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Enregistrement W4417011724 · doi:10.1182/blood-2025-914

Enhanced efficacy of TRAIL or TRAIL-CD28 chimera armored anti-BCMA CAR T cells in multiple myeloma

2025· article· en· W4417011724 sur OpenAlexaff
Mansour Poorebrahim, David Jung, Holly Lee, Sacha Benaoudia, Sungwoo Ahn, Noémie Leblay, Sejal Chikhale, Elham Hasheminasabgo, Anja Barbour, Lawrence Boise, Paola Neri, Nizar J. Bahlis

Notice bibliographique

RevueBlood · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueCAR-T cell therapy research
Établissements canadiensUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésChimeric antigen receptorChimera (genetics)CD28T cellMultiple myelomaImmunotherapyJurkat cellsCell cultureReceptor

Résumé

récupéré en direct d'OpenAlex

Abstract Background: While BCMA-targeted CAR-T cell therapies have shown promising response rates in multiple myeloma (MM), most patients ultimately relapse. Tumoral intrinsic and extrinsic factors contribute to CAR T cell resistance. Amongst CAR T cell-intrinsic limitations, poor expansion and persistence (typically 3–6 months in MM), exhaustion, and loss of early memory phenotypes, are major drivers of treatment failure. Our single-cell transcriptomic profiling of T cells from MM patients with durable remissions post anti-BCMA CAR T therapy identified high expression of the death receptor ligand TNFSF10 (encoding for TRAIL) as well as the T cell costimulatory receptor CD28 in their CAR T cells. Previous report also identified that FADD (FAS associated death domain) or TNFRSF10B (encoding DR5 also know TRAIL-R2) knock-out abrogated anti-CD19 CAR T cell efficacy. Given these observation, we first sought to explorewhether armoring anti-BCMA CAR-T cells with TRAIL or a chimeric TRAIL-CD28 fusion will enhance their cytolytic function, and second to examine whether the TRAIL-CD28 chimera will attenuate any potential fratricide effect induced by TRAIL overexpression. Methods: We engineered third-generation anti-BCMA CAR constructs (scFv-4-1BB-CD3ζ) into the pLX307 lentiviral backbone, with or without co-expression of TRAIL or a chimeric TRAIL-CD28 molecule (TRAIL extracellular/transmembrane domain fused to CD28 intracellular domain). Functional assays were performed in MM cell lines, including teclistamab-resistant and NFκB-activated (TRAF3 CRISPR knockout) MM cell lines that were in vitro derived to acquire BCMA-antigen independent relative resistance to TCE and CAR T cells. Co-cultures were performed under standard and exhaustion-inducing conditions (e.g., high tumor burden; E:T = 1:5 and repeated stimulation). Cytotoxicity, CAR-T cells phenotype, and viability were assessed using flow cytometry. Co-cultures with healthy donor PBMCs and normal bone marrow cells were conducted to evaluate off-tumor toxicity. In vivo functional evaluations of these TRAIL engineered CAR were performed in NSG mice that were systemically injected OPM2 TRAF3KO cells (stably transduced with firefly luciferase). Results: We first evaluated the of role of the death receptors axis and granzymes in mediating anti-BCMA CAR T cells cytolytic activity. To this extent KMS12BM myeloma cell lines were engineered to KO FADD or TRAIL-R2 (DR5) or overexpress Cowpox virus protein CrmA to inhibit caspase 8 downstream of death receptors or overexpress the granzyme B inhibitor Serpin B9. Co-culture studies of these cell lines with anti-BCMA CAR T unarmored or TRAIL-armored cells confirmed the significant contribution of TRAIL to CAR T cell activity since death receptor blockade (in FADD- or TRAIL-R2 KO cells) and similar to granzyme B inhibition, significantly attenuated MM cell death. Consistent with these observations, TRAIL-armored anti-BCMA CAR-T cells exhibited enhanced cytotoxicity against a library of MM cell lines including cells with lower TRAIL-R1/TRAIL-R2 expression. This enhanced activity of the TRAIL armored CAR was also particularly evident under stress conditions such as chronic stimulation and low E:T ratios. This effect extended to teclistamab-resistant and NFκB-activated MM cell lines models where unarmored CAR-T cells showed limited efficacy. Importantly, no cytotoxicity of the TRAIL-armored CAR was observed against healthy PBMCs or bone marrow–resident cells, consistent with their low or absent TRAIL-R1/TRAIL-R2 expression. As anticipated, TRAIL overexpression induced mild CAR T cells fratricide (< 10%) however only at high CAR-T cell culture densities. This fratricide effect was substantially abrogated in anti-BCMA CARs transduced with the TRAIL-CD28 chimera, which also provided CD28-mediated pro-survival signals. TRAIL-CD28–armored CAR-T cells maintained robust BCLxL expression and a favorable phenotypes with enriched naïve and central memory cells. Lastly, the in vivo NSG mice studies, demonstrated that both TRAIL- and TRAIL-CD28–armored CAR-T cells induced superior tumor clearance compared to unarmored CAR-T cells. Conclusion: TRAIL and TRAIL-CD28 armoring significantly enhances anti-BCMA CAR-T cell efficacy, especially in resistant MM models, through death receptor-mediated tumor killing and CD28-driven survival signaling. These constructs demonstrate activity, supporting their development as next-generation CAR-T therapies.

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 enseignants0,001
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 savante0,0000,000
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 Opus0,026
Tête enseignante GPT0,305
Écart entre enseignants0,279 · 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
Publié2025
Routes d'admission1
Résumé présentoui

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