T Cells Engineered with T Cell Antigen Coupler (TAC) Receptors for Haematological Malignancies
Notice bibliographique
Résumé
Abstract Background: We recently described the T cell antigen coupler (TAC) technology (Helsen et. al. Nature Communications) which is a chimeric receptor that targets antigens in an MHC-independent fashion and activates T cells by co-opting the natural TCR receptor. In vitro and in vivo assessments of TAC T cells in solid tumor models have revealed that TACs mediate biological effects that are distinct from conventional chimeric antigen receptors (CARs) and offer safety advantages, including greater target selectivity and reduced off-target toxicity. Here, we present in vitro and in vivo data showing that TAC-engineered T cells directed against CD19 and BCMA demonstrate robust anti-tumor efficacy in haematological malignancies with no detectable side effects. Materials and Methods: T cells from health donors were engineered with TAC receptors directed against CD19 or BCMA using lentivirus vectors. Flow cytometry was employed to measure surface expression of TAC receptors, cytokine production and proliferation of TAC T cells following stimulation with relevant target cells. Antigen-specific toxicity was measured using a luciferase-based killing assay. Anti-tumor activity was measured against acute lymphoblast leukemia for CD19 and multiple myeloma for BCMA xenografts in immunodeficient NRG mice. Results: Engineering T cells with TAC receptors targeted against either CD19 or BCMA revealed antigen-specific activation of cytokine production, cytotoxic function and proliferation. TAC T cells, but not CAR engineered T cells, show significant selectivity towards the context of antigen presentation. This is reflected by the differential proliferative response to a diverse framework of antigen surface arrangement, potentially indicating that TAC T cells are less susceptible to off target activation and the resulting toxicities. Treatment of established NALM-6 xenografts (acute lymphoblastic leukemia) and KMS-11 xenografts (multiple myeloma) with CD19 TAC T cells and BCMA TAC T cells, respectively, resulted in clearance of tumors within a few weeks of T cell infusion. Mice that cleared tumors following TAC T cell treatment were resistant to subsequent challenge with fresh tumor cells demonstrating persistence of TAC T cells. Treatment with control TAC T cells that carry no binding domain had no impact on tumor growth. Monitoring of TAC T cells post-infusion revealed robust expansion that peaked in the peripheral blood 1-2 weeks post-infusion. A clinical manufacturing protocol has been developed for the CD19 TAC T cells in anticipation of human trials. Conclusion: Our pre-clinical evaluation suggests that TAC therapy has the potential to becoming a safer and more effective alternative to conventional CAR therapy. A first in human Phase I/II trial with CD19 TAC T cells is expected to start in the first half of 2019. Disclosures Helsen: Triumvira Immunologics: Employment, Patents & Royalties. Hammill:Triumvira Immunologics: Other: Holding shares, Patents & Royalties. Mwawasi:Triumvira Immunologics: Other: Holding shares, Patents & Royalties. Hayes:Triumvira Immunologics: Employment. Afsahi:Triumvira Immunologics: Patents & Royalties. Denisova:Triumvira Immunologics: Patents & Royalties. Bramson:Triumvira Immunologics: Employment, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties, Research Funding.
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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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».