SURFACE MARKER ANALYSIS OF ACUTE LYMPHOCYTIC LEUKAEMIA IN TAIWAN, REPUBLIC OF CHINA

Author(s):  
PO-MIN CHEN ◽  
CHANG-FANG CHIU ◽  
BENJAMIN N. CHIANG
1987 ◽  
Vol 15 (2) ◽  
pp. 102-108 ◽  
Author(s):  
Eiichi Ishii ◽  
Toshiro Hara ◽  
Jun Okamura ◽  
Masahiro Suda ◽  
Takami Takeuchi ◽  
...  

1986 ◽  
Vol 64 (3) ◽  
pp. 547-560 ◽  
Author(s):  
J. F. San Miguel ◽  
M. Gonzalez ◽  
M. C. Cañizo ◽  
J. P. Anta ◽  
H. Zola ◽  
...  

1985 ◽  
Vol 9 (9) ◽  
pp. 1093-1098 ◽  
Author(s):  
Frances S. Ligler ◽  
Isadore Brodsky ◽  
Mark L. Schlam ◽  
Kathryn E. Fuscaldo

Blood ◽  
1983 ◽  
Vol 61 (3) ◽  
pp. 443-448
Author(s):  
HJ van der Reijden ◽  
DJ van Rhenen ◽  
PM Lansdorp ◽  
MB van't Veer ◽  
MM Langenhuijsen ◽  
...  

Surface marker analysis with rosette tests and a large panel of xenoantisera and monoclonal antibodies was done on the malignant cells of 55 patients with acute myeloid leukemia (AML). The diagnosis was made on morphological and cytochemical grounds, and the leukemias were classified according to the quantified FAB criteria. The marker tests included the E- and EA-rosette test, immunofluorescence with rabbit- polyclonal antisera against human Ig, kappa, and lambda light chains, thymocytes, granulocytes, erythrocytes, platelets, lysozyme, (leukemic) myeloblasts, the common ALL antigen, SB cell-line cells (anti-Ia), and a mouse anti-Ia serum. The monoclonal mouse antibodies applied were anti-T-cell antibody (3A1), two anti-granulocyte-monocyte antibodies (OKM1 and B2.12), four antigranulocyte antibodies (MI/N1, UJ 308, B4.3, and B13.9), an antiplatelet antibody (C17.28), anti-HLA heavy chains (w6/32.HLK), anti-Ia antigen (OKI1), and OKT10. AML cells from many patients lacked the expression of myeloid markers, and we found that a correlation existed between the relative maturity of the leukemia subtype and the extent of positivity for these markers. Surface marker analysis discriminated poorly between the “myeloid” and “monocytoid” subtypes; OKT10 and the “T-cell marker” 3A1 were often expressed on AML cells. In two cases of AML, there was an unexpected expression of platelet antigens with the monoclonal antiplatelet antibody. One of them, classified as M1, was ultrastructurally a megakaryoblastic proliferation with a positive reaction for platelet peroxidase. Only with the help of computerized analysis, was it possible to prove a clear correlation between the surface marker profile and the FAB classification.


Blood ◽  
1983 ◽  
Vol 62 (3) ◽  
pp. 557-563 ◽  
Author(s):  
JD Griffin ◽  
RJ Mayer ◽  
HJ Weinstein ◽  
DS Rosenthal ◽  
FS Coral ◽  
...  

Abstract A series of monoclonal antibodies reactive with normal myeloid cells at different stages of differentiation (anti-MY4, -MY7, -MY8, -Mo1, -Ia) were used to characterize the leukemic cells of 70 patients with acute myeloblastic leukemia (AML). Sixty-two of the leukemias expressed a phenotype corresponding to a recognizable immature normal myeloid cell. These 62 cases could be divided into 4 phenotype groups, corresponding approximately to the normal CFU-C (group I, 21%), myeloblast (group II, 26%), promyelocyte (group III, 8%), and promonocyte (group IV, 45%). Morphological subtyping of these leukemias tended to agree with the immunologic phenotype, particularly with more “differentiated” morphological subtypes, such as acute monocytic leukemia or acute promyelocytic leukemia. However, each phenotype group contained more than one morphological type of AML, indicating that the level of differentiation of the surface membrane of AML cells may not always be concordant with morphology. The phenotype groups were also analyzed with respect to cytochemical staining patterns, age, the presence of Auer rods, and complete remission rates. Statistically significant differences among the groups were noted in the distribution of myeloperoxidase staining, nonspecific esterase staining, and Auer rods. The complete remission rates varied from 60% (groups III and IV) to 88% (group II). These results suggest that surface marker analysis in AML may be used as a highly reproducible classification system that will provide additional information about the leukemic cells in conjunction with morphological analysis.


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