Literature DB >> 20715110

The B cell antigen receptor in atypical chronic lymphocytic leukemia with t(14;19)(q32;q13) demonstrates remarkable stereotypy.

Carmen D Schweighofer1, Yang O Huh, Rajyalakshmi Luthra, Rachel L Sargent, Rhett P Ketterling, Ryan A Knudson, Lynn L Barron, L Jeffrey Medeiros, Michael J Keating, Lynne V Abruzzo.   

Abstract

The t(14;19)(q32;q13) is a recurrent chromosomal translocation reported in a variety of B-cell leukemias and lymphomas, including chronic lymphocytic leukemia (CLL). CLL cases associated with t(14;19) often have atypical morphologic and immunophenotypic features and unmutated immunoglobulin heavy chain (IGH) variable region (V) genes, associated with an aggressive clinical course. We analyzed IGHV somatic mutation status and gene use in 11 patients with t(14;19)-positive CLL. All cases were unmutated, and the IGHV genes in 10 cases showed minimal deviation from germline sequences. In 7 of 11 patients, we found homologous heavy chain rearrangements using IGHV4-39; light chain analysis revealed identical IGKV1-39 use. Corresponding V-(D)-J sequences demonstrated remarkable stereotypy of the immunoglobulin heavy and kappa light chain complementarity determining region 3 (H/K CDR3) genes. These findings raise the possibility that specific antigen drive is involved in the clonal development and/or selection of t(14;19)(q32;q13)-positive CLL cells. Our findings support the hypothesis that stimulatory signals through specific antigen receptors may promote the expansion of either CLL precursor cells or CLL clones that harbor distinct chromosomal abnormalities.
Copyright © 2010 UICC.

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Year:  2010        PMID: 20715110     DOI: 10.1002/ijc.25605

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  8 in total

1.  IGH translocations in chronic lymphocytic leukemia: Clinicopathologic features and clinical outcomes.

Authors:  Hong Fang; Kaaren K Reichard; Kari G Rabe; Curtis A Hanson; Timothy G Call; Wei Ding; Saad S Kenderian; Eli Muchtar; Susan M Schwager; Jose F Leis; Asher A Chanan-Khan; Susan L Slager; Esteban Braggio; Stephanie A Smoley; Neil E Kay; Tait D Shanafelt; Daniel L Van Dyke; Sameer A Parikh
Journal:  Am J Hematol       Date:  2019-01-08       Impact factor: 10.047

2.  Specific chromosomal IG translocations have different prognoses in chronic lymphocytic leukemia.

Authors:  Florence Nguyen-Khac; Elise Chapiro; Claude Lesty; Aurore Grelier; Isabelle Luquet; Isabelle Radford-Weiss; Christine Lefebvre; Sandra Fert-Ferrer; Evelyne Callet-Bauchu; Eric Lippert; Victoria Raggueneau; Lucienne Michaux; Carole Barin; Marie-Agnes Collonge-Rame; Francine Mugneret; Virginie Eclache; Sylvie Taviaux; Nicole Dastugue; Steven Richebourg; Stéphanie Struski; Pascaline Talmant; Laurence Baranger; Nathalie Gachard; Carine Gervais; Benoit Quilichini; Catherine Settegrana; Karim Maloum; Frederic Davi; Hélène Merle-Béral
Journal:  Am J Blood Res       Date:  2011-04-15

3.  Genomic variation by whole-genome SNP mapping arrays predicts time-to-event outcome in patients with chronic lymphocytic leukemia: a comparison of CLL and HapMap genotypes.

Authors:  Carmen D Schweighofer; Kevin R Coombes; Tadeusz Majewski; Lynn L Barron; Susan Lerner; Rachel L Sargent; Susan O'Brien; Alessandra Ferrajoli; William G Wierda; Bogdan A Czerniak; L Jeffrey Medeiros; Michael J Keating; Lynne V Abruzzo
Journal:  J Mol Diagn       Date:  2012-12-27       Impact factor: 5.568

4.  Immunoglobulin gene translocations in chronic lymphocytic leukemia: A report of 35 patients and review of the literature.

Authors:  Marc DE Braekeleer; Corine Tous; Nadia Guéganic; Marie-Josée LE Bris; Audrey Basinko; Frédéric Morel; Nathalie Douet-Guilbert
Journal:  Mol Clin Oncol       Date:  2016-02-26

5.  Simulation-derived best practices for clustering clinical data.

Authors:  Caitlin E Coombes; Xin Liu; Zachary B Abrams; Kevin R Coombes; Guy Brock
Journal:  J Biomed Inform       Date:  2021-04-20       Impact factor: 8.000

6.  VDJSeq-Solver: in silico V(D)J recombination detection tool.

Authors:  Giulia Paciello; Andrea Acquaviva; Chiara Pighi; Alberto Ferrarini; Enrico Macii; Alberto Zamo'; Elisa Ficarra
Journal:  PLoS One       Date:  2015-03-23       Impact factor: 3.240

7.  Comprehensive Analysis of Disease-Related Genes in Chronic Lymphocytic Leukemia by Multiplex PCR-Based Next Generation Sequencing.

Authors:  Claudia Vollbrecht; Fabian Dominik Mairinger; Ulrike Koitzsch; Martin Peifer; Katharina Koenig; Lukas Carl Heukamp; Giuliano Crispatzu; Laura Wilden; Karl-Anton Kreuzer; Michael Hallek; Margarete Odenthal; Carmen Diana Herling; Reinhard Buettner
Journal:  PLoS One       Date:  2015-06-08       Impact factor: 3.240

8.  Unsupervised machine learning and prognostic factors of survival in chronic lymphocytic leukemia.

Authors:  Caitlin E Coombes; Zachary B Abrams; Suli Li; Lynne V Abruzzo; Kevin R Coombes
Journal:  J Am Med Inform Assoc       Date:  2020-07-01       Impact factor: 4.497

  8 in total

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