Morphine Reduces Tumor Growth in Glioma Mouse Xenograft through Modulation of IDH1 Activity and Metabolic Reprogramming
Notice bibliographique
Résumé
Background Isocitrate dehydrogenase 1 (IDH1) is a key extra‐mitochondrial enzyme, responsible for converting isocitrate to α‐ketoglutarate. In low grade gliomas, IDH1 is often mutated (Arg132His), altering the enzymatic product to the oncometabolite 2‐hydroxyglutarate (2HG) and inducing drastic metabolic reprogramming 1 . 2HG also inhibits DNA demethylases thus causing DNA hypermethylation. Contrary to expectation, IDH1 mutation slows tumor growth and increases susceptibility to antineoplastic agents, improving patient outcome 2 . We previously found that morphine, a commonly used opiate for pain management in cancer patients, is a mixed partial inhibitor of wild type IDH1. We sought to determine if morphine's effect on IDH1 activity replicates the beneficial changes caused by IDH1 mutation. Methods U87 cells (IDH1 wild type) were treated with clinically relevant concentrations of morphine (0.1‐10µM) or equipotent hydromorphone for 7 days. Hydromorphone has no effect on IDH1 activity and served as a negative opiate control. DNA methylation was quantified by ELISA assay. Targeted metabolomics was performed using LC/MS. Mitochondrial function was determined using a Seahorse assay. The in vivo effect of morphine was tested using a mouse xenograft model (intraperitoneal U87 injection), with daily subcutaneous injections of morphine (5mg/kg or 10mg/kg) or hydromorphone (2mg/kg). Tumors at 30 days were measured by weight and histopathology. Cooperative capacity of morphine and the antineoplastic drug temozolomide (TMZ) was determined by measuring in vitro cell viability. Results We observed a dose‐dependent increase in both DNA methylation (91%, p<0.05) and 2HG oncometabolite levels (75%, p<0.01) relative to vehicle in morphine samples. Levels of 22 metabolites were uniquely affected by morphine (fig. 1). Pathway enrichment analysis highlighted changes to glutamate metabolism, glycolysis, and the pentose phosphate pathway, all previously implicated in the beneficial IDH1 mutant glioma phenotype. Consistent with metabolic reprogramming, morphine reduced basal and ATP‐coupled respiration (15%, p<0.01). Tumors from morphine treated mice were significantly smaller than vehicle (3.7‐fold, p<0.01). Histological staining of these tumors revealed increased apoptosis (172%, p<0.01) and reduced proliferation (26%, p<0.01) (fig. 2). Morphine potentiated the effect of TMZ, co‐treatment exhibited more cell death after 36 hours (18%, p<0.05) than either drug alone. Conclusion Our research has shown that morphine treatment, through its interaction with IDH1, is able to increase 2HG and DNA methylation. The opiate altered pathways significant in glioma metabolism and energy production. Moreover, it significantly reduced glioma tumor growth and enhanced the chemotherapeutic effect of TMZ, much like the known impact of the IDH1 mutation. We conclude that the interaction between morphine and IDH1 mimics the beneficial IDH1 mutation phenotype. Our research highlights the need for personalized medicine pathways, illustrating that that even the choice of opiate for pain management can potentially alter the course of oncologic disease. Sources 1. Dang, L. et al. Nature (2009) 2. Paldor, I. et al . J. Clin. Neurosci. (2016)
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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 | 0,001 |
| 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 ».