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Enregistrement W4310161884 · doi:10.1182/blood-2022-162652

Uncovering Distinct Metabolic Properties of Relapse and Relapse-Fated Clones in B-Cell Acute Lymphoblastic Leukemia

2022· article· en· W4310161884 sur OpenAlexaff
Sabrina Smith, Laura Garcia Prat, Mohsen Hosseini, Liqing Jin, Nathan Mbong, Monica Doedens, Jessica McLeod, Julie A. Reisz, Rebecca B. Wilkerson, Angelo D’Alessandro, Steven M. Chan, Courtney L. Jones, John E. Dick

Notice bibliographique

RevueBlood · 2022
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Lymphoblastic Leukemia research
Établissements canadiensPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
Organismes subventionnairesnon disponible
Mots-clésclone (Java method)CancerBiologyChemotherapyAcute lymphocytic leukemiaSomatic evolution in cancerCancer researchOncologyLeukemiaImmunologyInternal medicineMedicineGeneGeneticsLymphoblastic Leukemia

Résumé

récupéré en direct d'OpenAlex

B-cell ALL (B-ALL) accounts for 80% of pediatric and 75% of adult cases of ALL. Although primary treatment is often effective, 15-20% of pediatric, and 40-50% of adult patients will relapse. Upon relapse, disease is often resistant to treatment and survival is poor. Thus, there is an unmet need to identify patients at risk of relapse earlier and develop treatments to target relapse-fated cells before they fully evolve and progress to relapse. Through xenografting of primary patient samples at clonal doses and sequencing of both xenograft and bulk patient samples, our lab previously discovered a set of minor genetic B-ALL subclones which are present at diagnosis and fated to initiate relapse (Dobson, Cancer Discovery, 2020). These subclones, termed diagnosis relapse initiating clones (dRIs), have a phenotype intermediate to diagnosis and relapse clones, with dRIs sharing many features of relapse clones. Relapse and dRI clones possess chemotherapy drug tolerance and a unique metabolism, including enrichment of genes involved in oxidative phosphorylation (OXPHOS). Altered metabolism (increased OXPHOS) causes chemotherapy resistance in acute myeloid leukemia (AML; Farge, Cancer Discovery, 2017). Thus, we have focused our study on the unique metabolism of dRI and relapse clones as compared to the dominant diagnosis clone to determine if metabolism and chemotherapy resistance are linked in dRI and relapse B-ALL clones, which can be leveraged to target these clones therapeutically. We discovered metabolic phenotypes are highly consistent across the individual clonal populations (diagnosis, dRI, and relapse) belonging to the DUX-4 subtype of B-ALL. To functionally validate increased OXPHOS in dRI, and relapse clones compared to diagnosis clones, as predicted by enrichment analysis, we performed the SeaHorse Mito Stress Test on diagnosis, dRI, and relapse clones from patient derived xenografts. ATP production, a measure of relative ATP demand, was significantly increased in relapse clones compared to diagnosis clones of the DUX-4 subtype. dRI clones had a trend for ATP production that was intermediate to diagnosis and relapse clones. As another approach to evaluate the reliance of dRI and relapse clones on OXPHOS we developed an in vitro drug assay in which we cultured diagnosis, dRI, and relapse clones with the drug venetoclax, which has been shown to target OXPHOS independent of BCL-2 expression and is used clinically to treat other leukemias, including chronic lymphocytic leukemia and AML. Diagnosis, dRI, and relapse clones all showed a decrease in viability upon treatment with venetoclax. However, there was a greater proportional decrease in viability relative to the vehicle control in relapse clones than in diagnosis and dRI clones with the dRI clones being intermediate. To examine global differences in the metabolism of diagnosis, dRI, and relapse clones we performed mass spectrometry-based metabolomics. DUX-4 relapse clones had depletion of TCA cycle intermediates compared to diagnosis clones. The abundance of TCA cycle intermediates in dRI clones was between that of diagnosis and relapse clones. The observed depletion of TCA cycle intermediates in relapse and dRI clones may indicate increased TCA cycle activity to fuel the increased OXPHOS observed in relapse and dRI clones compared to diagnosis clones. Through our global metabolomics analysis, we also observed significant decrease in the abundance of long chain fatty acids in DUX-4 relapse clones compared to diagnosis clones, with a trend for dRIs intermediate to diagnosis and relapse clones. These findings suggest long chain fatty acids may undergo fatty acid oxidation (FAO) where fatty acids are converted to acetyl-CoA, which enters the TCA cycle to generate NADH and FADH2 to fuel the increased OXPHOS observed in relapse and to a lesser extent dRI clones; a hypothesis we are testing. Together, our data shows that dRI and relapse clones possess a unique metabolism with increased reliance on OXPHOS. Global metabolomics analysis suggest that this increased OXPHOS may be fuelled by FAO via the TCA cycle. Additional metabolomics experiments are ongoing to evaluate the reliance of dRI and relapse clones on FAO to fuel increased OXPHOS and to further characterize the unique metabolic phenotype of dRI and relapse clones. Overall, our data suggest that the unique metabolic requirements of dRI and relapse clones might reveal novel therapeutic targets.

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: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,001
Score d'incertitude au seuil0,003

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 savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,013
Tête enseignante GPT0,233
Écart entre enseignants0,221 · 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'étudeObservationnel
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
Publié2022
Routes d'admission1
Résumé présentoui

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