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Enregistrement W3096145151 · doi:10.1182/blood-2020-133988

Shared Expression of CD93 and Other Antigens By AML and Endothelial Cells Highlights a Need for Rational Combinatorial Targeting

2020· article· en· W3096145151 sur OpenAlexaff
Rebecca M. Richards, Feifei Zhao, Katherine A. Murphy, Peng Xu, Amy C. Fan, Elena Sotillo, Mads Daugaard, Htoo Zarni Oo, Jie Liu, Wan‐Jen Hong, Poul H. Sorensen, Robbie G. Majzner, Ravindra Majeti, Crystal L. Mackall

Notice bibliographique

RevueBlood · 2020
Typearticle
Langueen
DomaineMedicine
ThématiqueCAR-T cell therapy research
Établissements canadiensBC Cancer AgencyUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésChimeric antigen receptorCancer researchProgenitor cellMyeloid leukemiaHaematopoiesisLeukemiaBone marrowCD33AntigenStem cellMyeloidImmunologyImmunotherapyMedicineBiologyCD34Immune systemCell biology

Résumé

récupéré en direct d'OpenAlex

Introduction: Acute myeloid leukemia (AML) is the most prevalent acute leukemia in the United States, accounting for more than 11,000 deaths each year and with a 5-year overall survival rate of less than 30%. With the exception of Gemtuzumab ozogamycin, an anti-CD33 antibody drug conjugate, the landmark success of immunotherapy in other hematologic malignancies has not translated to AML. Chimeric antigen receptor (CAR) T cell therapy, in which T cells are engineered with redirected tumor specificity, holds promise for the treatment of AML, but optimal antigens for CAR targeting of AML remain to be defined. We identified CD93 as a novel target for AML CAR therapy given high expression on many AML samples and an important role in leukemia stem cell (LSC) biology. Here, we describe anti-leukemic efficacy of CD93 CAR T cells both in vitro and in murine xenograft models. Consistent with predictions based on CD93 expression within the hematopoietic compartment, we demonstrate minimal CAR T cell toxicity to hematopoietic progenitors. However, we identify endothelial cell toxicity as a significant on-target, off-tumor toxicity. We also analyze endothelial expression of other common AML targets including CD123 and CD38 at baseline and in an inflammatory microenvironment and propose a strategy to incorporate endothelial expression considerations into rational design of combinatorial CAR T cells for AML. Results/Methods: CD93 was expressed to some degree on 24/25 (96%) of primary AML specimens, and was homogeneously expressed in 17/25 (68%). T cells were engineered to express second generation CD93 CARs based on the scFv of a humanized monocloncal CD93 antibody (F11) linked to CD28-CD3ζ or 4-1BB-CD3ζ intracellular domains (CD93-28z and CD93-BBz, respectively). CD93-28z and CD93-BBz CAR T cells incubated in vitro with target cells demonstrated AML-specific cytokine production measured by ELISA and cytotoxicity measured by IncucyteTM assay. CD93 CAR T cell treatment of NOD-SCID-IL2Rγc-/- (NSG) mice engrafted with the human AML line THP-1 resulted in improved leukemic control in comparison to mock-treated mice. In a patient derived xenograft model of primary AML, CD93 CAR T cell treatment resulted in significantly improved leukemic clearance, T cell expansion, and prolonged survival compared to mock-treated mice. CD93 CAR T cells were incubated with cord-blood derived CD34+ cells to evaluate CD93 CAR recognition of hematopoietic stem cells (HSCs) and other hematopoietic progenitors. In an ELISA, CD93 CAR T cells did not produce cytokines against the bulk CD34+ population, in contrast to a positive control of AML. Additionally, after a 24h co-culture, CD93 CAR T cells did not kill any hematopoietic progenitor cells as assessed by flow cytometry. Furthermore, a methycellulose based colony forming assay confirmed that CD93 CAR T cells do not impact hematopoietic progenitor multipotent functional ability. We analyzed CD93 expression by immunohistochemistry of a tissue microarray of normal tissues. H-scores of all tissues analyzed were <100, generally accepted to signify low or no expression. However, we discovered strong staining of endothelial cells throughout multiple organ systems. CD93 expression was confirmed on endothelial cell lines iHUVEC and TIME, and CD93 CAR T cells produced cytokines when co-cultured with these endothelial cells. Hematopoietic cells and endothelial cells have a common developmental origin, and other AML CAR targets have been described as expressed on endothelial cells either at baseline or in the presence of inflammatory cytokines. A targeted analysis of CD123, CD38, and CD33 revealed that CD123 and CD38 are also expressed on endothelial cells, especially when cells are pretreated with IFN𝛾 and TNF⍺. Conclusion: Progress in generating effective CAR T cells for acute myeloid leukemia (AML) has been hampered the paucity of AML cell surface antigens that are not expressed on vital tissues. Combinatorial antigen targeting will likely play a major role in advancing CAR T cell therapy for AML. Our data support that endothelial expression at baseline and in an inflammatory microenvironment should be considered as a factor in any rational combinatorial targeting strategy, and that creative CAR engineering will be necessary for certain AML targets, including CD93, to circumvent endothelial toxicity. Disclosures Richards: Stanford University: Patents & Royalties: pending patent application for CD93 CAR. Sotillo:Lyell Immunopharma: Consultancy, Other: Consultancy. Hong:Genentech, Inc.: Current Employment; F. Hoffmann-La Roche: Current equity holder in publicly-traded company. Majzner:Zai Lab: Consultancy; Xyphos Biopharma: Consultancy; Aprotum Group: Consultancy; GammaDelta Therapeutics: Membership on an entity's Board of Directors or advisory committees; Illumina Radiopharmaceuticals: Consultancy; Lyell Immunopharma: Consultancy. Majeti:CircBio Inc.: Research Funding; Gilead Sciences, Inc.: Patents & Royalties: inventor on patents related to CD47 cancer immunotherapy; Stanford University: Patents & Royalties: pending patent application on CD93 CAR ; BeyondSpring Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Forty-Seven Inc.: Divested equity in a private or publicly-traded company in the past 24 months; Coherus BioSciences: Membership on an entity's Board of Directors or advisory committees; Zenshine Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Kodikaz Therapeutic Solutions Inc.: Membership on an entity's Board of Directors or advisory committees. Mackall:Lyell Immunopharma: Consultancy, Current equity holder in private company; BMS: Consultancy; Allogene: Current equity holder in publicly-traded company; Apricity Health: Consultancy, Current equity holder in private company; Nektar Therapeutics: Consultancy; NeoImmune Tech: 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 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: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,001
Score d'incertitude au seuil0,003

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 savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,020
Tête enseignante GPT0,270
Écart entre enseignants0,250 · 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'étudeObservationnel
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

Citations0
Publié2020
Routes d'admission1
Résumé présentoui

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