Literature DB >> 17658405

Flow cytometric assessment of T-cell chronic lymphoproliferative disorders.

Francois M Cady1, William G Morice.   

Abstract

Flow cytometry is frequently used in the evaluation of potential T-cell lineage lymphoproliferative disorders. Although flow cytometry is a useful tool, interpretation of the results can be challenging, because T-cells lack an easily analyzed structural element that can provide a surrogate marker of clonality such as immunoglobulin light chains on B-cells. Thus, routine T-cell phenotyping assays in the clinical laboratory require the comprehensive analysis of several T-cell-associated antigens. Although the detection of aberrant patterns of T-cell antigen expression can be helpful in establishing a diagnosis of T-cell malignancy, these patterns are not always disease specific, and some can overlap significantly with T-cell phenotypes observed in reactive conditions. Thus, arriving at an accurate diagnosis requires correlation of the flow cytometry results with the clinical, morphologic, and molecular results. Furthermore, the integration of these varied pieces of information into a cogent diagnosis requires an understanding of T-cell biology. In this review, the use of flow cytometry to identify T-cell lymphoproliferative disorders, particularly in peripheral blood and bone marrow specimens, is discussed, and a brief overview of T-cell biology to aid the reader in understanding the significance of the flow cytometry results is provided.

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Year:  2007        PMID: 17658405     DOI: 10.1016/j.cll.2007.05.004

Source DB:  PubMed          Journal:  Clin Lab Med        ISSN: 0272-2712            Impact factor:   1.935


  6 in total

1.  EuroFlow antibody panels for standardized n-dimensional flow cytometric immunophenotyping of normal, reactive and malignant leukocytes.

Authors:  J J M van Dongen; L Lhermitte; S Böttcher; J Almeida; V H J van der Velden; J Flores-Montero; A Rawstron; V Asnafi; Q Lécrevisse; P Lucio; E Mejstrikova; T Szczepański; T Kalina; R de Tute; M Brüggemann; L Sedek; M Cullen; A W Langerak; A Mendonça; E Macintyre; M Martin-Ayuso; O Hrusak; M B Vidriales; A Orfao
Journal:  Leukemia       Date:  2012-05-03       Impact factor: 11.528

2.  PhenoGraph and viSNE facilitate the identification of abnormal T-cell populations in routine clinical flow cytometric data.

Authors:  Joseph A DiGiuseppe; Jolene L Cardinali; William N Rezuke; Dana Pe'er
Journal:  Cytometry B Clin Cytom       Date:  2017-09-26       Impact factor: 3.058

Review 3.  Peripheral T and NK cell non-hodgkin lymphoma a challenge for diagnosis.

Authors:  Daniela Vasile; Ana-Maria Vladareanu; Horia Bumbea
Journal:  Maedica (Buchar)       Date:  2014-03

4.  Flow Cytometric Analysis: Four-Year Experience in a Tertiary Care Centre of Pakistan.

Authors:  Imran N Ahmad; Salman Assad; Muhammad Rahman; Haider Ghazanfar
Journal:  Cureus       Date:  2016-09-01

Review 5.  Flow Cytometry Contributions for the Diagnosis and Immunopathological Characterization of Primary Immunodeficiency Diseases With Immune Dysregulation.

Authors:  Otavio Cabral-Marques; Lena F Schimke; Edgar Borges de Oliveira; Nadia El Khawanky; Rodrigo Nalio Ramos; Basel K Al-Ramadi; Gesmar Rodrigues Silva Segundo; Hans D Ochs; Antonio Condino-Neto
Journal:  Front Immunol       Date:  2019-11-26       Impact factor: 7.561

6.  Effects of FR-91 on immune cells from healthy individuals and from patients with non-Hodgkin lymphoma.

Authors:  V R M Lombardi; E Martínez; R Chacón; I Etcheverría; R Cacabelos
Journal:  J Biomed Biotechnol       Date:  2009-07-06
  6 in total

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