Literature DB >> 31709836

Applications and efficiency of flow cytometry for leukemia diagnostics.

Maria Ilaria Del Principe1,2, Eleonora De Bellis1,2, Carmelo Gurnari1,2, Elisa Buzzati1,2, Arianna Savi1,2, Maria Antonietta Irno Consalvo2, Adriano Venditti1,2.   

Abstract

Introduction: Multiparametric flow cytometry immunophenotype (MFCI) plays a crucial role in the diagnosis of acute leukemia (AL). Through the comprehensive assessment of surface and intracellular antigens expressed by blasts, MFCI permits to distinguish myeloid or B/T lymphoid AL, or AL of ambiguous lineages. By means of MFCI, the blasts can be characterized in bone marrow, peripheral blood, and body fluids, such as cerebrospinal fluid.Area covered: This review discusses how MFCI is currently applied in the diagnostic evaluation of AL; it also focuses on 'peculiar' issues such as the role of MFCI for the diagnosis of central nervous system leukemic involvement.Expert commentary: Despite the improved knowledge about the biology of AL, MFCI remains a fundamental tool to make a prompt and accurate diagnosis. MFCI also provides prognostic information for some antigens are associated with specific cytogenetic/genetic abnormalities and, recently, it became a powerful tool to evaluate the quality and depth of response (the so called 'measurable residual disease'). Its role as an efficient detector of residual disease paved the way to the investigation of tissues other than bone marrow and peripheral blood, demonstrating that even small amounts of AL appear to have a prognostic impact and may require personalized intervention.

Entities:  

Keywords:  Acute leukemia; cerebrospinal fluid; diagnosis; flow cytometry; immunophenotype

Mesh:

Substances:

Year:  2019        PMID: 31709836     DOI: 10.1080/14737159.2019.1691918

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  5 in total

1.  Deep learning-based light scattering microfluidic cytometry for label-free acute lymphocytic leukemia classification.

Authors:  Jing Sun; Lan Wang; Qiao Liu; Attila Tárnok; Xuantao Su
Journal:  Biomed Opt Express       Date:  2020-10-23       Impact factor: 3.732

2.  Vitamin C Deficiency in Patients With Acute Myeloid Leukemia.

Authors:  Tiziana Ottone; Isabella Faraoni; Giorgio Fucci; Mariadomenica Divona; Serena Travaglini; Eleonora De Bellis; Francesco Marchesi; Daniela Francesca Angelini; Raffaele Palmieri; Carmelo Gurnari; Manuela Giansanti; Anna Maria Nardozza; Federica Montesano; Emiliano Fabiani; Elisa Linnea Lindfors Rossi; Raffaella Cerretti; Laura Cicconi; Marco De Bardi; Maria Luisa Catanoso; Luca Battistini; Renato Massoud; Adriano Venditti; Maria Teresa Voso
Journal:  Front Oncol       Date:  2022-06-27       Impact factor: 5.738

3.  Diagnosis of Acute Leukemia by Multiparameter Flow Cytometry with the Assistance of Artificial Intelligence.

Authors:  Pengqiang Zhong; Mengzhi Hong; Huanyu He; Jiang Zhang; Yaoming Chen; Zhigang Wang; Peisong Chen; Juan Ouyang
Journal:  Diagnostics (Basel)       Date:  2022-03-28

Review 4.  A Focus on Intermediate-Risk Acute Myeloid Leukemia: Sub-Classification Updates and Therapeutic Challenges.

Authors:  Hassan Awada; Moaath K Mustafa Ali; Bicky Thapa; Hussein Awada; Leroy Seymour; Louisa Liu; Carmelo Gurnari; Ashwin Kishtagari; Eunice Wang; Maria R Baer
Journal:  Cancers (Basel)       Date:  2022-08-28       Impact factor: 6.575

5.  Major Differences in Lymphocyte Subpopulations Between Cerebrospinal Fluid and Peripheral Blood in Non-Hodgkin Lymphoma Without Leptomeningeal Involvement: Flow Cytometry Evidence of a Cerebral Lymphatic System.

Authors:  Iole Cordone; Serena Masi; Diana Giannarelli; Alessia Pasquale; Laura Conti; Stefano Telera; Andrea Pace; Elena Papa; Mirella Marino; Paolo de Fabritiis; Andrea Mengarelli
Journal:  Front Oncol       Date:  2021-06-03       Impact factor: 6.244

  5 in total

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