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Enregistrement W2979816540 · doi:10.1182/blood.v118.21.167.167

B-Cell Depletion, Remissions of Malignancy, and Cytokine-Associated Toxicity in a Clinical Trial of T Cells Genetically-Engineered to Express An Anti-CD19 Chimeric Antigen Receptor

2011· article· en· W2979816540 sur OpenAlexaff
James N. Kochenderfer, Mark E. Dudley, Steven A. Feldman, Wyndham H. Wilson, David Spaner, Laura Devillier, Robert O. Carpenter, Debbie-Ann N. Nathan, Irina Marić, Richard A. Morgan, Steven A. Rosenberg

Notice bibliographique

RevueBlood · 2011
Typearticle
Langueen
DomaineMedicine
ThématiqueCAR-T cell therapy research
Établissements canadiensSunnybrook Health Science Centre
Organismes subventionnairesnon disponible
Mots-clésMedicineChimeric antigen receptorAdoptive cell transferCD19ImmunologyFludarabineChronic lymphocytic leukemiaLymphomaAntigenLeukemiaCyclophosphamideT cellCancer researchInternal medicineChemotherapyImmune system

Résumé

récupéré en direct d'OpenAlex

Abstract Abstract 167FN2 New therapies are needed for chemotherapy-resistant B-cell malignancies. Adoptive transfer of T cells genetically-engineered to express chimeric antigen receptors (CARs) that specifically recognize the B-cell antigen CD19 is a promising new approach for treating B-cell malignancies. We are conducting a clinical trial in which patients receive infusions of autologous T cells that are transduced with gamma-retroviruses encoding an anti-CD19 CAR. The CAR is made up of the variable regions of an anti-CD19 antibody, a portion of the CD28 molecule, and a portion of the CD3-zeta molecule. Our clinical protocol consists of cyclophosphamide plus fludarabine chemotherapy followed by an infusion of anti-CD19-CAR-transduced T cells and a course of high-dose IL-2. We have treated 8 patients on this clinical trial. Four of the patients had chronic lymphocytic leukemia (CLL), and 4 patients had B-cell lymphoma. Anti-CD19-CAR-transduced T cells that specifically recognized CD19-expressing target cells were produced for all patients. The total number of cells administered to each patient ranged from 0.5×107 to 5.5×107 cells per kg of bodyweight. A mean of 54% of the administered cells expressed the anti-CD19 CAR. One patient with CLL obtained a complete remission that is ongoing 15 months after treatment. Five patients obtained partial remissions that are ongoing in 3 patients. One patient with CLL had stable disease. One patient with lymphoma died of culture-proven influenza A pneumonia and is not evaluable for lymphoma response. A striking depletion of CD19+ B-lineage cells occurred in 4 of 8 patients. This B-cell depletion lasted for up to 15 months, and it is ongoing in 3 of 4 patients. Because of the long duration of B-cell depletion, it cannot be attributed to the chemotherapy that the patients received. For example, a patient with follicular lymphoma had a normal level of polyclonal blood B cells before treatment on our protocol. Six months after treatment, he had a blood B cell count of 1/microliter (normal range 61–321 B cells/microliter). A patient with CLL had a regression of adenopathy in the first 32 days after chemotherapy and CAR-transduced T cell administration. Interestingly, this adenopathy continued to substantially regress between 33 and 133 days after chemotherapy ended. CAR-transduced cells were detected in the blood of all 8 patients by quantitative PCR. The percentage of peripheral blood mononuclear cells (PBMC) containing the CAR gene varied widely, but in 2 patients the CAR gene was detected in greater than 0.1% of PBMC more than 90 days after infusion. At early time-points after infusion, CAR-expressing T cells constituted up to 20% of all blood T cells. Patients had significant toxicity during the first 10 days after CAR-transduced T cell infusion. The most prominent toxicity was hypotension. Sharp increases in serum interferon gamma (IFN) and tumor necrosis factor (TNF) occurred in 4 of 8 patients during the first 10 days after cell infusion. In the 4 patients with prominent elevations in inflammatory cytokines, peak serum IFN levels ranged from 865 to 2305 pg/mL, and peak TNF levels ranged from 49 to 118 pg/mL. As measured by an objective sequencial organ failure assessment score, the 4 patients with prominent elevations in IFN and TNF had more severe clinical toxicity during the first 10 days after cell infusion than the other 4 patients who did not have prominent elevations of IFN and TNF. We analyzed PBMC of three patients with elevations of serum IFN and TNF by using an ex vivo assay consisting of a 6-hour incubation of PBMC with target cells followed by intracellular cytokine staining. In all three patients, we detected T cells that produced IFN and TNF in a CD19-specific manner in PBMC samples collected after anti-CD19-CAR-transduced T cell infusions but not in PBMC samples collected before CAR-transduced T cell infusions. This indicates that anti-CD19-CAR-transduced T cells were a source of the elevated serum cytokines. In multiple patients receiving infusions of anti-CD19-CAR-transduced T cells, we have demonstrated elimination of CD19+ B-lineage cells, regressions of malignancy, elevated levels of serum inflammatory cytokines, and CD19-specific T cells that produce inflammatory cytokines ex vivo. These results demonstrate that CAR-expressing T cells can specifically eliminate targeted cells and cause significant cytokine-mediated toxicity in humans. Disclosures: No relevant conflicts of interest to declare.

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)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Essai non randomisé · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,008

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,001
Communication savante0,0010,001
Science ouverte0,0010,000
Intégrité de la recherche0,0020,003
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 Opus0,056
Tête enseignante GPT0,327
Écart entre enseignants0,271 · 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'étudeEssai non randomisé
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

Citations5
Publié2011
Routes d'admission1
Résumé présentoui

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