Improved insight into cancer cell populations responsible for treatment failure will lead to better outcomes for patients. We herein highlight a single-cell study of B-cell precursor acute lymphoblastic leukemia (BCP-ALL) at diagnosis that revealed hidden developmentally dependent cell signaling states uniquely associated with relapse.
Sarno, J., Davis, K. (2018). Single-cell mass cytometry and machine learning predict relapse in childhood leukemia. MOLECULAR & CELLULAR ONCOLOGY, 5(5) [10.1080/23723556.2018.1472057].
Single-cell mass cytometry and machine learning predict relapse in childhood leukemia
Sarno J.;
2018
Abstract
Improved insight into cancer cell populations responsible for treatment failure will lead to better outcomes for patients. We herein highlight a single-cell study of B-cell precursor acute lymphoblastic leukemia (BCP-ALL) at diagnosis that revealed hidden developmentally dependent cell signaling states uniquely associated with relapse.
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