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Enregistrement W2588762403 · doi:10.1182/blood.v116.21.290.290

The Anti-Malarial Mefloquine Demonstrates Preclinical Activity In Leukemia and Myeloma, and Is Dependent Upon Toll-Like Receptor Signaling for Its Cytotoxicity

2010· article· en· W2588762403 sur OpenAlexaff
Mahadeo A. Sukhai, Xiaoming Li, Rose Hurren, Xiaoming Wang, Hongxiang Sun, Marcela Gronda, Ayesh K. Seneviratne, Dilan Dissanayake, Sue Chow, Rod Bremner, David W. Hedley, Mark D. Minden, Ohashi Pamela, Aaron D. Schimmer

Notice bibliographique

RevueBlood · 2010
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueProtein Degradation and Inhibitors
Établissements canadiensPrincess Margaret Cancer CentreUniversity Health Network
Organismes subventionnairesnon disponible
Mots-clésMefloquineLeukemiaPharmacologyMedicineCytotoxic T cellBone marrowImmunologyBiologyMalariaIn vitroChloroquine

Résumé

récupéré en direct d'OpenAlex

Abstract Abstract 290 Known drugs with previously unrecognized anti-cancer activity can be rapidly repurposed for this new indication, given their prior safety and toxicity testing. To identify such compounds, we compiled and screened an in-house library of on-patent and off-patent drugs and screened them to identify agents cytotoxic to hematologic malignancies. From this screen, we identified mefloquine, a quinoline licensed for malaria treatment and prophylaxis. In secondary assays, leukemia and myeloma cell lines were treated with mefloquine for 72 hours and cell viability measured by MTS. Mefloquine decreased the viability of 10/10 human and murine leukemia (LD50 <8.0 μM) and 9/9 human myeloma (LD50 <5.0 μM) cell lines; cell death was confirmed by Annexin V staining. Mefloquine also reduced the viability of 6/6 primary AML samples with LD50 < 5 μ M. These concentrations of mefloquine appear pharmacologically achievable based on prior studies conducted in the context of malaria treatment. In contrast to the effects on malignant cells, mefloquine was significantly less cytotoxic to normal hematopoietic cells (LD50 31.83 ± 5.38 μM) and murine monocyte-derived dendritic cells (LD50 17.56 ± 2.69 μM), Given its in vitro activity, we evaluated the effects of oral mefloquine in mouse xenograft models of leukemia and myeloma. Sublethally irradiated SCID mice were injected subcutaneously with OCI-AML2 or K562 human leukemia cells, MDAY-D2 murine leukemia cells, or LP1 human myeloma cells, and treated with 50 mg/kg mefloquine, or vehicle alone, by gavage. Oral mefloquine delayed tumor growth by up to 60% in all 4 mouse models without toxicity at doses that appear pharmacologically relevant to humans based on scaling for body surface area. Mefloquine's mechanism of action as an anti-malarial agent is unknown. Therefore, to determine the mechanism by which mefloquine induced cell death in malignant cells, we performed gene expression oligonucleotide array analysis of mefloquine-treated OCI-AML2 cells. At times preceding cell death, mefloquine altered the expression of genes associated with Toll-like receptor (TLR) signaling. For example, we detected 4.5-fold up-regulation of STAT1 and >10-fold up-regulation of its downstream targets, including OAS1, IFIT3 and TRIM22, by 24 hr after treatment. Upregulation of additional TLR targets IRF1, IRF7 and IL-8 was also noted by 8 hours after treatment. Mefloquine also induced early activation of NF-κB with a 2.5± 0.2-fold increase noted after 1 hr, using an ELISA-based DNA binding assay. In contrast to TLR activation in malignant cells, changes in TLR targets were not detected in mefloquine-resistant normal dendritic cells, suggesting that mefloquine's effects on TLR signaling were specific to malignant cells. We next investigated whether TLR activation was functionally important for mefloquine's cytotoxicity in malignant cells. STAT1 activity was required for mefloquine-mediated cell death, as U4A bladder sarcoma cells lacking JAK1 were resistant to mefloquine (LD50 14.6± 4.9 μM), compared to the mefloquine sensitive parental line (LD50 2.3± 0.4 μM). TLR signaling requires the immediate downstream adapter proteins MyD88 and TRIF1. To assess the functional importance of TLR activation for mefloquine induced cell death, we knocked down MyD88 and TRIF1 with siRNA. Double knockdown of MyD88 and TRIF1 completely abrogated mefloquine-induced cell death in K562 leukemia cells at concentrations where control cells exhibited up to 80% loss of viability. TLR signaling and up-regulation of STAT1 can increase reactive oxygen species (ROS) generation. Therefore, we measured ROS generation in leukemia cells after mefloquine treatment. Mefloquine increased ROS production in leukemia cells in a dose-dependent manner within 24 hr. Co-treatment with the ROS scavenger N-Acetyl-L-Cysteine abrogated mefloquine-induced ROS production and cell death. Mefloquine-induced ROS production was also abrogated in MyD88 and TRIF1 double knockdown cells. Our data suggest that the known anti-malarial mefloquine displays preclinical activity in leukemia and myeloma through a mechanism related to TLR activation. Thus, these results highlight TLR activation as a novel therapeutic strategy for the treatment of leukemia and myeloma. Moreover, given its prior toxicology and pharmacology testing, mefloquine could be rapidly advanced into clinical trial for patients with leukemia and myeloma. 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 enseignants0,003
Score d'incertitude au seuil0,011

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 recherche0,0000,001
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 Opus0,012
Tête enseignante GPT0,265
Écart entre enseignants0,253 · 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
Publié2010
Routes d'admission1
Résumé présentoui

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