Chronic Myeloid Leukemia (CML) is an aggressive type of blood cancer that requires life-long therapy. However, in most Low and Middle Income Countries, including the majority of Africa, long-lasting treatment with specialized drugs presents several challenges thatimpact the equality, accessibility and eUectiveness of treatment for patients. Thus, improvements of current therapy regimens or new curable drugs would have important impact for treatment of CML in Africa.
Large-scale analysis of the molecular content of individual cells (“single-cell analysis”) lends promise to improve personalized treatment and even to cure CML through the capacity to identify rare persistent cancer cells, as well as by eUectively identifying prognostic markers and new drug targets. However, even if an abundance of such single-cell data is being produced, comprehensive conclusions and consensus of these eUorts are lacking. In this project I will summarize the knowledge acquired from single-cell research on CML over the last decade in an interactive and publicly available format. I will do this by producing a CML single-cell “atlas” comprising of millions of cells from all existing published datasets and present this atlas in a scientific article that summarize the new understanding of CML biology, prognosis, and treatment that single-cell data has generated.
