Clinical Response to Idasanutlin (RG7388) in Acute Myeloid Leukemia Patients Is Associated with Pre-Treatment MDM2 Protein Expression in Leukemic Blasts and Leukemic Stem Cells
Notice bibliographique
Résumé
Abstract Introduction. Despite years of translational research and discovery, outcomes in Acute Myeloid Leukemia remain poor. The MDM2 antagonist idasanutlin has shown promising clinical activity in solid tumors and acute leukemias. Idasanutlin enhances the activity of the tumor suppressor, p53, through antagonism of MDM2:p53 interaction. Such protein:protein disruption abolishes MDM2 targeting of p53 for ubiquitination and degradation. Subsequent stabilization of the p53 protein allows it to exert tumor suppressor transcriptional regulation and induction of apoptotic pathways. Identification of patients in whom functional p53 activation drives efficacy may translate into improved outcomes for patients treated with idasanutlin. Patients and Methods. Trial NP28679 (NCT01773408) is a Phase 1/1b study evaluating idasanutlin (as monotherapy or in combination with cytarabine) in relapsed or refractory AML patients, with clinical response as the primary endpoint. To identify biomarkers of response, patients' pre-treatment peripheral blood specimens were evaluated for MDM2 protein expression levels in leukemic blasts and leukemic stem cells. Association of MDM2 percent cell positivity with clinical outcomes was evaluated using intracellular flow cytometry gated on CD45dim leukemic blasts and CD45dim/CD117+/CD34+ leukemic stem cells. Results. We observed in a proof-of-principle training data set that MDM2 expression in leukemic blasts was associated with patients more likely to exhibit Complete Remission (CR, CRp, CRi) versus Progressive Disease (PD, HI, PR) [n=61; Wilcoxon p = .0041 (AUC = .74; 95%CI[.57, .91])] TP53 mutational status alone was not tightly associated with patient response (Fisher's Exact Test p = .19 [AUC = .60; 95%CI [.52,.67.])] When MDM2 protein expression and TP53 mutational status were analyzed as co-variates, an enhanced association with patient CR was observed (AUC = .76; 95% CI [.59, .93.]) A separate group of patients treated with an optimized idasanutlin formulation was utilized as a validation set. Association of CR with MDM2 expression in blasts was also shown in this separate patient population [n=24; Wilcoxon p = .0052 (AUC = .82; 95% CI [.64, 1.00.]) Comparable results were observed for proof-of-principle and validation set analyses of response association with MDM2 protein expression in AML patients CD45dim/CD117+/CD34+ stem cell subpopulations. Conclusions. In summary, training and validation sets reveal that MDM2 protein expression in leukemic blasts and stem cells are associated with idasanutlin-induced CR in patients with AML. We will continue to monitor this potentially predictive biomarker in future randomized clinical studies of idasanutlin. On a broader level, the data presented here support the concept that leukemic blasts may be "oncogene-addicted" to MDM2 in AML, i.e. that AML tumor cells may rely on a dominant oncogene for growth and survival, such that inhibition of the function of this specific oncogene is sufficient to halt the neoplastic phenotype. Thus, the concept of oncogene addiction may apply not only to mutated kinases but also to ubiquitin ligases such as MDM2. Disclosures Reis: Roche Pharma: Employment, Equity Ownership. Jukofsky:Roche Pharma: Employment, Equity Ownership. Chen:Roche Pharma: Employment, Equity Ownership. Martinelli:BMS: Speakers Bureau; MSD: Consultancy; Roche: Consultancy; ARIAD: Consultancy; Novartis: Speakers Bureau; Pfizer: Consultancy. Zhong:Roche Pharma: Employment, Equity Ownership. So:Roche Pharma: Employment, Equity Ownership. Drummond:Baxalta: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Gilead: Membership on an entity's Board of Directors or advisory committees. Assouline:Pfizer: Consultancy; BMS: Consultancy; Novartis: Consultancy. Hashemyan:Roche Pharma: Employment, Equity Ownership. Theron:Roche Pharma: Employment, Equity Ownership. Blotner:Roche Pharma: Employment, Equity Ownership. Rueger:Roche Pharma: Employment, Equity Ownership. Middleton:Roche Pharma: Employment, Equity Ownership. Vey:Celgene: Honoraria; Roche: Honoraria; Janssen: Honoraria. Nichols:Roche Pharma: Employment, Equity Ownership. Chen:Roche Pharma: Employment, Equity Ownership. Pierceall:Roche Pharma: Employment, Equity Ownership.
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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 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 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».