Literature DB >> 3052664

Classification of acute leukaemias.

F G Hayhoe1.   

Abstract

Acute leukaemias have traditionally been classified according to the nature of the predominating cells as judged by cytomorphology and cytochemistry. A codification of this classification into L1-L3 subdivisions for lymphoblastic cases (ALL) and M1-M7 for myeloid cases (AML), proposed by the FAB group of haematologists, has been used extensively in the past decade. Some criticisms of this codification are presented and other approaches to classification are discussed. Among these are included the potential importance of multiple lineage expression, measurements of cell differentiation using cytochemical criteria, the relevance of isoenzyme biochemistry of leukaemic cell populations, their surface antigenic differences as demonstrated by the use of monoclonal antibodies and the growing contribution of cytogenetics. The development and complexity of combined classifications which attempt to incorporate most of these features is illustrated. A simplified classification into broad groups is proposed, ALL being divided by surface antigenic and cytogenetic criteria and AML by morphology and cytochemistry. These groups may be further elaborated as appropriate.

Entities:  

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Year:  1988        PMID: 3052664     DOI: 10.1016/0268-960x(88)90024-0

Source DB:  PubMed          Journal:  Blood Rev        ISSN: 0268-960X            Impact factor:   8.250


  6 in total

Review 1.  Current concerns in haematology. 2: Classification of acute leukaemia.

Authors:  B Bain; D Catovsky
Journal:  J Clin Pathol       Date:  1990-11       Impact factor: 3.411

2.  Age and the biology of acute myeloid leukemia.

Authors:  H T Hassan
Journal:  Ann Hematol       Date:  1992-03       Impact factor: 3.673

3.  Classification of acute leukaemia: the need to incorporate cytogenetic and molecular genetic information.

Authors:  B J Bain
Journal:  J Clin Pathol       Date:  1998-06       Impact factor: 3.411

4.  Reproducibility of the morphological diagnostic criteria for acute myeloid leukemia: the GIMEMA group experience.

Authors:  G L Castoldi; V Liso; S Fenu; M L Vegna; F Mandelli
Journal:  Ann Hematol       Date:  1993-04       Impact factor: 3.673

Review 5.  Contribution of immunophenotypic and genotypic analyses to the diagnosis of acute leukemia.

Authors:  R Stasi; C G Taylor; A Venditti; G Del Poeta; G Aronica; C Bastianelli; M D Simone; F Buccisano; M C Cox; A Bruno
Journal:  Ann Hematol       Date:  1995-07       Impact factor: 3.673

6.  Fast dimension reduction and integrative clustering of multi-omics data using low-rank approximation: application to cancer molecular classification.

Authors:  Dingming Wu; Dongfang Wang; Michael Q Zhang; Jin Gu
Journal:  BMC Genomics       Date:  2015-12-01       Impact factor: 3.969

  6 in total

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