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Enregistrement W2985753725 · doi:10.1182/blood-2019-128740

Proteasome Inhibitors Impair the Innate Antiviral Immune Response and Potentiate Pelareorep-Based Viral Therapy in Multiple Myeloma

2019· article· en· W2985753725 sur OpenAlexaff
Ada Donà, Domenico Viola, Enrico Caserta, Francesca Besi, James F. Sanchez, Guido Marcucci, Jonathan J. Keats, Amrita Krishnan, Matt Coffey, Douglas W. Sborov, Gerard J. Nuovo, Craig C. Hofmeister, Flavia Pichiorri

Notice bibliographique

RevueBlood · 2019
Typearticle
Langueen
DomaineMedicine
ThématiqueCytomegalovirus and herpesvirus research
Établissements canadiensOncolytics Biotech (Canada)
Organismes subventionnairesnon disponible
Mots-clésCarfilzomibPeripheral blood mononuclear cellApoptosisProteasome inhibitorBortezomibBone marrowBiologyCancer researchMultiple myelomaImmunologyCD14Immune systemCancer cellVirologyMedicineCancerIn vitro

Résumé

récupéré en direct d'OpenAlex

INTRODUCTION: Pelareorep is the infusible form of human reovirus (RV). Our single-agent phase 1 RV trial in relapsed multiple myeloma (MM) showed that pelareorep treatment selectively infected MM cells, as viral RNA was found in myeloma cells and not the bone marrow (BM) stroma. However, we did not observe apoptosis. Our ongoing phase 1 trial, which combines the proteasome inhibitor carfilzomib with RV, has demonstrated RV infection, apoptosis, and clinical responses. We investigated the molecular mechanisms behind the role of a PI (carfilzomib) in this setting. RESULTS: In all MM cell lines we tested (n=4), independently from their sensitivity to RV infection (Stiff et al., Mol Cancer Ther, 2016), viral replication and apoptosis was impaired when MM cells were directly exposed to PIs (carfilzomib and bortezomib). When this experiment was repeated in the setting of the bone marrow cellular fraction or peripheral blood mononuclear cells (PBMCs), it had the opposite effect, as the addition of PI to RV increased RV replication and apoptosis in MM cells. When we washed PBMCs after overnight exposure to RV+PI or to either single agent, then added MM cells, we observed higher infection and apoptosis in cancer cells co-cultured with RV+PI compared to levels from PBMCs treated with each of the single agents, suggesting that PIs increase the ability of PBMCs to serve as a reservoir for infectious reovirus. Monocytes (CD14+) can engage in phagocytosis of reovirus (Berkeley et al., Cancer Immunol Res, 2018), and accordingly we found that RV genome and capsid protein production were detected in CD14+ cells, but not in CD14-depleted PBMCs, and increased upon PI treatment compared to that in RV-treated CD14+ cells. Given that the NF-κB complex is a key proinflammatory signaling pathway associated with the early innate-antiviral immune response, and because PIs can block the degradation of the NF-κB inhibitor IκBα upon phosphorylation, we investigated the effect of the specific IκBα inhibitor Bay-11 in RV viral replication. Our data show that either PI or Bay-11 can inhibit RV-induced IκBα phosphorylation and its subsequent degradation upon RV infection in CD14+ cells, an effect associated with higher capsid formation in RV-treated CD14+ cells in combination with PI or Bay-11, compared to levels from RV alone. Cytokine profiling in PBMCs and CD14+ cells treated with RV in combination with either PI or Bay-11 showed a significant decrease in IFN-α and IFN-β (IFNs) levels and a concomitant increase in RV replication, in contrast to levels from RV alone (p<0.001). We then decided to investigate whether CD14 depletion could affect RV delivery to the cancer cells invivo. Upon intra-femoral injection of 5TGM1 MM cells into syngeneic C57BL/KaLwRij mice, the mice in which the monocytes were depleted by clodronate-liposome treatment before intravenous RV injection showed lower capsid protein formation in the BM MM cells compared to that in mice where the monocytic population was intact. Because monocytes respond to infection by dividing into macrophages to eliminate pathogens, we wanted to investigate whether PI could impair this effect. Intriguingly, although higher levels of viral genome were detected in PI+RV-treated CD14+ cells compared to RV-treated cells (p<0.01), PI abolished ex-vivo RV-induced monocyte differentiation (n=3, p<0.001), without affecting the ability of RV-infected CD14+ cells to induce higher MM cell killing as compared to that from the CD14+ fraction treated with either single agent. Immune killing assays showed that RV-infected MM cells are more susceptible than non-infected cells to T cell effectors (p<0.001), a mechanism that is further potentiated by the addition of PI. In fact, in contrast to the PI-induced blocking of monocyte expansion and activation in response to the virus (n=3, p<0.001), our data suggest that the PI potentiate the expansion of CD8+ T cells, both ex vivo and in two RV+PI treated patients we analyzed so far. CONCLUSIONS: Here we report for the first time that PIs enhance pelareorep entry, infection, and killing of myeloma cells through its effect on the CD14+ fraction. Reovirus infection and replication within CD14+ cells are augmented by PI-induced NF-κB inhibition of the early innate pro-inflammatory immune response. We also report for the first time that carfilzomib induces direct T cell activation and potentiates T cell killing activity against RV-infected MM cells. Disclosures Krishnan: Takeda: Research Funding; Celgene, Z Predicta: Other: Stock Ownership; Amgen, Takeda: Speakers Bureau; Sutro BioPharma, zPredicta: Consultancy; Celgene, Janssen, Sanofi, BMS: Consultancy. Sborov:Celgene: Honoraria; Janssen: Consultancy. Hofmeister:Nektar: Honoraria, Membership on an entity's Board of Directors or advisory committees; Karyopharm: Membership on an entity's Board of Directors or advisory committees; Imbrium: Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria; Janssen: Membership on an entity's Board of Directors or advisory committees; Oncopeptides: Membership on an entity's Board of Directors or advisory committees.

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 seuil0,009

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
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)0,0030,000

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 Opus0,015
Tête enseignante GPT0,267
Écart entre enseignants0,252 · 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
Publié2019
Routes d'admission1
Résumé présentoui

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