Improvement in Survival of Patients with FLT3 Mutated Acute Myeloid Leukemia: Results from a Retrospective Canadian Cohort
Notice bibliographique
Résumé
Introduction: FLT3 internal tandem duplication (ITD) mutations have been historically associated with inferior outcomes in patients with acute myeloid leukemia (AML) and an intermediate risk status as per the European LeukemiaNet (ELN) 2022 guidelines. In 2017, the US FDA granted approval to midostaurin for frontline treatment and a year later, gilteritinib for use in relapsed/refractory (R/R) AML. These agents began to be widely used in our provincial leukemia program in early 2018 as per the label indications. In this study, we compared clinical outcomes for patients with FLT3-ITD mutated AML before and after this change in British Columbia. Methods: We identified patients in our program database diagnosed with FLT3-ITD mutated AML from January 1, 2010 to December 31, 2021. Only patients receiving intensive chemotherapy with cytarabine and anthracycline were included. Patients were divided into two eras: 2010-2017 (era 1) and 2018-2021 (era 2). The two eras were compared in terms of patient characteristics, genetics, rate of complete remission (CR) and CR with incomplete count recovery (CRi), receipt of allogeneic stem cell transplant (alloSCT) and the overall and relapse free survival (OS and RFS). OS was calculated from diagnosis to death from any cause and was not censored at the time of alloSCT. RFS was calculated from CR/CRi to relapse. Patients without an event during the study period were censored at the time of last follow-up. Categorical variables were compared using Chi-square and Fisher exact tests and continuous variable were compared using paired T tests. Kaplan-Meier survival method and log rank test were used to estimate and compare survival. Uni- and multivariate analyses were performed in a Cox proportional regression model and alloSCT was considered as a time dependent covariate. Results: 169 patients were included (era 1=101, era 2=68). The median duration of follow up of the entire cohort was 17 months (range 0.5-148.6 months) and follow-up of surviving patients (n=70) was longer in era 1 vs. era 2 (median 88 months vs. 32 months, p<0.001). The median age of the entire cohort was 60 years (range 26-79 years) and it was comparable in both eras. Most patients had normal cytogenetics (era 1: 76%; era 2: 69%). NPM1 was mutated in 69/101 (68%) and 38/68 (56%) patients in eras 1 and 2 respectively. Due to lack of genetic data for era 1, we did not risk stratify based on the recent ELN classification. The rate of CR/CRi was 58/101 (57%) vs. 40/68 (59%) after induction chemotherapy and 78/101 (77%) vs. 58/67 (87%) (p=0.09) at any time in eras 1 and 2 respectively. AlloSCT was performed in 58% and 72% of patients in the two cohorts. Midostaurin was used in 82% and gilteritinib was used in 26% of era 2 patients in the second era. OS was significantly longer in era 2 (median OS 73 months vs. 11 months, HR (death) 6.2, p=0.012) (Figure). The 2-year OS rate was higher in era 2 (57%) than in era 1 (39%). In patients achieving CR/CRi, median RFS was longer in era 2 (51 vs. 16 months, p=0.43), although this was not statistically significant. In univariate Cox regression analysis the following factors were associated with improved OS: use of midostaurin (HR 0.487, 95% CI 0.304-0.779, p=0.003), diagnosis in era 2 (HR 0.583, 95% CI 0.38-0.895, p=0.014) and receipt of alloSCT (HR 0.346,) 95% CI 0.219-0.545, p<0.001). Other parameters including age, sex, NPM1 status and cytogenetics were not significant. In multivariate analysis including era, midostaurin and alloSCT, only the receipt of alloSCT was associated with significantly improved OS (HR 0.362, 95% CI 0.229 - 0.572, p<0.001) whereas use of midostaurin (HR=0.465, CI 0.207-1.042, p=0.063) and era (HR 1.12, 95% CI 0.538-2.34, p=0.76) were not significant. Conclusions: Our results show thatOS for patients with FLT3-ITD AML has improved in patients diagnosed in a more recent treatment era. Patients diagnosed after 2018 were more frequently treated with AlloSCT and FLT3-inhibitors, which may have resulted in improvements in OS. Our findings support the assignment of FLT3-ITD AML to theintermediate risk category as per the current ELN guidelines. A limitation of this study is the differences in follow-up time between eras, which may influence the event rate between the groups.
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 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,004 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| 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 ».