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Enregistrement W4405047413 · doi:10.1182/blood-2024-202053

Deciphering Minor Histocompatibility Antigen Immunoreactivity through Optimized T Cell Expansion Strategies

2024· article· en· W4405047413 sur OpenAlexaff
Annabelle Minguy, Jessica Trottier, Jaime Leonel Sanchez-Dardon, Cédric Mathieu, Jean-Philippe Bastien, Cédric Carli, Claude Perreault, Jean‐Sébastien Delisle, Vibhuti P. Davé, Denis‐Claude Roy

Notice bibliographique

RevueBlood · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueCAR-T cell therapy research
Établissements canadiensInstitute for Research in Immunology and CancerUniversité de MontréalHôpital Maisonneuve-Rosemont
Organismes subventionnairesnon disponible
Mots-clésMinor histocompatibility antigenImmunologyAntigenBiologyHistocompatibilityMajor histocompatibility complexHuman leukocyte antigen

Résumé

récupéré en direct d'OpenAlex

Background: For patients with high-risk blood cancers, cure following allogeneic hematopoietic stem cell transplantation (AHSCT) is mostly attributable to its Graft-vs-Leukemia (GVL) effect that is mediated by donor T lymphocytes. As both GvL activity and graft-vs-host disease (GvHD) are mediated by donor T cells present in the donor graft, AHSCT would greatly benefit from the ability to select donor T cells capable of generating GvL activity without causing GVHD. We have previously identified 98 minor histocompatibility antigens (MiHAs) preferentially expressed on hematopoietic cells (Granados et al, Leukemia 2016). T cells recognizing these MiHAs have the potential to eliminate hematologic cancer cells while sparing healthy tissues. MiHAs are human-leukocyte antigen (HLA)-restricted peptides generally originating from germline polymorphisms and therefore broadly expressed. A single amino-acid difference in MiHA sequences between the patient and its donor is sufficient to elicit strong GvL activity in HSCT. However, the low frequency of MiHA-specific T cells in donor grafts may not allow for optimal GvL. Thus, ex vivo expansion of anti-leukemia cells represents an attractive strategy to enhance GVL activity. We have recently demonstrated the feasibility and safety of infusing ex vivo expanded T cells against a single MiHA as well as observed signs of anti-cancer activity in a phase I first in human clinical trial (Roy et al, ASH 2022). Objectives: In order to improve on the ability of such T cells to fight cancer, we investigated i) whether the generation of T cells targeting multiple MiHAs is feasible; ii) the impact of MiHA-specific CD8 T cell precursor frequency on T cell expansion; and iii) anti-MiHA T cell immunoreactivity. Methods: We have evaluated 38 different MiHAs either separately or in combination with other MiHAs according to the donor MiHA profile, targeting 7 different HLAs from 22 healthy volunteers. We co-cultured dendritic cells (DC) pulsed with single or multiple MiHAs with peripheral blood mononuclear cells (PBMC) for 21 days. DC and T cell immune phenotypes were measured using flow cytometry, and immune reactivity using IFNγ, TNFα, IL-2 and CD107a expression upon MiHA peptide restimulation. Results: Dendritic cells pulsed with multiple MiHAs showed differences in expression of co-stimulatory molecules and activation markers compared to single-MiHA pulsed DCs. Multiple-MiHA pulsed DCs led to a significant increase in the frequency of MiHA-specific T cells expansion, with 37.8% of cultures showing MiHA-specific T cells compared with 12.0% in single-MiHA pulsed DC conditions (p=0.0046). Interestingly, MiHA competition for the same HLA in multiple-MiHAs pulsed DC conditions did not alter the frequency of MiHA-specific T cell expansion nor their reactivity. Next, we sought to investigate whether anti-MiHA T cell generation was limited by the initial number of CD8+ T cells. We found that increasing the CD8+/CD4+ T cell ratio 2.9-fold in the initial culture resulted in 58.6% of cultures showing MiHA-specific T cells. Importantly, CD8+ T cell enrichment was associated with greater multi-MiHA reactivities compared to non-enriched cultures, with up to three simultaneous MiHA reactivities upon multiple MiHA DC exposure (p<0.0001). In an attempt to develop a broad immunizing strategy, we also exposed T cells to the entire set of 98 MiHAs. While no significant difference was observed in DC phenotype upon MiHA pulsing, the 98-MiHA-mix resulted in superior expansion of MiHA-specific T cells with 88.5% of cultures showing MiHA reactivity. However, as the 98-MiHA-Mix contained both foreign and self MiHAs for a given donor, it also resulted in the expansion of a few anti-self MiHA specific T cells. Finally, we found that ex vivo stimulation with different MiHAs demonstrated variable levels of anti-MiHA responses. We therefore uncovered a hierarchy of MiHA most likely to be recognized and expanded from multiple donor repertoires and used in MiHA-directed T-cell therapy. This MiHA hierarchy was independent of predicted MiHA-HLA binding affinity. Conclusions: MiHA-specific T cell expansion resulting from the use of multiple peptides and CD8 enrichment, along with the identification of a hierarchy of MiHA immunoreactivity should translate into significant improvement in adoptive cell therapy and will be tested soon in a Phase I clinical trial for patients with high-risk blood cancers.

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 enseignants0,003
Score d'incertitude au seuil0,008

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)0,0030,001

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.

Tête enseignante Opus0,036
Tête enseignante GPT0,326
Écart entre enseignants0,290 · 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

Citations0
Publié2024
Routes d'admission1
Résumé présentoui

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