Literature DB >> 26846718

The outcome of Chronic lymphocytic leukaemia patients with 97% IGHV gene identity to germline is distinct from cases with <97% identity and similar to those with 98% identity.

Zadie Davis1, Francesco Forconi2, Anton Parker1, Anne Gardiner1, Peter Thomas3, Daniel Catovsky4, Matthew Rose-Zerilli2, Jonathan C Strefford2, David Oscier1.   

Abstract

IGHV gene mutational status has prognostic significance in chronic lymphocytic leukaemia (CLL) but the percentage of mutations that correlates best with clinical outcome remains controversial. We initially studied 558 patients from diagnosis and found significant differences in median time to first treatment (TTFT) among Stage A patients and in overall survival (OS) for the whole cohort, between cases with <97% and 97-98·99% identity and between cases with 97-98·99% and ≥99% identity, when cases from the IGHV3-21 Stereotype Subset #2 were excluded. A significant difference in progression-free survival (PFS) and OS between those with <97% and 97-98·99% identity, but not between those with 97-98·99% and ≥99% identity was also observed in a validation cohort comprising 460 patients in the UK CLL4 trial. Cox Regression analyses in the Stage A cohort revealed that a model which incorporated <97%, 97-98·99% and ≥99% identity as subgroups, was a better predictor of TTFT in CLL than using the 98% cut-off. Multivariate analysis selected the three mutational subgroups as independent predictors of TTFT in Stage A patients, and of OS in the diagnostic cohort. This study highlights that cases with 97% identity should not be considered to have the same prognosis as other cases with mutated IGHV genes defined as <98% identity to germline.
© 2016 John Wiley & Sons Ltd.

Entities:  

Keywords:  Chronic lymphocytic leukaemia; IGHV; V-genes; mutation analysis; prognostic factors

Mesh:

Substances:

Year:  2016        PMID: 26846718     DOI: 10.1111/bjh.13940

Source DB:  PubMed          Journal:  Br J Haematol        ISSN: 0007-1048            Impact factor:   6.998


  8 in total

1.  The absolute percent deviation of IGHV mutation rather than a 98% cut-off predicts survival of chronic lymphocytic leukaemia patients treated with fludarabine, cyclophosphamide and rituximab.

Authors:  Preetesh Jain; Graciela M Nogueras González; Rashmi Kanagal-Shamanna; Uri Rozovski; Nawid Sarwari; Constantine Tam; William G Wierda; Philip A Thompson; Nitin Jain; Rajyalakshmi Luthra; Andres Quesada; Gabriela Sanchez-Petitto; Alessandra Ferrajoli; Jan Burger; Hagop Kantarjian; Jorge Cortes; Susan O'Brien; Michael J Keating; Zeev Estrov
Journal:  Br J Haematol       Date:  2017-11-21       Impact factor: 6.998

2.  98% IGHV gene identity is the optimal cutoff to dichotomize the prognosis of Chinese patients with chronic lymphocytic leukemia.

Authors:  Ke Shi; Qian Sun; Chun Qiao; Huayuan Zhu; Li Wang; Jiazhu Wu; Lili Wang; Jianxin Fu; Ken H Young; Lei Fan; Yi Xia; Wei Xu; Jianyong Li
Journal:  Cancer Med       Date:  2019-12-17       Impact factor: 4.452

3.  Immunoglobulin heavy variable somatic hyper mutation status in chronic lymphocytic leukaemia: on the threshold of a new era?

Authors:  Anton W Langerak; Frédéric Davi; Kostas Stamatopoulos
Journal:  Br J Haematol       Date:  2020-01-30       Impact factor: 6.998

4.  Impact of the Types and Relative Quantities of IGHV Gene Mutations in Predicting Prognosis of Patients With Chronic Lymphocytic Leukemia.

Authors:  Matthew Kaufman; Xiao-Jie Yan; Wentian Li; Emanuela M Ghia; Anton W Langerak; Laura Z Rassenti; Chrysoula Belessi; Neil E Kay; Frederic Davi; John C Byrd; Sarka Pospisilova; Jennifer R Brown; Mark Catherwood; Zadie Davis; David Oscier; Marco Montillo; Livio Trentin; Richard Rosenquist; Paolo Ghia; Jacqueline C Barrientos; Jonathan E Kolitz; Steven L Allen; Kanti R Rai; Kostas Stamatopoulos; Thomas J Kipps; Donna Neuberg; Nicholas Chiorazzi
Journal:  Front Oncol       Date:  2022-07-12       Impact factor: 5.738

5.  Generation of antibody-based therapeutics targeting the Idiotype of B-cell Malignancies.

Authors:  Emily Weiss; Robert Sarnovsky; Mitchell Ho; Evgeny Arons; Robert Kreitman; Evan Angelus; Antonella Antignani; David FitzGerald
Journal:  Antib Ther       Date:  2018-12-27

6.  Prognostic models for newly-diagnosed chronic lymphocytic leukaemia in adults: a systematic review and meta-analysis.

Authors:  Nina Kreuzberger; Johanna Aag Damen; Marialena Trivella; Lise J Estcourt; Angela Aldin; Lisa Umlauff; Maria Dla Vazquez-Montes; Robert Wolff; Karel Gm Moons; Ina Monsef; Farid Foroutan; Karl-Anton Kreuzer; Nicole Skoetz
Journal:  Cochrane Database Syst Rev       Date:  2020-07-31

7.  Immunoglobulin gene sequence analysis in chronic lymphocytic leukemia: updated ERIC recommendations.

Authors:  R Rosenquist; P Ghia; A Hadzidimitriou; L-A Sutton; A Agathangelidis; P Baliakas; N Darzentas; V Giudicelli; M-P Lefranc; A W Langerak; C Belessi; F Davi; K Stamatopoulos
Journal:  Leukemia       Date:  2017-04-25       Impact factor: 11.528

8.  IGHV-associated methylation signatures more accurately predict clinical outcomes of chronic lymphocytic leukemia patients than IGHV mutation load.

Authors:  Dianna Hussmann; Anna Starnawska; Louise Kristensen; Iben Daugaard; Astrid Thomsen; Tina E Kjeldsen; Christine Søholm Hansen; Jonas Bybjerg-Grauholm; Karina Dalsgaard Johansen; Maja Ludvigsen; Thomas Kristensen; Thomas Stauffer Larsen; Michael Boe Møller; Charlotte Guldborg Nyvold; Lise Lotte Hansen; Tomasz K Wojdacz
Journal:  Haematologica       Date:  2022-04-01       Impact factor: 9.941

  8 in total

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