INTRODUCTION: Pediatric acute myeloid leukemia (AML) with RUNX1:: RUNX1T1 is considered a favorable risk group, with a high probability of event-free survival (EFS) in recent clinical trials. However, 20-30% of patients still experience relapse within three years and some patients have poor outcome. Several prognostic factors, including secondary genetic abnormalities and treatment response, have been previously reported. Flow cytometry-based measurable residual disease (flow-MRD) has been suggested as a poor prognostic factor in AML with RUNX1:: RUNX1T1. Additionally, KIT mutations, particularly mutations of exon 17, have been associated with poor EFS in both adult and pediatric patients. However, the combined impact of KIT exon 17 mutations and flow-MRD on prognosis has not been thoroughly investigated. This study aims to evaluate the clinical and genetic features of pediatric patients with RUNX1:: RUNX1T1-positive AML enrolled in the Japanese Pediatric Leukemia/Lymphoma Study Group (JPLSG) AML-12 trial and determine if integrated analysis of flow-MRD and KIT exon 17 mutations can improve risk stratification.

METHOD: A total of 101 pediatric AML patients with RUNX1:: RUNX1T1 were enrolled in the study. The patients were treated in the JPLSG AML-12 trial, and their clinical and genetic characteristics were analyzed. Targeted capture sequencing was performed on bone marrow samples obtained at diagnosis. The custom gene panel was designed for mutation profiling of pediatric AML, including 504 genes. Flow-MRD was centrally monitored at the end of induction 1 (EOI1) and the end of induction 2 but was not used to guide subsequent therapies. Leukemia-associated immunophenotypes were identified in diagnostic specimens and marker combinations that allowed detection of leukemia with a sensitivity of at least 0.1% were applied to subsequent samples.

RESULTS: Patients with KIT exon 17 mutations had a higher white blood cell count at diagnosis and a significantly higher rate of MRD positivity (≥0.1%) at EOI1 compared to patients without KIT exon 17 mutations. Immunophenotypic analysis showed no significant differences in CD117 or CD33 expression between patients with and without KIT exon 17 mutations; whereas CD19 expression was observed less frequently and, although not significantly, CD56 expression was observed more frequently in the patients with KIT exon 17 mutations. The genetic landscape analysis revealed that KIT mutations were the most common and tended to coexist with ARID1B mutations, while NRAS mutations were mutually exclusive. The 5-year EFS and overall survival (OS) for the entire cohort were 67.3% and 82.7%, respectively. Negative MRD at EOI1 was associated with significantly superior 5-year EFS and OS (71.6% and 85.9%) compared to positive MRD (12.5% and 37.5%)(p<0.01). Patients with KIT exon 17 mutations had significantly inferior 5-year EFS and OS (46.9% and 62.2%) compared to those without KIT exon 17 mutations (76.8% and 92.4%) (p<0.01). Furthermore, we evaluated a prognostic impact of MRD within the KIT exon 17 mutated and non-mutated cases. As for the non-mutated cases, the 5-year OS in the patients with negative MRD was 92.2%. Among the KIT-mutated cases, the 5-year OS in the patients with negative and positive MRD was 68.0% and 33.3%, respectively.

CONCLUSION: Patients with both non-mutated KIT exon 17 and negative MRD have the best prognosis, while positive MRD and KIT exon 17 mutations are associated with poorer outcomes. These findings indicated that integrated analysis of flow-MRD and KIT exon 17 status enables optimal risk assignment strategies in pediatric AML with RUNX1:: RUNX1T1.

Kato:Amgen: Honoraria; Novartis: Honoraria; Chugai: Honoraria.

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