (COVID 19). In-specification products were manufactured for each of the 9 evaluable patients (5 NHL and 4 ALL) and all patients received fresh CAR T-cells a median of 14 days after apheresis ("vein-to-vein", range 14-15 days). Grade 1 or 2 cytokine release syndrome (CRS) occurred in 7 (78%) of patients; tocilizumab was used in 5 (56%) of patients. Grade 1 or 2 Neurotoxicity (ICANS) occurred in 2 (22%) patients, and responded to limited dexamethasone. Median length of stay in hospital was 11 days (range 9-17 days). Investigator-assessed, objective response rate was 78% (7 of 9). All 4 ALL patients demonstrated a complete response (CR) to therapy with 3 negative for minimal residual disease (MRD) by flow cytometry (10-4). 3 (75%) of NHL patients showed a response to therapy including 2 CR's. With a median 8 months of follow-up time, 5 patients remain in remission (3 ALL, 2 NHL). Of 3 NHL patients demonstrating progression on trial, 1 had partial response prior to progression and 2 had refractory disease. T-cell exhaustion was associated with poor response to CAR T-cell therapy (see related abstract). Additional correlative analyses and health economics analyses are underway. Summary Our phase 1b results provide evidence that decentralized production is feasible in a single payer, public health care system. With a consistent vein-to-vein time of 14 days, we remove the inconsistency of manufacturing windows from standard of care products and have direct control over supply of CAR T-cells for our patient population. This method also implies that having smaller local manufacturing facilities allows a savings of scale while promoting improved and faster service than the creation and maintenance of a large, centralized manufacturing facility. This particular CAR T-cell product demonstrates a safety profile and efficacy similar to standard-of-care products through completion of the phase 1b portion of this trial. These results have prompted expansion to phase 2 in separate arms for ALL and NHL.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».