The incidence of cardiac morbimortality in acute myeloid leukemia (AML) is not well known. We aim to estimate the cumulative incidence (CI) of cardiac events in AML patients and to identify risk factors for their occurrence. Among 571 newly diagnosed AML patients, 26 (4.6%) developed fatal cardiac events, and among 525 treated patients, 19 (3.6%) experienced fatal cardiac events (CI: 2% at 6 months; 6.7% at 9 years). Prior heart disease was associated with the development of fatal cardiac events (hazard ratio (HR) = 6.9). The CI of non-fatal cardiac events was 43.7% at 6 months and 56.9% at 9 years. Age ≥ 65 (HR = 2.2), relevant cardiac antecedents (HR = 1.4), and non-intensive chemotherapy (HR = 1.8) were associated with non-fatal cardiac events. The 9-year CI of grade 1–2 QTcF prolongation was 11.2%, grade 3 was 2.7%, and no patient had grade 4–5 events. The 9-year CI of grade 1–2 cardiac failure was 1.3%, grade 3–4 was 15%, and grade 5 was 2.1%; of grade 1–2, arrhythmia was 1.9%, grade 3–4 was 9.1%, and grade 5 was 1%. Among 285 intensive therapy patients, median overall survival decreased in those experiencing grade 3–4 cardiac events (p < 0.001). We observed a high incidence of cardiac toxicity associated with significant mortality in AML.

Despite the remarkable clinical successes of chimeric antigen receptor (CAR) T-cell therapies in treating B-cell malignancies and multiple myeloma, similar outcomes have not been achieved in other indications. For patients with relapsed or refractory (R/R) acute myeloid leukemia (AML) or T-cell acute lymphoblastic leukemia (T-ALL), treatment options are limited, yet CART-cell therapies offer significant potential to address this unmet need. Here, we introduce a first-in-class CART-cell therapy targeting CD84, a novel antigen, for the treatment of R/R AML and T-ALL. CD84 is highly expressed on leukemic blasts, with limited expression on hematopoietic stem progenitor cells (HSPC), and is largely absent in healthy human tissues. Our second-generation CARTs targeting CD84 (CART84) demonstrate potent cytotoxicity against AML and T-ALL cells both in vitro and in vivo in patient-derived xenograft (PDX) models. Furthermore, CART84 eliminated primary leukemic blasts while exhibiting low cytotoxicity against CD34+ HSPC in vitro and in humanized mouse models in vivo, suggesting a low risk of myelotoxicity. These results support CD84 as a promising target for AML and T-ALL and provide the foundation for our upcoming first-in-human phase I/II clinical trial using CD84-directed CAR T cell therapy for patients with R/R AML and T-ALL (EudraCT 2024-519966-31-00).

NPM1-mutated acute myeloid leukemia (AML) is genetically well-defined, but clinical outcomes remain heterogeneous, suggesting that quantitative clonal features may refine current risk stratification. We analyzed 688 intensively treated NPM1-mutated AML integrating variant allele frequency (VAF), mutation order, and clonal architecture inferred by PyClone and ClonEvol. Co-mutations were present in 97% of patients (median = 3 per case), dominated by DNMT3A (49%), FLT3-ITD (46%), TET2 (22%), and IDH2 (20%). Prognostic modelling of NPM1 VAF identified an optimal cut-off of 31.44%, defining NPM1high and NPM1low groups. NPM1low correlated with splicing-related alterations and independently predicted inferior overall (HR = 1.46; p = 0.037) and relapse-free survival (HR = 1.40; p = 0.036). Gene-specific VAF analyses revealed divergent effects across partners, high DNMT3A, FLT3-OTHER, KRAS, and PTPN11 burdens were adverse, whereas high IDH2 VAF was protective. Combined models showed that patients with NPM1high and favorable co-mutation VAFs had the best outcomes, while dual unfavorable burdens conferred the poorest survival. Mutation ordering inferred from VAFs positioned NPM1 after epigenetic and splicing lesions but before signaling and transcription-factor mutations. Non-canonical orders, such as early FLT3-OTHER/TKD or WT1 prior to NPM1, significantly stratified outcomes. Clonal reconstruction revealed predominantly linear evolutionary trajectories (84.3%), with increased mutational burden and clonal diversity associating with inferior survival. Notably, intra-clonal co-localization of NPM1 with IDH1 or TET2 was associated with improved outcomes, whereas co-localization with WT1 predicted dismal prognosis. These results demonstrate that quantitative and structural dimensions of clonality refine the biological and prognostic landscape of NPM1-mutated AML beyond mutational status alone.

Background/Objectives: The incidence of cardiac morbimortality in patients with relapsed/refractory (R/R) acute myeloid leukemia (AML) is unknown. Methods: We analyze the characteristics, incidence, risk factors, and outcomes of cardiac events in AML patients treated for second-line (2L) or third-line (3L) episodes. Results: Among 327 2L AML patients (median age 62 years old), 135 experienced cardiac events, with an incidence of 38.6% non-fatal and 1.3% fatal events at 6 months. The grade 1–2 incidence was 16.8%, and the grade 3–4 incidence was 23.5% at 6 months. Overall, 207 cardiac events occurred in the 2L cohort, the most frequent being hypertension (n = 45), bradycardia (n = 39), QTc prolongation (n = 35), heart failure (n = 33), syncope/presyncope (n = 22), arrhythmia (n = 18), and myocardial ischemia (n = 8). Median OS in the 2L cohort was 9.4 months, 21.4 months in patients with grade 1–2, 8.8 months in patients without a cardiac event, 7.6 months in grade 3–4 patients, and 2.1 months with in 5 patients (p = 0.0035). The multivariate analysis showed prior cardiologic antecedents (p = 0.013), intensive 2L chemotherapy (p = 0.01), and inclusion in a 2L clinical trial (p < 0.001) as independent risk factors for non-fatal cardiac events. Among 189 patients of the 3L cohort, the incidence of non-fatal and fatal cardiac events was 49.2% and 0% at 6 months, respectively. Non-fatal cardiac events were more frequent in patients with prior cardiac antecedents (p = 0.004). Conclusions: In summary, cardiotoxicity is a frequent and challenging complication in R/R AML patients. We identified the risk factors that could be relevant to implementing risk-adapted management guidelines, aiming to reduce morbi-mortality in this difficult-to-treat setting.