Multi-Modal and Data-Driven Assessment of Myeloid Neoplasms Refines Classification Across Disease States.

Abstract

The World Health Organization (WHO) 5th edition and International Consensus Classification (ICC) for myeloid neoplasms both incorporate empirical numerical thresholds to morphologic and molecular features defining certain disease entities. However, the clinical implications of these thresholds remain unclear. We analyzed a large cohort (N=6,976) of patients with myeloid neoplasms to evaluate the impact of proposed, yet different numerical thresholds for variant allele frequency of genetic mutations or hematologic parameters set forth by WHO 5th and ICC for classification of SF3B1-mutated (SF3B1m) myelodysplastic neoplasms (MDS), NPM1m acute myeloid leukemia (AML), and oligomonocytic-chronic myelomonocytic leukemia (O-CMML). Our analysis demonstrated the clonal burden of SF3B1m in MDS informs biological classification and prognosis, supported the notion that NPM1 mutation should be AML-defining regardless of blast percentage, highlighted the prognostic impact of the cumulative number of myelodysplasia-related mutations in NPM1-mutated AML, and provided evidence that integrating specific molecular signatures could improve accuracy of O-CMML classification.