Literature DB >> 21204710

Multiparameter flow cytometry in the diagnosis and management of acute leukemia.

John M Peters1, M Qasim Ansari.   

Abstract

CONTEXT: Timely and accurate diagnosis of hematologic malignancies is crucial to appropriate clinical management. Acute leukemias are a diverse group of malignancies with a range of clinical presentations, prognoses, and preferred treatment protocols. Historical classification systems relied predominantly on morphologic and cytochemical features, but currently, immunophenotypic, cytogenetic, and molecular data are incorporated to define clinically relevant diagnostic categories. Multiparameter flow cytometry provides rapid and detailed determination of antigen expression profiles in acute leukemias which, in conjunction with morphologic assessment, often suggests a definitive diagnosis or a narrow differential. Many recurrent molecular or cytogenetic aberrations are associated with distinct immunophenotypic features, and therefore flow cytometry is an important tool to direct further testing. In addition, detection of specific antigens may have prognostic or therapeutic implications even within a single acute leukemia subtype. After initial diagnosis, a leukemia's immunophenotypic fingerprint provides a useful reference to monitor response to therapy, minimal residual disease, and recurrence.
OBJECTIVE: To provide an overview of the application of flow cytometric immunophenotyping to the diagnosis and management of acute leukemias, including salient features of those entities described in the 2008 World Health Organization classification. DATA SOURCES: Published articles pertaining to flow cytometry, acute leukemia classification, and experiences of a reference flow cytometry laboratory.
CONCLUSION: Immunophenotypic evaluation is essential to accurate diagnosis and classification of acute leukemia. Multiparameter flow cytometry provides a rapid and effective means to collect this information, as well as providing prognostic information and a modality for minimal residual disease evaluation.

Entities:  

Mesh:

Year:  2011        PMID: 21204710     DOI: 10.5858/2010-0387-RAR.1

Source DB:  PubMed          Journal:  Arch Pathol Lab Med        ISSN: 0003-9985            Impact factor:   5.534


  22 in total

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Review 2.  A deep profiler's guide to cytometry.

Authors:  Sean C Bendall; Garry P Nolan; Mario Roederer; Pratip K Chattopadhyay
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3.  Automated Assessment of Disease Progression in Acute Myeloid Leukemia by Probabilistic Analysis of Flow Cytometry Data.

Authors:  Bartek Rajwa; Paul K Wallace; Elizabeth A Griffiths; Murat Dundar
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4.  Bacterial mock communities as standards for reproducible cytometric microbiome analysis.

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5.  Integrated automated particle tracking microfluidic enables high-throughput cell deformability cytometry for red cell disorders.

Authors:  Puneeth Guruprasad; Robert G Mannino; Christina Caruso; Hanqing Zhang; Cassandra D Josephson; John D Roback; Wilbur A Lam
Journal:  Am J Hematol       Date:  2018-11-28       Impact factor: 10.047

6.  Diagnostic immunophenotype of acute promyelocytic leukemia before and early during therapy with all-trans retinoic acid.

Authors:  Pedro Horna; Ling Zhang; Eduardo M Sotomayor; Jeffrey E Lancet; Lynn C Moscinski
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7.  Synthesis of purine-scaffold fluorescent probes for heat shock protein 90 with use in flow cytometry and fluorescence microscopy.

Authors:  Tony Taldone; Erica M Gomes-DaGama; Hongliang Zong; Siddhartha Sen; Mary L Alpaugh; Danuta Zatorska; Raul Alonso-Sabadell; Monica L Guzman; Gabriela Chiosis
Journal:  Bioorg Med Chem Lett       Date:  2011-07-14       Impact factor: 2.823

8.  Preliminary investigation on the abnormal mechanism of CD4+FOXP3+CD25high regulatory T cells in pediatric B-cell acute lymphoblastic leukemia.

Authors:  Si-Xi Liu; Hai-Rong Xiao; Guo-Bing Wang; Xiao-Wen Chen; Chang-Gang Li; Hui-Rong Mai; Xiu-Li Yuan; Guo-Sheng Liu; Fei-Qiu Wen
Journal:  Exp Ther Med       Date:  2018-06-19       Impact factor: 2.447

9.  ImmuSort, a database on gene plasticity and electronic sorting for immune cells.

Authors:  Pingzhang Wang; Yehong Yang; Wenling Han; Dalong Ma
Journal:  Sci Rep       Date:  2015-05-19       Impact factor: 4.379

10.  Critical assessment of automated flow cytometry data analysis techniques.

Authors:  Nima Aghaeepour; Greg Finak; Holger Hoos; Tim R Mosmann; Ryan Brinkman; Raphael Gottardo; Richard H Scheuermann
Journal:  Nat Methods       Date:  2013-02-10       Impact factor: 28.547

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