Comparative safety and efficacy of first- and second-generation FLT3 inhibitors in newly diagnosed and relapsed AML: A meta-analysis stratified by molecular biomarkers
Abstract
Abstract Background: FMS-like tyrosine kinase 3 (FLT3) mutation, including tyrosine kinase domain mutation and internal tandem duplications, occurs in ~30% of AML cases and is associated with poor prognosis. First-generation (sorafenib and midostaurin) and second-generation (gilteritinib, quizartinib, and crenolanib) FLT inhibitors demonstrated efficacy and safety across disease stages and are now used as a standard of treatment for FLT3-mutated AML. Stratification by biomarker, including FLT-ITD allelic ratio and mutations like nucleophosmin 1 (NPM1), influences therapeutic response. Objectives To analyze the therapeutic response rate, overall survival (OS), and individual toxicity profile of first and second-generation FLT inhibitors in newly diagnosed and relapsed AML patients, stratified by FLT3 mutation site, allelic ratio, and NPM1 co-mutation.Methods A systematic search was conducted using Medline-PubMed, Experta Medical Database (EMBASE), and Cochrane Database. Seventeen eligible studies (randomized trials and observational cohorts reporting FLT3 inhibitors) were included in the meta-analysis. Pooled hazard ratio (HR) analysis for overall survival (OS) and risk ratio (RR) for complete response/complete response incomplete (CR/CRi) were calculated with a random effect model. Toxicity rates were analyzed. Subgroup analysis using FLT-ITD allelic ratio and NPM1 mutation status. Risk of bias was assessed using the Cochrane RoB 2 tool. Results Seventeen studies (n = 5,214 patients) were included in the meta-analysis. Pooled overall survival using midostaurin was HR 0.78 (95% CI, 0.65-0.94), and gilteritinib was HR 0.64 (0.95% CI, 0.52-0.79). Overall CR rates/CRi rates using first-generation agents were RR=1.11 (95% CI, 1-1.22), and second-generation agents had a pooled RR of 1.38 (95% CI, 1.27-1.5). The significant cardiac toxicity of QTc prolongation was seen mostly in second-generation inhibitors with a pooled odds ratio of 6.31 (95% CI, 3.06-13). Among newly diagnosed FLT3-AML, midostaurin yields aCR/CRi rate of 59.1% with a median OS of 74.7 months vs 25.6 months (HR 0.78:95% CI, 0.65-0.94). The most significant toxicities were 92.7% Grade ¾ toxicity, 14.1% rash, and 5.6% nausea. Quzartinib leads to 71.6%, with a median OS of 31.9 months vs 15.1 months (HR, 0.78; 95% CI, 0.62-0.98). The QTc prolongation rates were 17% with a 42.3% neutropenia rate. In relapsed-refractory AML, gilteritinib had CR/CRi rates of 54.3% with median OS rates of 9.3 months vs 5.6 months in standard of care (HR, 0.64; 95% CI, 0.52-0.79). The elevated liver enzyme rate was 22.1%, and the QTC prolongation, 12.4%. Sorafenib was with CR/CRi rates of ~30% with a median OS rate of 5.6 months. The hypertension rate was 14.2% and dermatologic toxicity was 28.7% In biomarker stratification, a high FLT3-ITD allelic ratio >0.5 results in reduced rates of therapeutic response to gilteritinib, with GI50 increasing with p 0.36. FLT3-ITD allelic ratio: There is no therapeutic difference in efficacy across the allelic ratio groups in patients treated with quizartinib. Co-occurrence with NPM1 is associated with higher GI50 values across the inhibitors, suggestive of poor target engagement and reduced sensitivity despite FLT targeting. Conclusions Second-generation FLT inhibitors exhibit enhanced efficacy in relapsed-refractory AML scenarios and comparable outcomes to first-generation inhibitors in newly diagnosed AML.Stratification using ITD allelic ratio and NPM1 co-mutation is emerging as a critical factor. In light of these findings, it's imperative to integrate second-generation inhibitors in salvage settings and Biomarker-guided treatment decisions in front-line FLT3 mutant-AML
Article Details
Authors (4)
Chandan Das
2Montefiore Medical Center, Bronx, United States
Inae Park
1Montefiore Medical Center, Internal Medicine, Bronx, United States
Mohit Mirchandani
1Montefiore Medical Center, Internal Medicine, Bronx, United States
Yoonhee Choi
2National Institutes of Health, Bethesda, United States