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Enregistrement W2920418016 · doi:10.1182/blood-2018-99-118361

Inhibition of Sialylation Impairs Adhesion on Madcam-1 and E-Selectin and Sensitize Multiple Myeloma Cells to Bortezomib in a Xenograft Mouse Model

2018· article· en· W2920418016 sur OpenAlexaff
Alessandro Natoni, Mariah Farrell, Heather Fairfield, Lucy Kirkham-McCarthy, Matt Macauley, Michaela R. Reagan, Michael O’Dwyer

Notice bibliographique

RevueBlood · 2018
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueGlycosylation and Glycoproteins Research
Établissements canadiensUniversity of Alberta
Organismes subventionnairesnon disponible
Mots-clésBortezomibCancer researchHoming (biology)Cancer cellBone marrowMultiple myelomaBiologyImmunologyChemistryCancerMedicineInternal medicine

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction Multiple myeloma (MM) is a cancer of clonal plasma cells that hijack the bone marrow (BM) niche to create a drug resistant, incurable malignancy. Aberrant sialylation has been linked to immune cell evasion, drug resistance, and metastasis in cancer; indeed sialyltransferases, including ST3GAL1, ST3GAL4 and ST3GAL6, are aberrantly expressed in many cancers (Glavey et al., 2014). We have previously shown that targeting ST3GAL6 in MM cells inhibits their ability to extravasate and colonize the BM in mouse models (Glavey et al., 2014). Moreover, we also showed that a subpopulation of MM cells expresses functional E-Selectin ligands which, upon expansion, gives rise to a more aggressive disease and resistance to bortezomib in mice (Natoni et al., 2017). Based off these findings, we herein investigated whether inhibiting sialylation in E-selectin-enriched MM cells with 3Fax-Neu5Ac, a small molecule sialyltransferase inhibitor, could alter the ability of these cells to home in the BM and restore bortezomib sensitivity in vivo. We hypothesized that inhibiting homing of MM cells to the BM will improve survival and that co-treatment with bortezomib and 3Fax-Neu5Ac will have a synergistic effect. Methods E-selectin ligands enriched MM1S cells (either positive or negative for GFP/Luciferase) were derived from parental cells by cell sorting using the HECA-452 antibody, which recognize sialofucosylated E-selectin ligands. We then determined the 3Fax-Neu5Ac dose and exposure times needed to decrease sialylation on these MM cells without causing toxicity. HECA-452-enriched MM1S cells were pretreated with 3Fax-Neu5Ac or vehicle for 7 days before being injected into SCID-beige mice and then treated with vehicle or bortezomib (0.3 mg/kg twice a week). Mice were analyzed via bioluminescence imaging (BLI) to monitor tumor progression and weighed twice a week. Mice were euthanized when they began to show paralysis under our IACUC protocol. 3Fax-Neu5Ac pretreated HECA-452 MM1S cells were also tested in vitro for their ability to adhere and roll on VCAM-1, MAdCAM-1 and E-Selectin under shear stress and to respond to bortezomib in co-culture with HS5 cells. Results Treatment of HECA-452 MM1S cells with 3Fax-Neu5Ac, at 300 μM for 7 days significantly reduced sialylation on these cells. Importantly, reducing sialylation with 3Fax-Neu5AC reduced tumor burden and increased survival, although this did not reach significance for survival (Figure 1A). Both vehicle- and 3Fax-Neu5Ac-treated cells significantly responded to bortezomib in the first 5 weeks of the in vivo study (Figure 1B). However, the HECA-452 MM1S cells did not show increased survival when treated with bortezomib suggesting an acquired mechanism of resistance in vivo. Importantly, pretreatment of the HECA-452 MM1S with 3Fax-Neu5Ac could improve survival of these mice preventing bortezomib resistance. In vitro, the HS5 stromal cells protected the HECA-452 MM1S cells from bortezomib and pretreatment with 3Fax-Neu5Ac partially reverted this protection. Moreover, the HECA-452 MM1S cells pretreated with 3Fax-Neu5Ac displayed reduced adhesion on MAdCAM-1 and E-selectin. Conclusions Sialylation plays an instrumental role in bone homing, BM colonization, and drug resistance of MM cells. Pretreatment of HECA-452 MM1S cells with 3Fax-Neu5Ac decreased their sialylation, restored sensitivity to bortezomib in vivo and prolonged survival in mice. This is likely because 3Fax-Neu5Ac pretreatment has multiple effects on MM cells including reducing cell adhesion mediated-drug resistance and adhesion to key molecules involved in BM homing such as MAdCAM-1 and E-selectin. The reduced adhesion on E-selectin is most likely due to the disruption of E-selectin ligands on the surface of MM cells as they require Sialyl Lewis X to function. Notably, we also found that de-sialylation impairs adhesion on MAdCAM-1 (3Fax-Neu5Ac vs DMSO P=0.038) which, together with E-selectin, is another critical BM homing receptor. This data suggests for the first time that sialylation may controls the affinity of integrin α4β7 and its counter-receptor MAdCAM-1. In turn, this would reduce BM homing and increase MM cells in the circulation were they are more prone to the cytotoxic effects of bortezomib. This study supports the importance of targeting sialylation in MM and provides a strong rationale for further clinical translation of this novel approach. Disclosures O'Dwyer: Glycomimetics: Research Funding; Celgene: Research Funding; BMS: Research Funding; Abbvie: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Onkimmune: Equity Ownership, Membership on an entity's Board of Directors or advisory committees, Research Funding.

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 enseignants0,002
Score d'incertitude au seuil0,008

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,000
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)0,0020,000

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 Opus0,010
Tête enseignante GPT0,249
Écart entre enseignants0,239 · 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
Publié2018
Routes d'admission1
Résumé présentoui

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