Abstract A067 Unlocking asparaginase resistance: MondoA's role in pediatric B-ALL's adaptation to nutrient scarcity
Notice bibliographique
Résumé
Abstract Background: MLXIP (Myc-associated factor X-like protein X-interacting protein), also known as MondoA, is a crucial metabolic sensor that we found to promote malignancy in pediatric acute lymphoblastic B-cell leukemia (B-ALL). In our group’s previous work, a link between MondoA overexpression and resistance to glutamine deprivation (GD) was observed, though the mechanisms are not yet completely understood. Aim: To further understand the behavior of leukemia cells during amino acid shortage, we conducted experiments with L-asparaginase (ASNase), an enzyme used in leukemia treatment, to deprive cells of asparagine (ASN) and, to a lesser extent, of glutamine (GLN). Methods and Results: RNA expression and proteomic analysis of MondoA knockout (MKO) revealed a downregulation of asparagine synthetase (ASNS), an enzyme crucial for ASNase sensitivity. This trend was reproducible in publicly available gene expression data of leukemic patients (UCSC Xena). Downregulated proteins involved in pyruvate metabolism as well as the Tricarboxylic acid (TCA) cycle (e.g. citrate synthase and mitochondrial aconitase) indicated an insufficient isocitrate production in MKO. Conversely, isocitrate dehydrogenases (IDH2 and IDH3) were upregulated. There was no alteration in the enzymes further along the cycle that utilize α-KG as a substrate. We measured relative cell viability of Nalm6 B-ALL cells under different metabolic and treatment conditions, as well as with the rescue substrate α-KG. MKO showed a faster loss of viability after ASNase treatment compared to MondoA-expressing cells. A similar trend was observed under glutamine deprivation (GD). As ASNS converts GLN to ASN, we assessed the effects of combined ASN and GLN starvation. Coherent with our hypothesis, MondoA sufficient cells had a strongly diminished advantage under these conditions. Notably, the addition of α-ketoglutarate (αKG) to MKO cells mitigated the effects of ASNase and GD as well as it improved cell viability in normal media. Of interest, α-KG can also be derived from glutamine through glutaminolysis. This appears to be sufficient to sustain MKO cell growth even under conditions of GD, albeit at a reduced rate. Thus, a compromised TCA cycle in MKO cells can be overcome by αKG-substitution, compensating reduced pyruvate metabolism. Conclusion: Our results demonstrate the importance of MondoA in the metabolic adaptation of leukemia cells under nutrient deprivation. The genetic inactivation of MondoA expression leads to decreased viability of the cells under metabolic stress conditions likely due to impaired ASNS expression and a disrupted TCA cycle. In perspective, these data suggest that MondoA expression could be a critical factor in determining the efficacy of L-asparaginase therapy and predicting outcomes for pediatric B-ALL patients. Citation Format: Alissia Fernandes Madeira, Constantin Segner, Christian Brückner, Alisa Kolesnikova, Mansour Poorebrahim, Busheng Xue, Alexandra Sipol, Poul Sørensen, Julia Hauer, Stefan Burdach. Unlocking asparaginase resistance: MondoA's role in pediatric B-ALL's adaptation to nutrient scarcity [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pediatric Cancer Research; 2024 Sep 5-8; Toronto, Ontario, Canada. Philadelphia (PA): AACR; Cancer Res 2024;84(17 Suppl):Abstract nr A067.
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 | 0,001 | 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) | 0,004 | 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 ».