Research We Fund

This project will significantly advance the treatment and prevention of CNS lymphomas in two key areas. One, we will further develop and validate candidate genomic biomarkers that identify high risk disease and that are useful in risk stratification in future clinical investigations in primary CNS lymphoma. Two, we will evaluate novel pharmacologic interventions that we hypothesize will: a) potentiate both the anti-lymphoma immune response, including agonists of the toll like receptor 7 and 8 pathway, as well as the combination of the anti-CD19 monoclonal antibody tafasitamab plus lenalidomide; and b) antagonize the NFkB pathway, via the orally-administered BTK degrader, Nx-5948, that we have demonstrated to be active in preclinical models using patient-derived CNS lymphomas.

A major limitation of immunotherapy approaches for AML has been the lack of known targetable cell surface antigens specific to AML cells. This project characterizes the pathologic and biologic effects of a novel cell surface antigen complex uniquely present on AML cells but not normal hematopoietic precursors, known as the U5 snRNP complex. Furthermore, we will interrogates U5 snRNP complex components as novel AML-associated antigens and CAR T cells targets for AML treatment.

p>SIRT5 is a master regulator of central energy metabolism. The survival and growth of Acute Myeloid Leukemia (AML) cells depend on SIRT5. I will employ genetic SIRT5 disruption and small molecule inhibitors to target SIRT5 in Acute Lymphoblastic Leukemia (ALL) cells and primary samples. This study aims to 1) determine the effects of SIRT5 inhibition on ALL in vitro and in vivo, and 2) identify SIRT5-regulated pathways and mechanisms underlying SIRT5 dependency in T-ALL.

AML risk stratification established by previous studies do not reflect survival outcomes observed in Black patients. Exome sequencing of 100 Black AML patients revealed the novel variants previously not affiliated with AML, including PHIP. Using multiomic patient sample captures and GEMMs, we will functionalize variants in PHIP and assess if they drive leukemogenesis and/or therapy resistance. The overall goal of this work is to implement inclusive genetic assessment tools for AML diagnosis.