Literature DB >> 7658722

Immunophenotypic changes between diagnosis and relapse in childhood acute lymphoblastic leukemia.

E R van Wering1, A Beishuizen, E T Roeffen, B E van der Linden-Schrever, M A Verhoeven, K Hählen, H Hooijkaas, J J van Dongen.   

Abstract

To get more insight into the phenotypic changes of childhood acute lymphoblastic leukemia (ALL) at relapse, a detailed morphological and immunophenotypic study in 40 childhood ALL cases (32 precursor B-ALL and 8 T-ALL) was performed. Expression patterns of non-lineage specific markers (terminal deoxynucleotidyl transferase (TdT), CD34, and HLA-DR), B-lineage markers (CD10, CD19, CD20, and CD22), T-lineage markers (CD1, CD2, CD3, CD4, CD5, CD7, and CD8), and cross-lineage myeloid markers (CD14, CD15, and CD33) were compared at diagnosis and relapse. In case of low blast counts (< or = 70%) at relapse, double labeling for membrane markers and TdT was used in order to define the precise immunophenotype of the TdT+ leukemic cells. An immunological marker-shift was defined as either a conversion from positive to negative and vice versa or a difference in positivity of > or = 50%. Morphological differences between diagnosis and relapse were detected in 34% of precursor B-ALL and 14% of T-ALL. Differences in immunological marker expression were found in 72% of precursor B-ALL and in 75% of T-ALL, and generally concerned minor shifts with loss or acquisition of a few markers. The morphological shifts and immunophenotypic shifts were not correlated. Immunophenotypic shifts were found for all markers tested in precursor B-ALL, except for HLA-DR. Shifts in CD10 expression (16% of cases) were only observed in relapses occurring 30 months or more after diagnosis. In four precursor B-ALL an intra-lineage shift was found at relapse (one common ALL to null ALL and three pre-B-ALL to common ALL or null ALL) and two precursor B-ALL cases were diagnosed as acute non-lymphocytic leukemia at relapse based on morphology and immunophenotype. In T-ALL, neither intra-lineage nor inter-lineage shifts were observed, although shifts were detected in all T cell markers tested, except for the lineage specific CD3 and T cell receptor (TcR) markers. In conclusion, immunophenotypic shifts at relapse frequently occur in precursor B-ALL and T-ALL, in a small percentage leading to an intra-lineage shift (10%) or inter-lineage shift (5%). Therefore immunophenotypic monitoring of minimal residual disease in ALL patients should be based on multiple marker combinations, preferably together with polymerase chain reaction analysis of rearranged immunoglobulin and/or TcR genes or chromosome aberrations.

Entities:  

Mesh:

Substances:

Year:  1995        PMID: 7658722

Source DB:  PubMed          Journal:  Leukemia        ISSN: 0887-6924            Impact factor:   11.528


  11 in total

1.  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

2.  BCR-ABL1 and CD66c exhibit high concordance in minimal residual disease detection of adult B-acute lymphoblastic leukemia.

Authors:  Gu-Sheng Tang; Jun Wu; Min Liu; Hui Chen; Shen-Glan Gong; Jian-Min Yang; Xiao-Xia Hu; Jian-Min Wang
Journal:  Am J Transl Res       Date:  2015-03-15       Impact factor: 4.060

3.  A QA Program for MRD Testing Demonstrates That Systematic Education Can Reduce Discordance Among Experienced Interpreters.

Authors:  Michael Keeney; Brent L Wood; Benjamin D Hedley; Joseph A DiGiuseppe; Maryalice Stetler-Stevenson; Elisabeth Paietta; Gerard Lozanski; Adam C Seegmiller; Bruce W Greig; Aaron C Shaver; Lata Mukundan; Howard R Higley; Caroline C Sigman; Gary Kelloff; J Milburn Jessup; Michael J Borowitz
Journal:  Cytometry B Clin Cytom       Date:  2017-05-05       Impact factor: 3.058

4.  Immaturity associated antigens are lost during induction for T cell lymphoblastic leukemia: implications for minimal residual disease detection.

Authors:  Mikhail Roshal; Jonathan R Fromm; Stuart Winter; Kimberly Dunsmore; Brent L Wood
Journal:  Cytometry B Clin Cytom       Date:  2010-05       Impact factor: 3.058

Review 5.  Status of minimal residual disease testing in childhood haematological malignancies.

Authors:  Dario Campana
Journal:  Br J Haematol       Date:  2008-08-15       Impact factor: 6.998

Review 6.  The biology of relapsed acute lymphoblastic leukemia: opportunities for therapeutic interventions.

Authors:  Teena Bhatla; Courtney L Jones; Julia A Meyer; Nicholas A Vitanza; Elizabeth A Raetz; William L Carroll
Journal:  J Pediatr Hematol Oncol       Date:  2014-08       Impact factor: 1.289

7.  CD7 aberrant expression led to a lineage switch at relapsed childhood acute pre-B lymphoblastic leukemia.

Authors:  Vahid Fallah Azad; Amir Abbas Hedayati Asl; Maryam Tashvighi; Naghmeh Niktoreh Mofrad; Mansoureh Haghighi; Azim Mehrvar
Journal:  Med Mol Morphol       Date:  2015-08-05       Impact factor: 2.309

8.  High FLT3 expression and IL10 (G1082A) polymorphism in poor overall survival in calla acute lymphoblastic leukemia.

Authors:  Dayse Maria Vasconcelos de Deus; Paulo Roberto Eleutério de Souza; Maria Tereza Cartaxo Muniz
Journal:  Mol Biol Rep       Date:  2012-10-20       Impact factor: 2.316

9.  HLA-DPβ1 Asp84-Lys69 antigen-binding signature predicts event-free survival in childhood B-cell precursor acute lymphoblastic leukaemia: results from the MRC UKALL XI childhood ALL trial.

Authors:  G M Taylor; R Wade; A Hussain; P Thompson; I Hann; B Gibson; T Eden; S Richards
Journal:  Blood Cancer J       Date:  2012-07-20       Impact factor: 11.037

10.  Hard-wired heterogeneity in blood stem cells revealed using a dynamic regulatory network model.

Authors:  Nicola Bonzanni; Abhishek Garg; K Anton Feenstra; Judith Schütte; Sarah Kinston; Diego Miranda-Saavedra; Jaap Heringa; Ioannis Xenarios; Berthold Göttgens
Journal:  Bioinformatics       Date:  2013-07-01       Impact factor: 6.937

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.