Abstract 2799: Unexpected sustained hypoxic glutamine metabolism and therapeutic opportunities
Notice bibliographique
Résumé
Abstract Rationale: As the result of genetic alterations and tumor hypoxia, cancer cells re-program metabolism to meet increased energy demand for enhanced anabolism, cell proliferation, and protection from oxidative damage and cell death signals. Whereas glycolysis and its regulation by the MYC oncogene product (Myc) have been intensively studied, glutaminolysis and anapleurosis, especially under hypoxia, have not been defined. Objectives: We sought to determine whether glutamine, a key source of nitrogen and anabolic carbon skeleton for mammalian cells, is still utilized under hypoxic condition and how it is regulated by MYC. Methods: We used NMR and FT-ICR-MS to resolve 13C and 15N labeling patterns of metabolites derived from labeled glutamine or glucose in the P493 human B lymphoma model that bear a tetracycline-repressible MYC, under normoxic and hypoxic conditions. Levels of specific enzymes, which are involved in glucose and glutamine metabolism, were determined by immunoblotting and LC-MRM-MS and compared with the metabolomic profiles. Measurements and Main Results: Myc regulates almost the entire glycolytic pathway. As expected for hypoxia, many glycolytic enzymes levels and lactate production were elevated, and 13C- glucose catabolism by the TCA cycle was significantly diminished. Myc elevated glutaminase (GLS, which converts glutamine to glutamate and NH4+), the glutamine transporter SLC1A5, and the transaminases GOT1 and GPT2, suggesting that transamination is favored with Myc activation. While GLS-mediated NH4+ release persisted under hypoxia, the Myc-induced transaminases favor the production of α-ketoglutarate without additional NH4+ production. The 13C labeling pattern of Ala is consistent with active mitochondrial GPT2 that transaminates 13C-pyruvate derived from 13C- glucose. Given that mitochondrial function is generally believed to be diminished by hypoxia, glutamine metabolism unexpectedly persisted in hypoxia with continued oxidation of glutamine carbons by the TCA cycle. The key enzymes and main products of 13C labeled glutamine were not decreased by hypoxia, and glutamine contributed to substantial de novo glutathione production in hypoxia. Because glutamine metabolism is sustained in hypoxia, which is pervasive in the tumor microenvironment, we sought to target glutaminase in vivo. We found that small molecule inhibition of glutaminase could diminish lymphoma and pancreatic cancer xenograft growth in vivo. Conclusions: Our studies reveal a previously unsuspected sustained glutamine metabolism in hypoxia. Glutamine contributes to TCA cycle carbons as well as enhances glutathione synthesis in hypoxia, suggesting that cancer cells reprogram metabolism via both glucose and glutamine to adapt to the tumor microenvironment. Our findings indicate that key nodal points in glutamine metabolism in addition to those in glycolysis could be targeted for therapy. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 2799. doi:10.1158/1538-7445.AM2011-2799
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 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) | 0,002 | 0,001 |
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 ».