title: Immunophenotypic study of basophils by multiparameter flow cytometry.
abstract: BACKGROUND
  The immunophenotypic profile of basophils is not yet fully established, and the immunophenotypic changes in chronic myelogenous leukemia are not fully characterized.
  
  
  OBJECTIVE
  To establish a comprehensive immunophenotypic spectrum of normal basophils and to assess the range of immunophenotypic aberrations of basophils in chronic myelogenous leukemia.
  
  
  METHODS
  Using 4-color flow cytometry, we compared the immunophenotypic profile of basophils in peripheral blood or bone marrow samples from 20 patients with no evidence of neoplasia to basophils from 15 patients with chronic myelogenous leukemia.
  
  
  RESULTS
  Basophils in control cases were all positive for CD9, CD13, CD22, CD25 (dim), CD33, CD36, CD38 (bright), CD45 (dimmer than lymphocytes and brighter than myeloblasts), and CD123 (bright), and were negative for CD19, CD34, CD64, CD117, and HLA-DR. Basophils in all chronic myelogenous leukemia patients possessed 1 to 5 immunophenotypic aberrancies. The most common aberrancies were underexpression of CD38, followed by aberrant expression of CD64 and underexpression of CD123. CD34 and CD117 were present in cases with basophilic precursors. Myeloblasts showed a distinct immunophenotypic profile, as they typically expressed CD34 and CD117, showed dimmer expression (compared with basophils) of CD38, CD45, and CD123, and lacked expression of CD22.
  
  
  CONCLUSIONS
  Flow cytometric immunophenotyping can identify immunophenotypic aberrations of basophils in chronic myelogenous leukemia, and discriminate basophils from myeloblasts.
authors.affiliation: Department of Hematopathology, The University of Texas M. D. Anderson Cancer Center, Houston, USA.
authors.forename: Xiaohong
authors.initials: X
authors.lastname: Han
authors.forename: Jeffrey L
authors.initials: JL
authors.lastname: Jorgensen
authors.forename: Archana
authors.initials: A
authors.lastname: Brahmandam
authors.forename: Ellen
authors.initials: E
authors.lastname: Schlette
authors.forename: Yang O
authors.initials: YO
authors.lastname: Huh
authors.forename: Yuankai
authors.initials: Y
authors.lastname: Shi
authors.forename: Sylvester
authors.initials: S
authors.lastname: Awagu
authors.forename: Weina
authors.initials: W
authors.lastname: Chen
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D015703:Antigens, CD / Q000378:metabolism; D001491:Basophils / Q000166:cytology / Q000276:immunology* / Q000378:metabolism; D015415:Biomarkers / Q000378:metabolism; D001854:Bone Marrow Cells / Q000166:cytology / Q000473:pathology; D002648:Child; D005260:Female; D005434:Flow Cytometry / Q000379:methods*; D042381:Granulocyte Precursor Cells / Q000166:cytology / Q000378:metabolism; D006801:Humans; D016130:Immunophenotyping / Q000379:methods*; D008297:Male; D008875:Middle Aged
chemical_list: D015703:Antigens, CD; D015415:Biomarkers