Literature DB >> 26282340

Introduction to the diagnosis and classification of monocytic-lineage leukemias by flow cytometry.

Sergio Matarraz1, Julia Almeida1, Juan Flores-Montero1, Quentin Lécrevisse1, Valentina Guerri1, Antonio López1, Susana Bárrena1, Vincent H J Van Der Velden2, Jeroen G Te Marvelde2, Jacques J M Van Dongen2, Alberto Orfao1.   

Abstract

Despite diagnostic criteria are currently available for the distinct subtypes of monocytic-lineage neoplasias, a number of partially overlapping features still remain evident, which may hamper their differential diagnosis. An accurate identification and characterization of monocytic cells is of major relevance for the diagnosis and classification of these neoplasias. In this regard, as compared to other conventional techniques, flow cytometry has shown the highest sensitivity for detection of early monocytic commitment of (normal and neoplastic) bone marrow CD34+ hematopoietic precursors as well as of monocytic aberrations and maturation blockades, which are frequently associated with clonal myeloid disorders. In the present paper we provide basic principles and criteria for multiparameter flow cytometry identification and characterization of bone marrow monocytic cells that contribute to an improved diagnostic and classification of monocytic lineage-associated acute leukemias in clinical settings, particularly when using the EuroFlow antibody panels.
© 2015 International Clinical Cytometry Society. © 2015 International Clinical Cytometry Society.

Entities:  

Keywords:  acute leukemia; flow cytometry; monocytes

Mesh:

Year:  2015        PMID: 26282340     DOI: 10.1002/cyto.b.21219

Source DB:  PubMed          Journal:  Cytometry B Clin Cytom        ISSN: 1552-4949            Impact factor:   3.058


  10 in total

Review 1.  The International Consensus Classification of acute myeloid leukemia.

Authors:  Olga K Weinberg; Anna Porwit; Attilio Orazi; Robert P Hasserjian; Kathryn Foucar; Eric J Duncavage; Daniel A Arber
Journal:  Virchows Arch       Date:  2022-10-20       Impact factor: 4.535

2.  2021 Update on MRD in acute myeloid leukemia: a consensus document from the European LeukemiaNet MRD Working Party.

Authors:  Michael Heuser; Sylvie D Freeman; Gert J Ossenkoppele; Francesco Buccisano; Christopher S Hourigan; Lok Lam Ngai; Jesse M Tettero; Costa Bachas; Constance Baer; Marie-Christine Béné; Veit Bücklein; Anna Czyz; Barbara Denys; Richard Dillon; Michaela Feuring-Buske; Monica L Guzman; Torsten Haferlach; Lina Han; Julia K Herzig; Jeffrey L Jorgensen; Wolfgang Kern; Marina Y Konopleva; Francis Lacombe; Marta Libura; Agata Majchrzak; Luca Maurillo; Yishai Ofran; Jan Philippe; Adriana Plesa; Claude Preudhomme; Farhad Ravandi; Christophe Roumier; Marion Subklewe; Felicitas Thol; Arjan A van de Loosdrecht; Bert A van der Reijden; Adriano Venditti; Agnieszka Wierzbowska; Peter J M Valk; Brent L Wood; Roland B Walter; Christian Thiede; Konstanze Döhner; Gail J Roboz; Jacqueline Cloos
Journal:  Blood       Date:  2021-12-30       Impact factor: 22.113

3.  Side scatter versus CD45 flow cytometric plot can distinguish acute leukaemia subtypes.

Authors:  Annapurna Saksena; Parul Gautam; Parth Desai; Naresh Gupta; A P Dubey; Tejinder Singh
Journal:  Indian J Med Res       Date:  2016-05       Impact factor: 2.375

4.  Development of a Novel Flow Cytometry-Based System for White Blood Cell Differential Counts: 10-color LeukoDiff.

Authors:  Dongjin Park; Jiyoung Chang; Jimin Kahng; Hunhee Park; Irene Jo; Yonggoo Kim; Kyungja Han
Journal:  Ann Lab Med       Date:  2019-03       Impact factor: 3.464

Review 5.  Flow Cytometry: From Experimental Design to Its Application in the Diagnosis and Monitoring of Respiratory Diseases.

Authors:  Julio Flores-Gonzalez; Juan Carlos Cancino-Díaz; Leslie Chavez-Galan
Journal:  Int J Mol Sci       Date:  2020-11-22       Impact factor: 5.923

6.  Technical Aspects of Flow Cytometry-based Measurable Residual Disease Quantification in Acute Myeloid Leukemia: Experience of the European LeukemiaNet MRD Working Party.

Authors:  Jesse M Tettero; Sylvie Freeman; Veit Buecklein; Adriano Venditti; Luca Maurillo; Wolfgang Kern; Roland B Walter; Brent L Wood; Christophe Roumier; Jan Philippé; Barbara Denys; Jeffrey L Jorgensen; Marie C Bene; Francis Lacombe; Adriana Plesa; Monica L Guzman; Agnieszka Wierzbowska; Anna Czyz; Lok Lam Ngai; Adrian Schwarzer; Costa Bachas; Jacqueline Cloos; Marion Subklewe; Michaela Fuering-Buske; Francesco Buccisano
Journal:  Hemasphere       Date:  2021-12-22

Review 7.  A Role for the Bone Marrow Microenvironment in Drug Resistance of Acute Myeloid Leukemia.

Authors:  Seyed Mohammadreza Bolandi; Mahdi Pakjoo; Peyman Beigi; Mohammad Kiani; Ali Allahgholipour; Negar Goudarzi; Jamshid S Khorashad; Anna M Eiring
Journal:  Cells       Date:  2021-10-21       Impact factor: 6.600

Review 8.  Diagnostic challenges in acute monoblastic/monocytic leukemia in children.

Authors:  Elena Varotto; Eleonora Munaretto; Francesca Stefanachi; Fiammetta Della Torre; Barbara Buldini
Journal:  Front Pediatr       Date:  2022-09-28       Impact factor: 3.569

9.  Development of a standardized and validated flow cytometry approach for monitoring of innate myeloid immune cells in human blood.

Authors:  Kyra van der Pan; Sandra de Bruin-Versteeg; Daniela Damasceno; Alejandro Hernández-Delgado; Alita J van der Sluijs-Gelling; Wouter B L van den Bossche; Inge F de Laat; Paula Díez; Brigitta A E Naber; Annieck M Diks; Magdalena A Berkowska; Bas de Mooij; Rick J Groenland; Fenna J de Bie; Indu Khatri; Sara Kassem; Anniek L de Jager; Alesha Louis; Julia Almeida; Jacqueline A M van Gaans-van den Brink; Alex-Mikael Barkoff; Qiushui He; Gerben Ferwerda; Pauline Versteegen; Guy A M Berbers; Alberto Orfao; Jacques J M van Dongen; Cristina Teodosio
Journal:  Front Immunol       Date:  2022-09-14       Impact factor: 8.786

Review 10.  Diagnostic Utility of Flow Cytometry in Myelodysplastic Syndromes.

Authors:  Carmen Mariana Aanei; Tiphanie Picot; Emmanuelle Tavernier; Denis Guyotat; Lydia Campos Catafal
Journal:  Front Oncol       Date:  2016-06-27       Impact factor: 6.244

  10 in total

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