and MRNA Expression-based Risk Stratification of Acute Myeloid Leukemia

Prognostication of acute myeloid leukemia (AML) at initial diagnosis relies on identification of pre-determined underlying genetic abnormalities. Nevertheless, the disease course of AML remains highly unpredictable and robust reliable prognostic biomarkers for newly diagnosed AML are lacking. We retrospectively explored two publicly available AML RNA-Seq datasets and found that inferior overall survival was associated with high- and low- transcript levels (" / ") compared to low- and high- transcript levels (" / ") in adult AML patients, with a hazard ratio for death of at least 2. Transcript level-dependent differential overall survival was independent from the underlying or genotypes. Our two-gene RNA expression-based AML risk stratification may supplement and fine-tune traditional genetic aberration-based prognostication methods.