FLT3 inhibition with midostaurin offsets poor prognosis in NPM1/FLT3/DNMT3a triple-mutated AML
Notice bibliographique
Résumé
Abstract Context: FLT3 mutated (FLT3m) AML with co-occurring mutations in DNMT3a and NPM1 (triple mutated) have been identified to be a subset with poor prognosis. However, the evidence for this comes from trials predating the routine incorporation of FLT3 inhibitors in induction regimens. Triple mutated (TM+) patients in the relapsed-refractory setting are particularly sensitive to FLT3 inhibitor therapy. To explore whether the outcomes of TM+ patients were improved by the addition of midostaurin to intensive chemotherapy, we conducted a real-world, single-center analysis of FLT3m patients. Design: Retrospective single center study Patients and methods: Patients ≥ 18 years of age diagnosed with FLT3m AML who were treated with intensive chemotherapy at the Princess Margaret Cancer Centre between January 1st 2015 and January 31, 2023, with available NGS data were included. RFS and OS was evaluated using Kaplan-Meier method. IPTW-adjusted Kaplan Meier analysis was performed to compare survival outcome between non-midostaurin (M-) and midostaurin treated (M+) population, stratified for the TM status(TM+ vs TM-). Propensity scores were estimated using clinically relevant covariates (age, FLT3m type, de-novo versus secondary AML, baseline MRC cytogenetic group, timing of transplant (CR1 versus CR2)), and survival curves were weighted accordingly. Results: We identified 242 patients with FLT3m AML. Ninety-two (38%) did not receive a FLT3 inhibitor with their induction regime (M-) and 150 (62.0%) received midostaurin (M+) with the intensive chemotherapy. Amongst the 92 M- patients, median age was 61 years [21 – 81], 75(81.5%) had denovo AML, 17(18.5%) had secondary AML, 66(71.7%) had intermediate risk cytogenetics and 6(6.5%) had adverse risk cytogenetics. FLT3m were ITD in 63(68.5%) and TKD in 11(12.0%) patients. A CR/CR equivalent was achieved in 84 patients (91.3%). After a median follow-up of 91[95%CI: 78 – 99] months, there were 29(34.5%) relapses and 49(53.3%) deaths. A total of 50(54.3%) patients underwent HSCT. 3-year RFS and OS (uncensored) was 65%[53 - 75] and 52%[42 – 62], respectively. Mutations in addition to FLT3m, included NPM1 in 51(55.4%), DNMT3a in 35(38.0%), IDH2 in 18(19.6%), TET2 in 15(16.3%), WT1 in 11(12.0%) and IDH1 in 8(8.7%). There were 28(30.4%) patients with TM+ AML patients. On comparing TM+ with TM-, the 3-year RFS was 57%[35 – 75] and 68%[54 – 79](p 0.327), respectively and the 3-year OS (uncensored) was 39%[22 – 57] and 58%[45 – 69] (p 0.146), respectively. On censoring for transplant, the OS was significantly lower in the TM+ subgroup (3 -year OS: 13% vs 58%; p 0.048). Amongst the 150 M+ patients, median age was 58[18 – 80] years , 138(92.0%) had denovo AML, 12(8.0%) had secondary AML, 113(75.3%) had intermediate risk cytogenetics and 12(8.0%) had adverse risk cytogenetics. FLT3m were ITD in 117(78.0%) and TKD in 32(21.3%). A CR/CR equivalent was achieved in 145(96.7 %) patients. After a median follow-up of 54[50 - 64] months, there were 61(42.1%) relapses and 66(44.0%) deaths. A total of 93(62.0%) patients underwent HSCT. 3-year RFS and OS was 56%[47 – 64] and 59%[50 – 67], respectively. Mutations in addition to FLT3m, included NPM1 in 96(64.0%), DNMT3a in 54 (36.0%), TET2 in 22(14.7%), IDH2 in 21(14.0%), WT1 in 11(7.3%) and IDH1 in 10(6.7%) patients. There were 44(29.3%) TM+ AML patients. On comparing the patients with TM+ with TM-, the 3-year RFS was 55%[38 – 69] and 56%[45 – 66] (p 0.777), respectively and the 3-year OS (uncensored) was 67%[51 – 79] and 55%[45 – 64] (p 0.328), respectively. On censoring for transplant, the OS was similar between the TM+ and TM- subgroups (3-year OS: 38% vs 35%; p 0.662). Using IPTW-adjusted Kaplan-Meier analysis, the 3-year OS of TM+ patients were 65%[51 – 83] versus 36%[21 – 60] in M+ and M- patients (HR: 0.44 [0.22 – 0.87]; p = 0.019), and of TM- patients were 53%[43.9 – 64.8] versus 54% [43 – 70] in M+ and M- patients, respectively (HR: 0.89 [0.55 – 1.45]; p 0.65). Conclusions:In FLT3m AML, use of midostaurin during intensive treatment appears to attenuate the adverse prognostic impact of the TM+ patients. OS was inferior in the TM+ compared to TM- patients when midostaurin was not administered – particularly evident after censoring for transplant. IPTW-adjusted analysis also showed significant improvement in OS with the use of midostaurin in TM+ patients. These findings suggest that the efficacy of FLT3 inhibitors may be modulated by the co-mutations.
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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 | 0,001 |
| 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 ».