Abstract

Acute myeloid leukemia (AML) is a myeloid neoplasm associated with a high morbidity and mortality. The diagnosis, risk stratification and therapy selection in AML have changed substantially in the last decade with the progressive incorporation of clinically relevant molecular markers. In this work, our aim was to describe a real-world genomic profiling experience in AML and to demonstrate the impact of the European Leukemia Net 2022 update on risk stratification in AML. One hundred and forty-one patients were evaluated with an amplicon-based multi-gene next-generation sequencing (NGS) panel. The most commonly mutated genes were FLT3, DNMT3A, RUNX1, IDH2, NPM1, ASXL1, SRSF2, NRAS, TP53 and TET2. Detection of FLT3 ITD with NGS had a sensitivity of 96.3% when compared to capillary electrophoresis. According to ELN 2017, 26.6%, 20.1%, and 53.3% of patients were classified as having a good, moderate, or unfavorable risk. When ELN 2022 was used, 15.6%, 27.8%, and 56.6% of patients were classified as favorable, moderate, or unfavorable risk, respectively. When ELN 2022 was compared to ELN 2017, thirteen patients (14.4%) exhibited a different risk classification, with a significant decrease in the number of favorable risk patients, what has immediate clinical impact. In conclusion, we have described a real-world genomic profiling experience in AML and the impact of the 2022 ELN update on risk stratification.

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