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Enregistrement W2595210719 · doi:10.1182/blood.v128.22.2061.2061

Marcks Peptide Inhibitor Displays Synergistic Cytotoxicity with Bortezomib in Drug Resistant Multiple Myeloma Cells but Enhances Autophagic Effect

2016· article· en· W2595210719 sur OpenAlexaff
Lun Zhang, Jahangir Abdi, Minjing Wang, Nasrin Rastgoo, Hong Chang

Notice bibliographique

RevueBlood · 2016
Typearticle
Langueen
DomaineMedicine
ThématiqueMultiple Myeloma Research and Treatments
Établissements canadiensUniversity Health NetworkToronto General HospitalUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésMARCKSBortezomibCytotoxicityApoptosisCytotoxic T cellCancer researchCell cultureProteasome inhibitorChemistryProgrammed cell deathViability assayPharmacologyPhosphorylationMolecular biologyBiologyMyristoylationMultiple myelomaBiochemistryImmunologyIn vitro

Résumé

récupéré en direct d'OpenAlex

Abstract Myristoylated alanine-rich C kinase substrate (MARCKS) is a protein which has recently been connected to the progression of multiple cancer types including multiple myeloma (MM). MARCKS can be phosphorylated and then activated by several PKCs in its phosphorylation site domain (PSD). All known biological functions of MARCKS including its oncogenic effects are conducted by its phosphorylated form. Although in an earlier study we have shown that MARCKS knocking down could lead to cell cycle arrest and apoptosis in drug resistant MM cell lines, whether it is possible to antagonize drug resistance of MM cells by inhibitors of MARCKS phosphorylation is still unclear. Here we investigated the anti-myeloma activity of MARCKS inhibitors in MM cells by applying MARCKS PSD peptide inhibitor (MPS), a validated 25-amino-acid peptide targeting the MARCKS PSD. Two drug resistant MM cell lines MM1R and 8226R5 as well as normal peripheral blood mononuclear cells (PBMCs) derived from three healthy volunteers were exposed to MPS for 48 hours. Compared with its mutated (inactive) form, treatment of this inhibitor led to a dose dependent cytotoxic effect on drug resistant MM cells, while it did not affect cell viability of normal PBMCs. Furthermore, MPS treatment significantly sensitized MM1R and 8226R5 cells to bortezomib exposure after 48 hrs. Co-treatment of these two agents exhibited synergistic effect on both of the above resistant MM cell lines (on 8226R5, the combination index (CI) = 0.79; on MM1R, CI=0.88). We next investigated the mechanisms by which MPS may induce cell death and overcome bortezomib resistance. Following MPS treatment, accumulation of p27Kip1as well as dampened phosphorylation of Akt1 were identified both in MM1R and 8226R5 MM cell lines, indicating that MPS treatment may lead to cell cycle arrest and growth suppression. Interestingly, the level of LC3BII, a marker of autophagy, was also significantly upregulated, which suggested an enhancement of autophagic activity after MARCKS inhibition. To confirm the correlation between MARCKS inhibition and autophagy induction, we knocked down MARCKS by transfecting shRNA lentiviral vectors into above drug resistant MM cells. Western blots showed a significantly upregulated LC3BII in both cell lines with MARCKS silencing, compared with cells transfected by scrambled shRNA. Accumulation of lysosomes as well as autophagosomes was also observed separately via cellular staining with acridine orange and florescence-labeled LC3BII antibody. Upregulation of autophagy has been tightly related to the induction of drug resistance in cancer cells. Thus, drug resistant MM cells with impaired MARCKS activity may become more dependent on the pro-survival outcome of autophagy when exposed to anti-tumor drugs like bortezomib. To examine this hypothesis, both MARCKS-silenced MM1R and 8226R5 cells as well as negative control cells expressing scramble shRNA were co-treated with bortezomib and autophagy inhibitor chloroquine (CQ) for 48hrs. MTT assays showed that the combination of CQ and bortezomib resulted in more cell death in MARCKS-silenced drug resistant MM cells than negative control cells (~40% and ~30% more cell death in MM1R (p<0.01) and 8226R5 (p<0.05) cell lines, respectively). In MARCKS-silenced cells, synergistic effects of CQ and bortezomib were also more significant than in negative control cells. Hence depletion of MARCKS activity makes MM cells more vulnerable to bortezomib when cellular autophagic activity is intercepted. We are currently examining the in vivo activity of MPS using xenograft mice models. Taken together, our results indicate that MPS peptide is effective in killing myeloma cells by inhibition of phosphorylation of MARCKS but also enhances autophagic response. This previously unappreciated correlation between MARCKS suppression and autophagy enhancement suggests that the combination of bortezomib, MARCKS inhibitor, as well as autophagy antagonists like chloroquine may contribute to the development of novel MM therapies. Disclosures No relevant conflicts of interest to declare.

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 seuil0,004

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 recherche0,0000,000
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 Opus0,007
Tête enseignante GPT0,241
Écart entre enseignants0,234 · 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

Citations3
Publié2016
Routes d'admission1
Résumé présentoui

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