Literature DB >> 25636340

Role of additional chromosomal changes in the prognostic value of t(4;14) and del(17p) in multiple myeloma: the IFM experience.

Benjamin Hebraud1, Florence Magrangeas2, Alice Cleynen1, Valerie Lauwers-Cances3, Marie-Lorraine Chretien4, Cyrille Hulin5, Xavier Leleu6, Edwige Yon3, Gerald Marit7, Lionel Karlin8, Murielle Roussel9, Anne-Marie Stoppa10, Karim Belhadj11, Laurent Voillat12, Laurent Garderet13, Margaret Macro14, Denis Caillot4, Mohamad Mohty13, Thierry Facon6, Philippe Moreau15, Michel Attal9, Nikhil Munshi16, Jill Corre1, Stephane Minvielle2, Herve Avet-Loiseau1.   

Abstract

In multiple myeloma, cytogenetic changes are important predictors of patient outcome. In this setting, the most important changes are deletion 17p, del(17p), and translocation of chromosomes 4 and 14, t(4;14), conferring a poor outcome. However, a certain degree of heterogeneity is observed in the survival of these high-risk patients. We hypothesized that other chromosomal changes may impact the outcome. We retrospectively analyzed a large series of 242 patients displaying either t(4;14) (157 patients) or del(17p) (110 patients), 25 patients presenting both abnormalities, using single nucleotide polymorphism array. In patients with t(4;14), del(1p32), del22q, and >30 chromosomal structural changes negatively impacted progression-free survival (PFS). For overall survival (OS), del(13q14), del(1p32), and the number of chromosomal structural changes worsened the prognosis of patients. For patients with del(17p), del6q worsened the prognosis of patients, whereas trisomy 15 and monosomy 14 were found to have a protective effect on PFS. For OS, del(1p32) worsened the prognosis of patients, whereas having >8 numerical changes was found to have a protective effect on survival. This study, which is the largest series of high-risk patients analyzed with the most modern genomic technique, identified 1 main factor negatively impacting survival: del(1p32).

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Year:  2015        PMID: 25636340      PMCID: PMC4375107          DOI: 10.1182/blood-2014-07-587964

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


  19 in total

1.  The clinical significance of cytogenetic studies in 100 patients with multiple myeloma, plasma cell leukemia, or amyloidosis.

Authors:  G W Dewald; R A Kyle; G A Hicks; P R Greipp
Journal:  Blood       Date:  1985-08       Impact factor: 22.113

2.  Cytogenetic findings in 200 patients with multiple myeloma.

Authors:  J R Sawyer; J A Waldron; S Jagannath; B Barlogie
Journal:  Cancer Genet Cytogenet       Date:  1995-07-01

3.  A subset of multiple myeloma harboring the t(4;14)(p16;q32) translocation lacks FGFR3 expression but maintains an IGH/MMSET fusion transcript.

Authors:  Madhumita Santra; Fenghuang Zhan; Erming Tian; Bart Barlogie; John Shaughnessy
Journal:  Blood       Date:  2002-11-14       Impact factor: 22.113

4.  Long-term analysis of the IFM 99 trials for myeloma: cytogenetic abnormalities [t(4;14), del(17p), 1q gains] play a major role in defining long-term survival.

Authors:  Hervé Avet-Loiseau; Michel Attal; Loic Campion; Denis Caillot; Cyrille Hulin; Gerald Marit; Anne-Marie Stoppa; Laurent Voillat; Marc Wetterwald; Brigitte Pegourie; Eric Voog; Mourad Tiab; Anne Banos; Jerome Jaubert; Didier Bouscary; Margaret Macro; Brigitte Kolb; Catherine Traulle; Claire Mathiot; Florence Magrangeas; Stephane Minvielle; Thierry Facon; Philippe Moreau
Journal:  J Clin Oncol       Date:  2012-04-30       Impact factor: 44.544

5.  Cytogenetic analysis of 280 patients with multiple myeloma and related disorders: primary breakpoints and clinical correlations.

Authors:  M J Calasanz; J C Cigudosa; M D Odero; C Ferreira; M T Ardanaz; A Fraile; J L Carrasco; F Solé; B Cuesta; A Gullón
Journal:  Genes Chromosomes Cancer       Date:  1997-02       Impact factor: 5.006

6.  Clinical and biologic implications of recurrent genomic aberrations in myeloma.

Authors:  Rafael Fonseca; Emily Blood; Montserrat Rue; David Harrington; Martin M Oken; Robert A Kyle; Gordon W Dewald; Brian Van Ness; Scott A Van Wier; Kimberly J Henderson; Richard J Bailey; Philip R Greipp
Journal:  Blood       Date:  2003-02-06       Impact factor: 22.113

7.  Overexpression of c-maf is a frequent oncogenic event in multiple myeloma that promotes proliferation and pathological interactions with bone marrow stroma.

Authors:  Elaine M Hurt; Adrian Wiestner; Andreas Rosenwald; A L Shaffer; Elias Campo; Tom Grogan; P Leif Bergsagel; W Michael Kuehl; Louis M Staudt
Journal:  Cancer Cell       Date:  2004-02       Impact factor: 31.743

Review 8.  Improved cytogenetics in multiple myeloma: a study of 151 patients including 117 patients at diagnosis.

