How to Read a Next-Generation Sequencing Report for AML and MDS? What Hematologists Need to Know.

Acute myeloid leukemia (AML) and myelodysplastic neoplasms (MDS) are clonal hematopoietic malignancies in which next-generation sequencing (NGS) has become integral for diagnosis, classification, risk stratification, and measurable residual disease (MRD) monitoring. Traditional cytogenetic and PCR-based assays remain useful, but targeted NGS panels now represent the standard of care, providing rapid and sensitive detection of recurrent gene mutations, structural variants, and gene fusions. Whole-genome, whole-exome, and RNA sequencing and long-read platforms expand the spectrum of detectable alterations, though targeted panels remain most practical for routine diagnostics. Bioinformatic pipelines and quality metrics-including read length, sequencing depth, and coverage-are critical for accurate variant calling, with validation often required for variants of uncertain significance or those near detection thresholds. NGS is now embedded in diagnostic frameworks, including the WHO 2022 and ICC classifications, which incorporate recurrently mutated genes such as , , , and . These data inform prognostic models, with ELN-2022 defining adverse-risk AML subgroups for patients treated with intensive chemotherapy, ELN-2024 AML for patients treated with less-intensive therapies, and the IPSS-M refining MDS risk categories by integrating mutational data. NGS also enables MRD monitoring, with gene panels and PCR-NGS hybrid approaches (e.g., for -ITD) showing increasing clinical utility, though standardization is still lacking. Furthermore, diagnostic NGS frequently uncovers germline predisposition syndromes (e.g., , ), with significant implications for treatment decisions and donor selection in transplantation. In this manuscript, we review the advantages, limitations, and future perspectives of NGS in the clinical management of AML and MDS with a particular emphasis on the biological and technical principles underlying its use in these diseases. Furthermore, we discuss how NGS findings may influence diagnosis, prognostic classification, and therapeutic decision-making within current clinical frameworks. Our aim is to provide a comprehensive overview of NGS fundamentals to support clinicians in navigating the increasing complexity of molecular data in daily practice.