Literature DB >> 15654545

[Quantification of minimal residual disease by multiparameter flow cytometry in acute myeloid leukemia. From diagnosis to prognosis].

Wolfgang Kern1, Torsten Haferlach.   

Abstract

Today, multiparameter flow cytometry allows the simultaneous assessment of up to five surface and cytoplasmic antigens in different cell populations from peripheral blood and bone marrow samples. Due to the high efficiency of modern flow cytometers a comprehensive characterization is achieved within a short time. In the setting of diagnosing acute myeloid leukemias (AML) this method is used not only to subclassify AML and separate it from acute lymphoblastic and biphenotypic leukemias but also for the identification of leukemia-associated aberrant immunophenotypes (LAIPs). Since these LAIPs are defined individually for each patient, leukemic bone marrow cells can be detected during the course of treatment using the LAIP allowing the quantification of minimal residual disease (MRD) which is not detectable by cytomorphology. Due to its close correlation with the course of the disease and with the risk of relapse the MRD represents an important prognostic parameter which is increasingly used for stratification of therapy in clinical trials.

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Year:  2005        PMID: 15654545     DOI: 10.1007/s00063-005-1122-1

Source DB:  PubMed          Journal:  Med Klin (Munich)        ISSN: 0723-5003


  1 in total

1.  Clinically validated machine learning algorithm for detecting residual diseases with multicolor flow cytometry analysis in acute myeloid leukemia and myelodysplastic syndrome.

Authors:  Bor-Sheng Ko; Yu-Fen Wang; Jeng-Lin Li; Chi-Cheng Li; Pei-Fang Weng; Szu-Chun Hsu; Hsin-An Hou; Huai-Hsuan Huang; Ming Yao; Chien-Ting Lin; Jia-Hau Liu; Cheng-Hong Tsai; Tai-Chung Huang; Shang-Ju Wu; Shang-Yi Huang; Wen-Chien Chou; Hwei-Fang Tien; Chi-Chun Lee; Jih-Luh Tang
Journal:  EBioMedicine       Date:  2018-10-22       Impact factor: 8.143

  1 in total

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