Abstract PR08: Lactate dehydrogenase A is a pharmacologically tractable EWS-FLI1 transcriptional target that regulates the glycolytic dependence of Ewing sarcoma
Notice bibliographique
Résumé
Abstract Altered cellular metabolism, including an increased dependence on aerobic glycolysis, is a hallmark of cancer. Despite the fact that this observation was first made nearly a century ago, effective therapeutic targeting of glycolysis in cancer has remained elusive. One potentially promising approach involves targeting the glycolytic enzyme lactate dehydrogenase (LDH), which is overexpressed and plays a critical role in several cancers. To uncover cell type-specific dependencies to LDH, we screened a diverse panel of 94 cancer cell lines for responsiveness to two novel LDH A/B inhibitors developed through the NCI Experimental Therapeutics Program (NExT). We found that Ewing sarcoma (EWS) cell lines were exquisitely sensitive, with IC50 values approximately ten-fold below the median IC50 of the panel. To understand the mechanism behind this sensitivity, we genetically knocked down LDHA and LDHB using siRNA, and discovered that EWS cell lines were sensitive to loss of LDHA only, which inhibited proliferation and induced apoptosis. Notably, treatment of EWS cells with the LDH inhibitors phenocopied these effects. Additionally, genetic knockdown of EWS-FLI1, the oncogenic driver of EWS, resulted in loss of LDHA, but not LDHB. Analysis of publicly available ChIP-seq data generated using shFLI1-transfected EWS cells revealed that LDHA, but not LDHB, is directly regulated by EWS-FLI1. Functional mechanistic studies of glycolytic intermediates and cellular bioenergetics in EWS cells treated with the LDH inhibitors demonstrated that loss of viability was due to impairment of glycolysis, which occurred both in vitro and in vivo, and perturbation of the NAD+/NADH ratio. The translational potential of these compounds was next evaluated using in vivo analyses of pharmacokinetics, pharmacodynamics, efficacy, and toxicity. Intravenous administration of the LDH inhibitors resulted in diminished LDH activity, reduction of the lactate-to-pyruvate ratio, tumor cell necrosis, and a decrease in tumor growth rate in aggressive xenograft models of EWS. The major dose-limiting toxicity observed was hemolysis, indicating that a narrow therapeutic window exists for these compounds. Taken together, our data suggest that targeting glycolysis through inhibition of LDH should be further investigated as a potential therapeutic approach for cancers such as EWS that exhibit oncogene-dependent expression of LDH and increased glycolytic activity. This abstract is also being presented as Poster B33. Citation Format: Choh Yeung, Anna E. Gibson, Sameer H. Issaq, Nobu Oshima, Marielle E. Yohe, Haiyan Lei, Ganesha Rai, Daniel J. Urban, Michelle S. Johnson, Gloria A. Benevides, Giuseppe L. Squadrito, Sandy Eldridge, John Hamre III, Arnulfo Mendoza, Jack F. Shern, Lee J. Helman, Murali C. Krishna, Matthew D. Hall, Victor M. Darley-Usmar, Leonard M. Neckers, Christine M. Heske. Lactate dehydrogenase A is a pharmacologically tractable EWS-FLI1 transcriptional target that regulates the glycolytic dependence of Ewing sarcoma [abstract]. In: Proceedings of the AACR Special Conference on the Advances in Pediatric Cancer Research; 2019 Sep 17-20; Montreal, QC, Canada. Philadelphia (PA): AACR; Cancer Res 2020;80(14 Suppl):Abstract nr PR08.
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) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,003 |
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 ».