Comprehensive prognostic scoring systems could improve the prognosis of adult acute myeloid leukemia patients.

ABSTRACT

Acute myeloid leukemia (AML) is a heterogeneous malignancy characterized by a dismal outcome. To enable better outcomes, it is necessary to develop individual therapies based on risk stratification. In the present study, we established two new comprehensive prognostic scoring systems (CPSS) for overall survival (OS) and relapse-free survival (RFS) using the Cox proportional hazards regression, CPSS integrated and weighted age, AML type, lactic dehydrogenase (LDH), ECOG score, cytogenetics, and gene mutations. We divided patients into three risk groups-low-, intermediate-, and high-risk-with 1-year OS rates of 100.0%, 82.9%, and 38.2%, respectively (p < 0.0001), and patients undergoing complete remission (CR) were also separated into low-risk, intermediate-risk, and high-risk groups, with 1-year RFS rates of 87.7%, 58.4%, and 30.2%, respectively (p < 0.0001). We conclude that CPSS that integrate clinical characteristics, cytogenetic abnormalities, and gene mutations may improve the stratification of AML patients.