title: A combination of CD15/CD10, CD64/CD33, CD16/CD13 or CD11b flow cytometric granulocyte panels is sensitive and specific for diagnosis of myelodysplastic syndrome.
abstract: Flow cytometry (FCM) is a reproducible and objective technique that may be useful in the diagnosis of myelodysplastic syndrome (MDS) by detecting abnormal immunophenotypes specific to MDS. We investigated 5 granulocyte/monocyte panels by FCM to find a sensitive and specific combination of panels in order to discriminate MDS from non-clonal hematologic disorders. Bone marrow aspirates from 35 patients with MDS and 25 patients with non-clonal hematologic disorders were studied. We performed FCM using 5 granulocyte/monocyte panels (CD15/CD10/CD45, CD64/CD33/CD45, CD16/CD13/CD45, CD16/CD11b/CD45, and CD56/CD19/CD7/CD45) to examine the positive rate in MDS and controls, and to find an optimal combination that maximizes the detection rate of MDS. In MDS, the number of abnormal immunophenotypes per 5 granulocytic and 5 monocytic panels were 2.1 ± 1.2 and 2.2 ± 1.4. The rates were higher than the controls (P< 0.001, respectively). As the number of employed panels increased, the percent values of abnormal immunophenotypes increased (P=0.002). The maximum rate of abnormal immunophenotype was 89.7% in MDS patients, especially 100.0% in normal karyotype, when a combination of three panels, CD15/CD10/CD45, CD64/CD33/CD45, and either CD16/CD13/CD45 or CD16/CD11b/CD45 was used. This study demonstrates that a combination of CD15/CD10, CD64/CD33, CD16/CD13 or CD11b granulocyte panels in FCM is sensitive and specific for diagnosis of MDS.
authors.affiliation: Department of Laboratory Medicine, University of Ulsan College of Medicine, Seoul, Republic of Korea.
authors.forename: Jae-Woo
authors.initials: JW
authors.lastname: Chung
authors.forename: Chan-Jeoung
authors.initials: CJ
authors.lastname: Park
authors.forename: Choong-Hwan
authors.initials: CH
authors.lastname: Cha
authors.forename: Young-Uk
authors.initials: YU
authors.lastname: Cho
authors.forename: Seongsoo
authors.initials: S
authors.lastname: Jang
authors.forename: Hyun-Sook
authors.initials: HS
authors.lastname: Chi
authors.forename: Eul-Ju
authors.initials: EJ
authors.lastname: Seo
authors.forename: Jung-Hee
authors.initials: JH
authors.lastname: Lee
authors.forename: Je-Hwan
authors.initials: JH
authors.lastname: Lee
authors.forename: Kyoo-Hyung
authors.initials: KH
authors.lastname: Lee
authors.forename: Ho Joon
authors.initials: HJ
authors.lastname: Im
authors.forename: Jong-Jin
authors.initials: JJ
authors.lastname: Seo
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D015703:Antigens, CD / Q000276:immunology*; D001707:Biopsy, Needle; D001853:Bone Marrow / Q000473:pathology; D016022:Case-Control Studies; D002648:Child; D002675:Child, Preschool; D005260:Female; D005434:Flow Cytometry / Q000379:methods*; D006098:Granulocytes / Q000276:immunology*; D006801:Humans; D016130:Immunophenotyping; D007958:Leukocyte Count; D008297:Male; D008875:Middle Aged; D009000:Monocytes / Q000276:immunology; D009190:Myelodysplastic Syndromes / Q000175:diagnosis* / Q000276:immunology*; D012680:Sensitivity and Specificity; D055815:Young Adult
chemical_list: D015703:Antigens, CD