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Record 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 on OpenAlexaff
Alessandro Natoni, Mariah Farrell, Heather Fairfield, Lucy Kirkham-McCarthy, Matt Macauley, Michaela R. Reagan, Michael O’Dwyer

Bibliographic record

VenueBlood · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGlycosylation and Glycoproteins Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsBortezomibCancer researchHoming (biology)Cancer cellBone marrowMultiple myelomaBiologyImmunologyChemistryCancerMedicineInternal medicine

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.249
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2018
Admission routes1
Has abstractyes

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