Literature DB >> 14961040

Rearranged T-cell receptor beta genes represent powerful targets for quantification of minimal residual disease in childhood and adult T-cell acute lymphoblastic leukemia.

M Brüggemann1, V H J van der Velden, T Raff, J Droese, M Ritgen, C Pott, A J Wijkhuijs, N Gökbuget, D Hoelzer, E R van Wering, J J M van Dongen, M Kneba.   

Abstract

Current MRD studies in T-cell acute lymphoblastic leukemia (T-ALL) mainly use T-cell receptor gamma, delta and SIL-TAL1 gene rearrangements as MRD-PCR targets. However, low frequency or limited diversity of these markers restricts the number of evaluable patients, particularly because two markers are recommended for MRD monitoring. Hence, we developed a new strategy implementing the TCR beta (TCRB) locus for MRD quantification. The frequency and characteristics of complete and incomplete TCRB rearrangements were investigated in 53 childhood and 100 adult T-ALL patients using the BIOMED-2 multiplex PCR assay. Clonal rearrangements were identified in 92% both childhood and adult T-ALL (Vbeta-Dbeta-Jbeta rearrangements in 80%, Dbeta-Jbeta rearrangements in 53%). Comparative sequence analysis of 203 TCRB recombinations revealed preferential usage of the 'end-stage' segment Jbeta2.7 in childhood T-ALL (27%), whereas Jbeta2.3 was most frequently involved in adult T-ALL (24%). In complete rearrangements, three downstream Vbeta segments (19-1/20-1/21-1) were preferentially used. Subsequently, a TCRB real-time quantitative PCR assay to quantify MRD with 13 germline Jbeta primer/probe combinations and allele-specific oligonucleotides was developed and applied to 60 clonal TCRB rearrangements. The assay allowed the detection of one leukemic cell within at least 10(4) polyclonal cells in 93% of cases and will be of high value for future MRD studies.

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Year:  2004        PMID: 14961040     DOI: 10.1038/sj.leu.2403263

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


  15 in total

1.  Real-time PCR method for the quantitative analysis of human T-cell receptor gamma and beta gene rearrangements.

Authors:  J L Chain; M L Joachims; S W Hooker; A B Laurent; C K Knott-Craig; L F Thompson
Journal:  J Immunol Methods       Date:  2005-03-18       Impact factor: 2.303

2.  CD56 expression in T-cell acute lymphoblastic leukemia is associated with non-thymic phenotype and resistance to induction therapy but no inferior survival after risk-adapted therapy.

Authors:  Lars Fischer; Nicola Gökbuget; Stefan Schwartz; Thomas Burmeister; Harald Rieder; Monika Brüggemann; Dieter Hoelzer; Eckhard Thiel
Journal:  Haematologica       Date:  2008-12-23       Impact factor: 9.941

Review 3.  Minimal residual disease diagnostics in acute lymphoblastic leukemia: need for sensitive, fast, and standardized technologies.

Authors:  Jacques J M van Dongen; Vincent H J van der Velden; Monika Brüggemann; Alberto Orfao
Journal:  Blood       Date:  2015-05-21       Impact factor: 22.113

Review 4.  Recent developments in the management of T-cell precursor acute lymphoblastic leukemia/lymphoma.

Authors:  Adele K Fielding; Lalita Banerjee; David I Marks
Journal:  Curr Hematol Malig Rep       Date:  2012-06       Impact factor: 3.952

5.  Standardized flow cytometry for highly sensitive MRD measurements in B-cell acute lymphoblastic leukemia.

Authors:  Prisca Theunissen; Ester Mejstrikova; Lukasz Sedek; Alita J van der Sluijs-Gelling; Giuseppe Gaipa; Marius Bartels; Elaine Sobral da Costa; Michaela Kotrová; Michaela Novakova; Edwin Sonneveld; Chiara Buracchi; Paola Bonaccorso; Elen Oliveira; Jeroen G Te Marvelde; Tomasz Szczepanski; Ludovic Lhermitte; Ondrej Hrusak; Quentin Lecrevisse; Georgiana Emilia Grigore; Eva Froňková; Jan Trka; Monika Brüggemann; Alberto Orfao; Jacques J M van Dongen; Vincent H J van der Velden
Journal:  Blood       Date:  2016-11-30       Impact factor: 22.113

6.  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

7.  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

8.  GvL effects in T-prolymphocytic leukemia: evidence from MRD kinetics and TCR repertoire analyses.

Authors:  L Sellner; M Brüggemann; M Schlitt; H Knecht; D Herrmann; T Reigl; A Krejci; V Bystry; N Darzentas; M Rieger; S Dietrich; T Luft; A D Ho; M Kneba; P Dreger
Journal:  Bone Marrow Transplant       Date:  2016-12-12       Impact factor: 5.483

9.  Hypermethylation of p15 gene associated with an inferior poor long-term outcome in childhood acute lymphoblastic leukemia.

Authors:  Huirong Mai; Xiaolan Liu; Yixin Chen; Changgang Li; Lizhi Cao; Xiaowen Chen; Senmin Chen; Guosheng Liu; Feiqiu Wen
Journal:  J Cancer Res Clin Oncol       Date:  2016-02       Impact factor: 4.553

Review 10.  Immune Gene Rearrangements: Unique Signatures for Tracing Physiological Lymphocytes and Leukemic Cells.

Authors:  Michaela Kotrova; Nikos Darzentas; Christiane Pott; Claudia D Baldus; Monika Brüggemann
Journal:  Genes (Basel)       Date:  2021-06-27       Impact factor: 4.096

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