Marcks Peptide Inhibitor Displays Synergistic Cytotoxicity with Bortezomib in Drug Resistant Multiple Myeloma Cells but Enhances Autophagic Effect
Notice bibliographique
Résumé
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.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».