Host institute: Technion, Israel Institute of Technology; Haifa, Israel
PI: Eyal Gottlieb.
Objectives: Analyze comprehensive transcriptomic and metabolomic data using statistics, machine learning, and systems biology algorithms, to study the potential metabolic adaptations of cancer cell to the central nervous system niche.
Expected results: We aim to identify the differences in CSF metabolic profiles between patients with leukemia, patients without detectable CNS leukemia, and normal controls. Our goal is to develop a diagnostic tool that identifies CNS involvement of leukemia in early stages of the disease or during relapse after treatment.