title: Leukemia stemness signatures step toward the clinic.
abstract: A recent Nature Medicine study by Eppert et al. (2011) describes analyses of functionally defined leukemia stem cell populations that provide new insights on the biology of human tumor populations and the potential use of stem cell-associated gene signatures for prognosis.
authors: James P. Wilmot Cancer Center, University of Rochester, 601 Elmwood Avenue, Box 704, Rochester, NY 14642, USA.
authors: Michael W
authors: MW
authors: Becker
authors: Craig T
authors: CT
authors: Jordan
mesh_terms: D018952:Antigens, CD34 / Q000378:metabolism; D014408:Biomarkers, Tumor / Q000235:genetics; D002454:Cell Differentiation / Q000235:genetics; D002469:Cell Separation; D005434:Flow Cytometry; D020869:Gene Expression Profiling; D015973:Gene Expression Regulation, Leukemic; D055106:Genome-Wide Association Study; D006412:Hematopoietic Stem Cells / Q000378:metabolism / Q000473:pathology; D006801:Humans; D015470:Leukemia, Myeloid, Acute / Q000175:diagnosis* / Q000235:genetics* / Q000473:pathology; D014411:Neoplastic Stem Cells / Q000378:metabolism* / Q000473:pathology; D011379:Prognosis; D057170:Translational Research, Biomedical
chemical_list: D018952:Antigens, CD34; D014408:Biomarkers, Tumor