Authors:  J L Laï; M Zandecki; J Y Mary; F Bernardi; V Izydorczyk; M Flactif; P Morel; J P Jouet; F Bauters; T Facon
Journal:  Blood       Date:  1995-05-01       Impact factor: 22.113

9.  In multiple myeloma, t(4;14)(p16;q32) is an adverse prognostic factor irrespective of FGFR3 expression.

Authors:  Jonathan J Keats; Tony Reiman; Christopher A Maxwell; Brian J Taylor; Loree M Larratt; Michael J Mant; Andrew R Belch; Linda M Pilarski
Journal:  Blood       Date:  2002-10-03       Impact factor: 22.113

10.  Ectopic expression of MAFB gene in human myeloma cells carrying (14;20)(q32;q11) chromosomal translocations.

Authors:  I Hanamura; S Iida; Y Akano; Y Hayami; M Kato; K Miura; S Harada; S Banno; A Wakita; H Kiyoi; T Naoe; S Shimizu; S I Sonta; M Nitta; M Taniwaki; R Ueda
Journal:  Jpn J Cancer Res       Date:  2001-06
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  42 in total

Review 1.  Current Review on High-Risk Multiple Myeloma.

Authors:  Henry S H Chan; Christine I Chen; Donna E Reece
Journal:  Curr Hematol Malig Rep       Date:  2017-04       Impact factor: 3.952

2.  Understanding the role of hyperdiploidy in myeloma prognosis: which trisomies really matter?

Authors:  Marie-Lorraine Chretien; Jill Corre; Valerie Lauwers-Cances; Florence Magrangeas; Alice Cleynen; Edwige Yon; Cyrille Hulin; Xavier Leleu; Frederique Orsini-Piocelle; Jean-Sebastien Blade; Claudine Sohn; Lionel Karlin; Xavier Delbrel; Benjamin Hebraud; Murielle Roussel; Gerald Marit; Laurent Garderet; Mohamad Mohty; Philippe Rodon; Laurent Voillat; Bruno Royer; Arnaud Jaccard; Karim Belhadj; Jean Fontan; Denis Caillot; Anne-Marie Stoppa; Michel Attal; Thierry Facon; Philippe Moreau; Stephane Minvielle; Hervé Avet-Loiseau
Journal:  Blood       Date:  2015-10-29       Impact factor: 22.113

3.  Innovations in treatment and response evaluation in multiple myeloma.

Authors:  Ruth Wester; Pieter Sonneveld
Journal:  Haematologica       Date:  2016-05       Impact factor: 9.941

Review 4.  The effect of novel therapies in high-molecular-risk multiple myeloma.

Authors:  Guido Lancman; Douglas Tremblay; Kevin Barley; Bart Barlogie; Hearn Jay Cho; Sundar Jagannath; Deepu Madduri; Erin Moshier; Samir Parekh; Ajai Chari
Journal:  Clin Adv Hematol Oncol       Date:  2017-11

Review 5.  Genetics of multiple myeloma: another heterogeneity level?

Authors:  Jill Corre; Nikhil Munshi; Hervé Avet-Loiseau
Journal:  Blood       Date:  2015-01-27       Impact factor: 22.113

Review 6.  Toward personalized treatment in multiple myeloma based on molecular characteristics.

Authors:  Charlotte Pawlyn; Faith E Davies
Journal:  Blood       Date:  2018-12-26       Impact factor: 22.113

7.  Chromosome 1 abnormalities and survival of patients with multiple myeloma in the era of novel agents.

Authors:  Smith Giri; Scott F Huntington; Rong Wang; Amer M Zeidan; Nikolai Podoltsev; Steven D Gore; Xiaomei Ma; Cary P Gross; Amy J Davidoff; Natalia Neparidze
Journal:  Blood Adv       Date:  2020-05-26

8.  Additional-structural-chromosomal aberrations are associated with inferior clinical outcome in patients with hyperdiploid multiple myeloma: a single-institution experience.

Authors:  Adrian A Carballo-Zarate; L Jeffrey Medeiros; Lianghua Fang; Jatin J Shah; Donna M Weber; Sheeba K Thomas; Elisabet E Manasanch; Suyang Hao; Qi Shen; Robert Z Orlowski; Pei Lin; Xinyan Lu
Journal:  Mod Pathol       Date:  2017-03-10       Impact factor: 7.842

9.  Integrative analysis of signaling pathways and diseases associated with the miR-106b/25 cluster and their function study in berberine-induced multiple myeloma cells.

Authors:  Chunming Gu; Tianfu Li; Zhao Yin; Shengting Chen; Jia Fei; Jianping Shen; Yuan Zhang
Journal:  Funct Integr Genomics       Date:  2016-09-19       Impact factor: 3.410

10.  Hyperhaploidy is a novel high-risk cytogenetic subgroup in multiple myeloma.

Authors:  J R Sawyer; E Tian; J D Shaughnessy; J Epstein; C M Swanson; C Stangeby; C L Hale; L Parr; M Lynn; G Sammartino; J L Lukacs; C Stein; C Bailey; M Zangari; F E Davies; F Van Rhee; B Barlogie; G J Morgan
Journal:  Leukemia       Date:  2016-10-03       Impact factor: 11.528

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