Common Self-Renewal Pathways Contribute to the Induction of Acute Myeloid Leukemias Associated with Different Oncogenes

Self-renewal is a prerequisite for cancer initiation and maintenance, however the origins and molecular basis of self-renewal in malignant cells remain elusive. Recently, we and others have shown that certain leukemia-associated fusion oncogenes (such as MOZ-TIF2 and MLL fusions) can alter self-renewal in, and generate acute myeloid leukemia (AML) from, committed murine myeloid progenitor cells. AML is a highly heterogeneous disease, both genetically and biologically, and is associated with many differing combinations of mutations and a variable clinical course. However, it is not currently known whether an alteration of self-renewal is a more widespread finding in AML. Moreover, it is also not known whether alterations of self-renewal are mediated by common genetic programs downstream of multiple individual mutations or through the engagement of unique programs downstream of individual mutations. This distinction is important, as the demonstration of common pathways may identify common critical molecular targets for the treatment of AML. We now demonstrate, using retroviral expression of the AML1-ETO (RUNX1-RUNX1T1) and NUP98-HOXA9 fusion proteins in committed myeloid progenitors, that the ability to alter self-renewal is a more generalized property of leukemia-associated transcription factor fusion oncogenes. Furthermore, to investigate the molecular basis for the reestablishment of self-renewal we compare expression differences between granulocyte monocyte progenitors (GMP) directly transduced with MOZ-TIF2, AML1-ETO and NUP98-HOXA9 retroviruses and GMP transduced with empty vector retrovirus, to identify common candidate genes and molecular pathways involved in self-renewal downstream of these fusion oncogenes. Thereafter, we validate the expression of these early genetic programs in functionally defined murine leukemia stem cells and bulk human leukemias and perform functional experiments to validate the effects of individual candidate genes within the programs on self-renewal and transformation. Our data demonstrate