Literature DB >> 11243381

Quantification of minimal residual disease in children with oligoclonal B-precursor acute lymphoblastic leukemia indicates that the clones that grow out during relapse already have the slowest rate of reduction during induction therapy.

V de Haas1, O J Verhagen, A E von dem Borne, W Kroes, H van den Berg, C E van der Schoot.   

Abstract

Antigen receptor gene rearrangements are applied for the PCR-based minimal residual disease (MRD) detection in acute lymphoblastic leukemia (ALL). It is known that ongoing rearrangements result in subclone formation, and that the relapsing subclone(s) can contain antigen receptor rearrangement(s) that differ from the rearrangements found in the major clone(s) at diagnosis. However, the mechanism leading to this so-called clonal evolution is not known, particularly at which time point in the disease the relapsing subclone obtains its (relative) therapy resistance. To obtain insight in clonal evolution, we followed the kinetics of several subclones in three oligoclonal ALL patients during induction therapy. Clone-specific nested PCR for immunoglobulin heavy chain or T cell receptor delta gene rearrangements were performed in limiting dilution assays on bone marrow samples taken at diagnosis, at the end of induction therapy and at possible relapse in three children with oligoclonal B-precursor ALL. We demonstrated that in all three patients the subclones were behaving differently in response to therapy. Moreover, in the two patients who relapsed, the clones that grew out during relapse showed the slowest regression or even evoluated during induction therapy and the clones that were not present at relapse showed good response to induction therapy. These results support the hypothesis that at least in some patients already at diagnosis or in the very first weeks, subclones have important differences in respect to resistance. Hence, these data give experimental evidence for the need to develop, during the first months after diagnosis, quantitative PCR assays for at least two different Ig/TCR gene rearrangement targets for every ALL patient.

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Year:  2001        PMID: 11243381     DOI: 10.1038/sj.leu.2401970

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


  13 in total

1.  The analysis and quantification of a clonal B cell response in a hyperimmunized anti-D donor.

Authors:  S E Dohmen; O J H M Verhagen; S M de Groot; L M Stott; R C Aalberse; S J Urbaniak; C E van der Schoot
Journal:  Clin Exp Immunol       Date:  2006-05       Impact factor: 4.330

2.  Massive evolution of the immunoglobulin heavy chain locus in children with B precursor acute lymphoblastic leukemia.

Authors:  Charles Gawad; Francois Pepin; Victoria E H Carlton; Mark Klinger; Aaron C Logan; David B Miklos; Malek Faham; Gary Dahl; Norman Lacayo
Journal:  Blood       Date:  2012-08-28       Impact factor: 22.113

3.  Evolution of Tumor Clones in Adult Acute Lymphoblastic Leukemia.

Authors:  S Yu Smirnova; Yu V Sidorova; N V Ryzhikova; K A Sychevskaya; E N Parovichnikova; A B Sudarikov
Journal:  Acta Naturae       Date:  2016 Oct-Dec       Impact factor: 1.845

4.  Deep-sequencing approach for minimal residual disease detection in acute lymphoblastic leukemia.

Authors:  Malek Faham; Jianbiao Zheng; Martin Moorhead; Victoria E H Carlton; Patricia Stow; Elaine Coustan-Smith; Ching-Hon Pui; Dario Campana
Journal:  Blood       Date:  2012-10-16       Impact factor: 22.113

5.  Sensitive and specific measurement of minimal residual disease in acute lymphoblastic leukemia.

Authors:  Alexander A Morley; Sue Latham; Michael J Brisco; Pamela J Sykes; Rosemary Sutton; Elizabeth Hughes; Vicki Wilczek; Bradley Budgen; Katrina van Zanten; Bryone J Kuss; Nicola C Venn; Murray D Norris; Catherine Crock; Colin Storey; Tamas Revesz; Keith Waters
Journal:  J Mol Diagn       Date:  2009-03-26       Impact factor: 5.568

6.  Determining the repertoire of IGH gene rearrangements to develop molecular markers for minimal residual disease in B-lineage acute lymphoblastic leukemia.

Authors:  Michael J Brisco; Sue Latham; Rosemary Sutton; Elizabeth Hughes; Vicki Wilczek; Katrina van Zanten; Bradley Budgen; Anita Y Bahar; Maria Malec; Pamela J Sykes; Bryone J Kuss; Keith Waters; Nicola C Venn; Jodie E Giles; Michelle Haber; Murray D Norris; Glenn M Marshall; Alexander A Morley
Journal:  J Mol Diagn       Date:  2009-03-26       Impact factor: 5.568

Review 7.  Minimal residual disease in acute lymphoblastic leukemia: optimal methods and clinical relevance, pitfalls and recent approaches.

Authors:  Fatemeh Salari; Mohammad Shahjahani; Saeid Shahrabi; Najmaldin Saki
Journal:  Med Oncol       Date:  2014-10-07       Impact factor: 3.064

Review 8.  Clonal evolution in leukemia.

Authors:  Adolfo A Ferrando; Carlos López-Otín
Journal:  Nat Med       Date:  2017-10-06       Impact factor: 53.440

Review 9.  Leukaemia: a model metastatic disease.

Authors:  Andrew E Whiteley; Trevor T Price; Gaia Cantelli; Dorothy A Sipkins
Journal:  Nat Rev Cancer       Date:  2021-05-05       Impact factor: 69.800

Review 10.  Stem Cell Hierarchy and Clonal Evolution in Acute Lymphoblastic Leukemia.

Authors:  Fabian Lang; Bartosch Wojcik; Michael A Rieger
Journal:  Stem Cells Int       Date:  2015-07-06       Impact factor: 5.443

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