Literature DB >> 32174688

Flow Cytometric Minimal Residual Disease Analysis in Acute Leukemia: Current Status.

Pulkit Rastogi1, Man Updesh Singh Sachdeva2.   

Abstract

Minimal residual disease (MRD) analysis for patients of acute leukemia has evolved as a significant prognostic factor. Based on the MRD results, the cases are risk-stratified after induction chemotherapy, and an alteration in further management is made to yield maximal therapeutic benefits. The two primary methodologies for MRD detection are multi-parameter flow cytometry (MFC) and polymerase chain reaction. MFC identifies the MRD based on characteristic 'leukemia-associated immunophenotypes' on the residual leukemia cells. MRD analysis by MFC is most frequently done at the post-induction stage of treatment and often can achieve a sensitivity of detecting one leukemic cell in 10,000 normal cells, or even higher at times. This review outlines the technical aspects and provides inputs on standard antibody panels used for MRD detection in B-, T-lineage acute lymphoblastic leukemias, and acute myeloid leukemia. © Indian Society of Hematology and Blood Transfusion 2019.

Entities:  

Keywords:  Immunophenotyping; Minimal residual disease (MRD); Multi-parameter flow cytometry (MFC)

Year:  2019        PMID: 32174688      PMCID: PMC7042470          DOI: 10.1007/s12288-019-01118-5

Source DB:  PubMed          Journal:  Indian J Hematol Blood Transfus        ISSN: 0971-4502            Impact factor:   0.900


  57 in total

1.  Level of minimal residual disease prior to haematopoietic stem cell transplantation predicts prognosis in paediatric patients with acute lymphoblastic leukaemia: a report of the Pre-BMT MRD Study Group.

Authors:  O Krejci; V H J van der Velden; P Bader; H Kreyenberg; N Goulden; J Hancock; M W Schilham; A Lankester; T Révész; T Klingebiel; J J M van Dongen
Journal:  Bone Marrow Transplant       Date:  2003-10       Impact factor: 5.483

Review 2.  Overview of clinical flow cytometry data analysis: recent advances and future challenges.

Authors:  Carlos E Pedreira; Elaine S Costa; Quentin Lecrevisse; Jacques J M van Dongen; Alberto Orfao
Journal:  Trends Biotechnol       Date:  2013-06-05       Impact factor: 19.536

3.  Impact of two independent bone marrow samples on minimal residual disease monitoring in childhood acute lymphoblastic leukaemia.

Authors:  Vincent H J van der Velden; Patricia G Hoogeveen; Rob Pieters; Jacques J M van Dongen
Journal:  Br J Haematol       Date:  2006-05       Impact factor: 6.998

4.  Safety and activity of blinatumomab for adult patients with relapsed or refractory B-precursor acute lymphoblastic leukaemia: a multicentre, single-arm, phase 2 study.

Authors:  Max S Topp; Nicola Gökbuget; Anthony S Stein; Gerhard Zugmaier; Susan O'Brien; Ralf C Bargou; Hervé Dombret; Adele K Fielding; Leonard Heffner; Richard A Larson; Svenja Neumann; Robin Foà; Mark Litzow; Josep-Maria Ribera; Alessandro Rambaldi; Gary Schiller; Monika Brüggemann; Heinz A Horst; Chris Holland; Catherine Jia; Tapan Maniar; Birgit Huber; Dirk Nagorsen; Stephen J Forman; Hagop M Kantarjian
Journal:  Lancet Oncol       Date:  2014-12-16       Impact factor: 41.316

5.  Prognostic value of minimal residual disease in relapsed childhood acute lymphoblastic leukaemia.

Authors:  C Eckert; A Biondi; K Seeger; G Cazzaniga; R Hartmann; B Beyermann; M Pogodda; J Proba; G Henze
Journal:  Lancet       Date:  2001-10-13       Impact factor: 79.321

6.  Use of peripheral blood instead of bone marrow to monitor residual disease in children with acute lymphoblastic leukemia.

Authors:  Elaine Coustan-Smith; Jose Sancho; Michael L Hancock; Bassem I Razzouk; Raul C Ribeiro; Gaston K Rivera; Jeffrey E Rubnitz; John T Sandlund; Ching-Hon Pui; Dario Campana
Journal:  Blood       Date:  2002-10-01       Impact factor: 22.113

7.  Chimeric antigen receptor-modified T cells for acute lymphoid leukemia.

Authors:  Stephan A Grupp; Michael Kalos; David Barrett; Richard Aplenc; David L Porter; Susan R Rheingold; David T Teachey; Anne Chew; Bernd Hauck; J Fraser Wright; Michael C Milone; Bruce L Levine; Carl H June
Journal:  N Engl J Med       Date:  2013-03-25       Impact factor: 91.245

8.  Prognostic value of minimal residual disease in acute lymphoblastic leukaemia in childhood.

Authors:  J J van Dongen; T Seriu; E R Panzer-Grümayer; A Biondi; M J Pongers-Willemse; L Corral; F Stolz; M Schrappe; G Masera; W A Kamps; H Gadner; E R van Wering; W D Ludwig; G Basso; M A de Bruijn; G Cazzaniga; K Hettinger; A van der Does-van den Berg; W C Hop; H Riehm; C R Bartram
Journal:  Lancet       Date:  1998-11-28       Impact factor: 79.321

Review 9.  The 2016 revision to the World Health Organization classification of myeloid neoplasms and acute leukemia.

Authors:  Daniel A Arber; Attilio Orazi; Robert Hasserjian; Jürgen Thiele; Michael J Borowitz; Michelle M Le Beau; Clara D Bloomfield; Mario Cazzola; James W Vardiman
Journal:  Blood       Date:  2016-04-11       Impact factor: 22.113

10.  Prognostic value of minimal residual disease quantification before allogeneic stem-cell transplantation in relapsed childhood acute lymphoblastic leukemia: the ALL-REZ BFM Study Group.

Authors:  Peter Bader; Hermann Kreyenberg; Günter H R Henze; Cornelia Eckert; Miriam Reising; Andre Willasch; Andrea Barth; Arndt Borkhardt; Christina Peters; Rupert Handgretinger; Karl-Walter Sykora; Wolfgang Holter; Hartmut Kabisch; Thomas Klingebiel; Arend von Stackelberg
Journal:  J Clin Oncol       Date:  2008-12-08       Impact factor: 44.544

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  1 in total

1.  Correlation Study on HLA-DR and CD117 (c-Kit) Expressions: Its Prognosis and Treatment Response in Acute Myeloid Leukemia Patients.

Authors:  Yomna M El-Meligui; Heba E Abd Elrhman; Ahmad Salahuddin; Manal Ali Hamouda; Amira B Kassem
Journal:  Pharmgenomics Pers Med       Date:  2021-03-30
  1 in total

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