Phenotypic quantitative features of patients with acute myeloid leukemia.
The recent WHO classification for acute myeloid leukemias (AML) separates entities by recurrent cytogenetic abnormalities and immunophenotypic features presenting prognostic impact. We have examined the expression of several lineage and maturation linked antigens used in routine immunophenotyping of patients with de novo AML, using a 3-color two-step panel. Cases were diagnosed by peripheral blood counts, bone marrow cytology, cytochemistry, cytogenetics and immunophenotyping (CD2, CD3, CD7, CD19, CD13, CD33, myeloperoxydase -- MPO, CD14, CD15, HLA-DR, CD34, CD56 and CD45). Antigen expression was measured by mean fluorescence intensity (MFI) by flow cytometry (Paint-a-gate software). Thirty five patients were analyzed. Median age: 51 years (15-79). Predominant FAB types were M2 and M4. In 6 cases more than one phenotypically distinct blast subpopulation could be detected. Although our set was small, we tried to analyze the impact of MFI of the examined antigens on the overall survival of the patients. In Cox univariate analysis, age, peripheral leukocytes (WBC) at diagnosis, MFI of CD45, and MPO were significant for worse a survival. In the multivariate analysis only MFI of CD45 and WBC remained in the model (p=0.018 and p=0.014 respectively). After bootstrap resampling, MFI of CD45 entered the model in 69%, WBCin 60%, age in 42% and MFI of MPO in 35% of the sets. Analysis of antigen expression by MFI permitted to detect cases presenting phenotypically distinct blast subpopulations. This may represent a pitfall in studies of minimal residual disease by flow cytometry, as chemotherapy may select one of these subsets.
Pereira
F G
FG
Department of Internal Medicine, Faculty of Medicine, State University of Campinas, 13081-970 Campinas, Brasil.
Metze
K
K
Costa
F Ps
FP
Lima
C S P
CS
Lorand-Metze
I
I
D000208:Acute Disease; D000293:Adolescent; D000328:Adult; D000368:Aged; D000911:Antibodies, Monoclonal; D015703:Antigens, CD / Q000378:metabolism; D014408:Biomarkers, Tumor / Q000032:analysis*; D005260:Female; D005434:Flow Cytometry; D006801:Humans; D016130:Immunophenotyping / Q000379:methods*; D007951:Leukemia, Myeloid / Q000175:diagnosis* / Q000378:metabolism* / Q000401:mortality; D008297:Male; D008875:Middle Aged; D018365:Neoplasm, Residual; D010641:Phenotype; D011379:Prognosis; D016019:Survival Analysis
D000911:Antibodies, Monoclonal; D015703:Antigens, CD; D014408:Biomarkers, Tumor