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Diagnostics of the AML with immunophenotypical data

Published online by Cambridge University Press:  15 May 2008

A. Plesa ,
G. Ciuperca ,
V. Louvet ,
L. Pujo-Menjouet ,
S. Génieys ,
C. Dumontet ,
X. Thomas  and
V. Volpert
A. Plesa
Affiliation:
Service d'Hématologie clinique, Hospices Civils de Lyon, 69003 Lyon, France
G. Ciuperca
Affiliation:
Université de Lyon, Université Lyon 1, CNRS UMR 5208 Institut Camille Jordan F - 69200 Villeurbanne Cedex, France
V. Louvet
Affiliation:
Université de Lyon, Université Lyon 1, CNRS UMR 5208 Institut Camille Jordan F - 69200 Villeurbanne Cedex, France
L. Pujo-Menjouet*
Affiliation:
Université de Lyon, Université Lyon 1, CNRS UMR 5208 Institut Camille Jordan F - 69200 Villeurbanne Cedex, France
S. Génieys
Affiliation:
Université de Lyon, Université Lyon 1, CNRS UMR 5208 Institut Camille Jordan F - 69200 Villeurbanne Cedex, France
C. Dumontet
Affiliation:
Service d'Hématologie clinique, Hospices Civils de Lyon, 69003 Lyon, France
X. Thomas
Affiliation:
Service d'Hématologie clinique, Hospices Civils de Lyon, 69003 Lyon, France
V. Volpert
Affiliation:
Service d'Hématologie clinique, Hospices Civils de Lyon, 69003 Lyon, France
*
pujo@math.univ-lyon1.fr
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Abstract

Patients with acute myeloblastic leukemia (AML) are divided according to the FrenchAmerican British (FAB) classification into eight subgroups (M0 to M7) on the basis of their degreeof maturation/differentiation. However, even if immunophenotypical characterization by flow cytometryis routinely used to distinguish between AML and acute lymphoblastic leukemia (ALL), itis not yet well established for the identification within the AML subgroups. Here we show that certainsubgroups of AML can be identified with a good accuracy (80% of the patients we analyzed)by means of the expression of specific markers.

Keywords

acute myeloblastic leukemiadiagnosticFAB classificationcell markersmathematical modelling
Type
Research Article
Information
Mathematical Modelling of Natural Phenomena , Volume 1 , Issue 2: Hematopoiesis and blood diseases , 2006 , pp. 104 - 123
Copyright
© EDP Sciences, 2006

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