Prognostic Significance of FLT3 and NPM1 Mutations in Adults of Age 18–60 with De Novo Acute Myeloid Leukemia (AML) on SWOG S0106 Study: A Study by FHCRC and SWOG
Notice bibliographique
Résumé
Abstract Abstract 2520 INTRODUCTION. Age, cytogenetics, FLT3 and NPM1 mutations are the most significant prognostic factors (PFs) for adult AML treated with standard regimens, but the predictive significance of FLT3 and NPM1 with contemporary treatments is unknown. We examined the clinical significance of NPM1 and FLT3 mutations in adult de novo AML pts enrolled on SWOG study S0106. METHODS. S0106 was a randomized phase III clinical trial for pts of age 18–60 with de novo non-M3 AML, evaluating the effects of adding Gemtuzumab Ozogamicin (GO) to standard induction therapy (Cytosine Arabinoside and Daunomycin, AD), and of post-consolidation GO vs. no additional therapy (ASH, 2009, Abstract 790). Samples from 198 of the 600 eligible pts were evaluated. Analyses for nucleotide insertions in exon 12 of the NPM1 gene and internal tandem duplications (ITD) within exons 14–15 of FLT3 were performed using fragment analyses in diagnostic bone marrow (BM, N=190) and peripheral blood (PB, N=8) samples. Mutant/wild-type (WT) allelic ratios (AR) were computed for all mutations. Effects of mutations and other PFs on complete response (CR), resistant disease (RD), overall survival (OS) and relapse-free survival (RFS) were analyzed by logistic and Cox regression. P-values are 2-sided. RESULTS. Patient characteristics and outcomes are shown in Table 1. In univariate analyses, NPM1-Mut pts had significantly higher CR (81% vs. 58%, P=.0018) and lower RD (13% vs. 28%, P=.028) rates, better OS (64% vs. 47%, P=.045) and RFS (54% vs. 41%, P=.50). FLT3-ITD was not associated with CR or RD, but was associated with poorer OS (hazard ratio [HR] 2.28, P=.0011) and RFS (HR 2.74, P=.0009). FLT3-ITD length (range 18–366, median 46), FLT3 AR (range 0.18–8.2, median 0.98), and NPM1 AR (range 0.2–1.0, median 0.8) were not associated with CR, RD, or OS, but RFS tended to be lower with higher ITD length (P=.076). In multivariate analyses with other PFs, neither NPM1 nor FLT3 was associated with CR or RD rates, however the combined effects of FLT3 and NPM1 identified 3 mutation risk groups for OS (P=.0044, Fig 1A) and RFS (P=.0003, Fig 1B), since NPM1 did not significantly affect outcomes within the FLT3-ITD pts. These risk groups are FLT3-WT/NPM1-Mut (Good Risk: 3-yr OS 82%, RFS 69%), FLT3-WT/NPM1-WT (Intermediate Risk: OS 49%, RFS 43%), and FLT3-ITD (Poor Risk: OS 29%, RFS 14%). The impact of adding GO to induction therapy was examined within each risk group. In each risk group, CR rates were higher in the AD+GO arm, though not significantly so. Likewise, the RD rates were lower in the AD+GO arm, but this difference was significant only in the largest group: Intermediate Risk, FLT3-WT/NPM1-WT, 17% vs. 34% (P=.026). Treatment arm did not significantly affect OS and RFS in any mutation risk group. CONCLUSION. This study confirmed prognostic effects of FLT3 and NPM1 mutations in de novo AML pts treated with AD or AD+GO. Analyses of the joint impact of NPM1 and FLT3 mutations do not rule out the possibility that they act independently. With the small numbers of pts in the “good” and “poor” risk groups, there was no clear evidence that mutation status predicts clinical benefit from adding GO to therapy. We are evaluating additional samples and will update these results as data matures. Disclosures: No relevant conflicts of interest to declare.
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) | 0,000 | 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 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».