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Enregistrement W2915478666 · doi:10.1182/blood-2018-99-113642

CAR-Modified Th1/Tc1-Polarized T-Rapa Cells Dissociate Inflammatory Cytokine Secretion from Anti-Tumor Cytotoxicity

2018· article· en· W2915478666 sur OpenAlexaff
Robyn A. A. Oldham, Tania C. Felizardo, Nathaniel Zhu, Daniel H. Fowler, Jeffrey A. Medin

Notice bibliographique

RevueBlood · 2018
Typearticle
Langueen
DomaineMedicine
ThématiqueCAR-T cell therapy research
Établissements canadiensUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésImmunologyCytokine release syndromeChimeric antigen receptorCytokineInterleukin 21Interleukin 12Cancer researchBiologyMedicineImmunotherapyCytotoxic T cellT cellImmune systemIn vitro

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction: Despite some striking clinical success thus far, chimeric antigen receptor (CAR) engineered cells have the potential to cause severe side effects. Neurotoxicity and cytokine release syndrome (CRS), the latter characterized by increased levels of cytokines such as IL-6, IFN-γ, and MCP-1, are common adverse events associated with CAR therapy. Lymphodepleting preconditioning regimens are associated with improved clinical responses to CAR therapy, yet lymphodepletion has also been identified as a risk factor for CRS. Understanding and management of these toxicities has improved significantly, however these conditions are challenging to treat and can be life-threatening. The ability to limit or prevent initiation of CRS would greatly improve the safety of CAR therapy. Previous clinical trials have shown that T-Rapa cells (patient T cells that have been grown exvivo in rapamycin) can be successfully infused back into autologous recipients after a low-dose conditioning regimen. After infusion, these T-Rapa cells have potent effector functions and demonstrate long-term persistence. Here we determine that T-Rapa cells, engineered by lentivirus-mediated gene transfer to express an anti-CD19 CAR, are just as effective at killing tumor cells as similarly-engineered pan T cells but produce dramatically less IFN-γ, for example. Methods: Human CD3+ cells were treated with rapamycin in the presence of IFN-α and IL-2 to produce T-Rapa cells with a Th1/Tc1 phenotype. An anti-CD19-41BB-CD3ζ CAR construct was subcloned into a lentiviral vector backbone containing an IRES-eGFP element. Vector was prepared and used to transduce T or T-Rapa cells. Transgene expression was assessed by FACS for eGFP and Protein L staining for the CAR. CAR-T cells were then expanded using CD3/CD28 beads in the presence of IL-2. The expanded cells were used in assays including FACS assessment of T cell phenotype, co-culture assays, and 51Cr release assays in comparison with non-rapamycin treated CAR T cells and non-transduced controls. Results: Following transduction and expansion, similar eGFP and CAR expression levels were found in T and T-Rapa cells transduced at the same MOI. CAR-T and CAR-T-Rapa cells developed from multiple independent T cell donors exhibited similar phenotypes at days 5 and 14 post-thaw, as determined by analyses of T-cell subset and exhaustion markers including CD45RO, CD127, CCR7, CD95, CD25, CXCR3, CTLA-4, PD-1, LAG-3, and TIM-3. Both CAR-T and CAR-T-Rapa cells exhibited comparable levels of cytotoxicity against CD19+ Raji, SUP-B15 and RS4;11 cancer cell lines after coculture for 4 hours in a 51Cr release assay. Further, both T and T-Rapa CAR cells produced similar amounts of IL-2 following a 24-hour coculture with CD19+ Raji, SUP-B15 and RS4;11 cancer cell lines, as measured by ELISA. Interestingly, CAR-T-Rapa cells produced significantly less IFN- γ that CAR-T cells after 24 hours of coculture with CD19+ tumor cells. This observation was consistent for CAR-T and CAR-T-Rapa cells assessed at both day 5 and day 14 post-thaw. Conclusions: T-Rapa cells can be successfully transduced with a CAR vector, and show comparable T cell subset, exhaustion phenotype, and cytotoxicity to CAR-T cells that have not been treated with rapamycin. In spite of these similarities, when challenged with CD19+ tumor cells, CAR-T-Rapa cells produced less IFN-γ than CAR-T cells. Decreased production of IFN- γ may reduce the risk and severity of CRS, improving the safety of CAR therapy. Additional cytokine production studies, as well as in vivo studies, are underway to further characterize T-Rapa cells as a novel CAR effector cell type. Disclosures Felizardo: Rapa Therapeutics: Employment, Patents & Royalties. Zhu:Rapa Therapeutics: Employment, Patents & Royalties. Fowler:Rapa Therapeutics: Employment, Equity Ownership, Patents & Royalties. Medin:Rapa Therapeutics: Membership on an entity's Board of Directors or advisory committees, Patents & Royalties.

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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut 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 enseignants0,004
Score d'incertitude au seuil0,013

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0040,002

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 Opus0,018
Tête enseignante GPT0,275
Écart entre enseignants0,257 · 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'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

Citations1
Publié2018
Routes d'admission1
Résumé présentoui

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