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.
Keywords: Childhood leukemia; cell signaling; innovative methods in molecular and cellular oncology; machine learning; mass cytometry; mechanisms of oncogenesis and tumor progression; mechanisms of resistance to therapy; novel therapeutic targets; prognostic and predictive biomarkers; relapse prediction.