Literature DB >> 11877265

Prognostic significance and modalities of flow cytometric minimal residual disease detection in childhood acute lymphoblastic leukemia.

Michael N Dworzak1, Gertraud Fröschl, Dieter Printz, Georg Mann, Ulrike Pötschger, Nora Mühlegger, Gerhard Fritsch, Helmut Gadner.   

Abstract

Detection of minimal residual disease (MRD) in acute lymphoblastic leukemia (ALL) predicts outcome. Previous studies were invariably based on relative quantification and did not investigate sample-inherent parameters that influence test accuracy, which makes comparisons and clinical conclusions cumbersome. Hence, we conducted a prospective, population-based MRD study in 108 sequentially recruited children with ALL uniformly treated with the ALL-Berlin-Frankfurt-Münster (ALL-BFM) 95 protocol in Austria (median follow-up of 40 months). Using sensitive, limited antibody panel flow cytometry applicable to 97% of patients, we investigated 329 bone marrow samples from 4 treatment time points. MRD was quantified by blast percentages among nucleated cells (NCs) and by absolute counts (per microliter). Covariables such as NC count, normal B cells, and an estimate of the test sensitivity were also recorded. Presence and distinct levels of MRD correlated with a high probability of early relapse at each of the time points studied. Sequential monitoring at day 33 and week 12 was most useful for predicting outcome independently from clinical risk groups: patients with persistent disease (> or =1 blast/microL) had a 100% probability of relapse, compared to 6% in all others. Absolute MRD quantification was more appropriate than relative, due to considerable variations in total NC counts between samples. Regeneration of normal immature B cells after periods of rest from treatment limited the test sensitivity. In conclusion, MRD detection by flow cytometry is a strong and independent outcome indicator in childhood ALL. Standardization regarding absolute quantification on the basis of NCs and assessment during periods of continuous treatment promise to increase the accuracy, simplicity, and cost efficiency of the approach.

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Year:  2002        PMID: 11877265     DOI: 10.1182/blood.v99.6.1952

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


  65 in total

Review 1.  The clinical relevance of detection of minimal residual disease in childhood acute lymphoblastic leukaemia.

Authors:  J Moppett; G A A Burke; C G Steward; A Oakhill; N J Goulden
Journal:  J Clin Pathol       Date:  2003-04       Impact factor: 3.411

2.  Identification of residual leukemic cells by flow cytometry in childhood B-cell precursor acute lymphoblastic leukemia: verification of leukemic state by flow-sorting and molecular/cytogenetic methods.

Authors:  Nina F Øbro; Lars P Ryder; Hans O Madsen; Mette K Andersen; Birgitte Lausen; Henrik Hasle; Kjeld Schmiegelow; Hanne V Marquart
Journal:  Haematologica       Date:  2011-09-20       Impact factor: 9.941

3.  Quantitative analysis of minimal residual disease predicts relapse in children with B-lineage acute lymphoblastic leukemia in DFCI ALL Consortium Protocol 95-01.

Authors:  Jianbiao Zhou; Meredith A Goldwasser; Aihong Li; Suzanne E Dahlberg; Donna Neuberg; Hongjun Wang; Virginia Dalton; Kathryn D McBride; Stephen E Sallan; Lewis B Silverman; John G Gribben
Journal:  Blood       Date:  2007-05-07       Impact factor: 22.113

4.  Bridging the gap between the north and south of the world: the case of treatment response in childhood acute lymphoblastic leukemia.

Authors:  Martin Stanulla; André Schrauder
Journal:  Haematologica       Date:  2009-06       Impact factor: 9.941

5.  Time point-dependent concordance of flow cytometry and real-time quantitative polymerase chain reaction for minimal residual disease detection in childhood acute lymphoblastic leukemia.

Authors:  Giuseppe Gaipa; Giovanni Cazzaniga; Maria Grazia Valsecchi; Renate Panzer-Grümayer; Barbara Buldini; Daniela Silvestri; Leonid Karawajew; Oscar Maglia; Richard Ratei; Alessandra Benetello; Simona Sala; Angela Schumich; Andre Schrauder; Tiziana Villa; Marinella Veltroni; Wolf-Dieter Ludwig; Valentino Conter; Martin Schrappe; Andrea Biondi; Michael N Dworzak; Giuseppe Basso
Journal:  Haematologica       Date:  2012-05-11       Impact factor: 9.941

6.  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

7.  Minimal residual disease analysis by eight-color flow cytometry in relapsed childhood acute lymphoblastic leukemia.

Authors:  Leonid Karawajew; Michael Dworzak; Richard Ratei; Peter Rhein; Giuseppe Gaipa; Barbara Buldini; Giuseppe Basso; Ondrej Hrusak; Wolf-Dieter Ludwig; Günter Henze; Karl Seeger; Arend von Stackelberg; Ester Mejstrikova; Cornelia Eckert
Journal:  Haematologica       Date:  2015-05-22       Impact factor: 9.941

8.  New markers for minimal residual disease detection in acute lymphoblastic leukemia.

Authors:  Elaine Coustan-Smith; Guangchun Song; Christopher Clark; Laura Key; Peixin Liu; Mohammad Mehrpooya; Patricia Stow; Xiaoping Su; Sheila Shurtleff; Ching-Hon Pui; James R Downing; Dario Campana
Journal:  Blood       Date:  2011-04-12       Impact factor: 22.113

9.  Quantitation of circulating tumor cells in blood samples from ovarian and prostate cancer patients using tumor-specific fluorescent ligands.

Authors:  Wei He; Sumith A Kularatne; Kimberly R Kalli; Franklyn G Prendergast; Robert J Amato; George G Klee; Lynn C Hartmann; Philip S Low
Journal:  Int J Cancer       Date:  2008-10-15       Impact factor: 7.396

10.  Clinical significance of minimal residual disease in childhood acute lymphoblastic leukemia and its relationship to other prognostic factors: a Children's Oncology Group study.

Authors:  Michael J Borowitz; Meenakshi Devidas; Stephen P Hunger; W Paul Bowman; Andrew J Carroll; William L Carroll; Stephen Linda; Paul L Martin; D Jeanette Pullen; David Viswanatha; Cheryl L Willman; Naomi Winick; Bruce M Camitta
Journal:  Blood       Date:  2008-04-03       Impact factor: 22.113

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