Literature DB >> 3159074

Immune phenotype heterogeneity in AML.

A Ost, B Christensson, R Andreasen, R Hast, B Lagerlöf, P Reizenstein, I S Trowbridge, P Biberfeld.   

Abstract

Blood cells from 46 patients with acute myeloid leukaemia were studied for expression of various surface markers, defined by a panel of 12 monoclonal antibodies and the expression of Fc gamma receptors. Corresponding studies were done on normal bone marrow cells. Antibodies which bound to leukaemic cells in high frequencies were those which most frequently also bound to normal bone marrow cells. Immunophenotypic analysis revealed a marked antigenic heterogeneity in AML, also evident within single FAB subclasses. However, leukaemic cells of FAB subclass M1 significantly more often expressed HLA class I antigen than those of FAB subclass M5a, whereas Fc gamma receptors which were expressed only on a few cells in M5a, were increasingly frequent on leukaemic cells of M1-M2, M4, and M5b leukaemias. The frequency of cells reacting with the monoclonal antibody T50/12,11,2 was related to the complete remission rate of the patients. Patients with high frequencies of cells reacting with this antibody had a better complete remission rate than patients with fewer cells binding to this antibody. The immunophenotypic heterogeneity an AML may reflect a great biological variability of this disease. This variability may be of importance for the classification and treatment of AML.

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Year:  1985        PMID: 3159074     DOI: 10.1111/j.1600-0609.1985.tb00751.x

Source DB:  PubMed          Journal:  Scand J Haematol        ISSN: 0036-553X


  4 in total

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Authors:  C S Scott; M Davey; A Hamilton; D R Norfolk
Journal:  Blut       Date:  1986-05

2.  Surface markers in acute non-lymphoid leukemia: analysis with a panel of 36 monoclonal antibodies.

Authors:  L Campos; D Guyotat; O Gentilhomme; D Treille; E Archimbaud; D Fiere; D Germain
Journal:  Blut       Date:  1987-02

3.  The nature of blast cells in myelodysplastic syndromes evolving to acute leukaemia.

Authors:  J F San Miguel; M González; M C Cañizo; J P Anta; J Hernández; F Ortega; L Borrasca
Journal:  Blut       Date:  1986-06

4.  Searching for a signature involving 10 genes to predict the survival of patients with acute myelocytic leukemia through a combined multi-omics analysis.

Authors:  Haifeng Zhuang; Yu Chen; Xianfu Sheng; Lili Hong; Ruilan Gao; Xiaofen Zhuang
Journal:  PeerJ       Date:  2020-06-25       Impact factor: 2.984

  4 in total

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