Literature DB >> 26516228

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

Marie-Lorraine Chretien1, Jill Corre2, Valerie Lauwers-Cances3, Florence Magrangeas4, Alice Cleynen2, Edwige Yon3, Cyrille Hulin5, Xavier Leleu6, Frederique Orsini-Piocelle7, Jean-Sebastien Blade5, Claudine Sohn8, Lionel Karlin9, Xavier Delbrel10, Benjamin Hebraud11, Murielle Roussel11, Gerald Marit12, Laurent Garderet13, Mohamad Mohty13, Philippe Rodon14, Laurent Voillat15, Bruno Royer16, Arnaud Jaccard17, Karim Belhadj18, Jean Fontan19, Denis Caillot1, Anne-Marie Stoppa20, Michel Attal11, Thierry Facon6, Philippe Moreau21, Stephane Minvielle4, Hervé Avet-Loiseau2.   

Abstract

The prognosis of multiple myeloma is mainly dependent upon chromosomal changes. The 2 major abnormalities driving poor outcome are del(17p) and t(4;14). However, the outcome of these high-risk patients is not absolutely uniform, with some patients presenting long survival. We hypothesized that these better outcomes might be related to concomitant "good-risk" chromosomal changes exploring hyperdiploidy. We analyzed a large series of 965 myeloma patients, including 168 patients with t(4;14) and 126 patients with del(17p), using high-throughput single-nucleotide polymorphism arrays after plasma cell sorting. As expected, trisomic chromosomes were highly associated. Using the LASSO model, we found that only chromosome 3, when trisomic, was associated with a longer progression-free survival and that 3 trisomies modulated overall survival (OS) in myeloma patients: trisomies 3 and 5 significantly improved OS, whereas trisomy 21 worsened OS. In patients with t(4;14), trisomies 3 and/or 5 seemed to overcome the poor prognosis. For the first time, using a specific modeling approach, we show that not all trisomies display the same prognostic impact. This finding could be important for routine assessment of prognosis in myeloma, and some high-risk patients with a traditional evaluation could in fact be standard-risk patients.
© 2015 by The American Society of Hematology.

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Year:  2015        PMID: 26516228      PMCID: PMC4683332          DOI: 10.1182/blood-2015-06-650242

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


  20 in total

1.  Clinical implications of t(11;14)(q13;q32), t(4;14)(p16.3;q32), and -17p13 in myeloma patients treated with high-dose therapy.

Authors:  Morie A Gertz; Martha Q Lacy; Angela Dispenzieri; Philip R Greipp; Mark R Litzow; Kimberly J Henderson; Scott A Van Wier; Greg J Ahmann; Rafael Fonseca
Journal:  Blood       Date:  2005-06-23       Impact factor: 22.113

2.  High-resolution genomic profiles define distinct clinico-pathogenetic subgroups of multiple myeloma patients.

Authors:  Daniel R Carrasco; Giovanni Tonon; Yongsheng Huang; Yunyu Zhang; Raktim Sinha; Bin Feng; James P Stewart; Fenghuang Zhan; Deepak Khatry; Marina Protopopova; Alexei Protopopov; Kumar Sukhdeo; Ichiro Hanamura; Owen Stephens; Bart Barlogie; Kenneth C Anderson; Lynda Chin; John D Shaughnessy; Cameron Brennan; Ronald A Depinho
Journal:  Cancer Cell       Date:  2006-04       Impact factor: 31.743

3.  Genetic abnormalities and survival in multiple myeloma: the experience of the Intergroupe Francophone du Myélome.

Authors:  Hervé Avet-Loiseau; Michel Attal; Philippe Moreau; Catherine Charbonnel; Frédéric Garban; Cyrille Hulin; Serge Leyvraz; Mauricette Michallet; Ibrahim Yakoub-Agha; Laurent Garderet; Gérald Marit; Lucienne Michaux; Laurent Voillat; Marc Renaud; Bernard Grosbois; Gaelle Guillerm; Lotfi Benboubker; Mathieu Monconduit; Catherine Thieblemont; Philippe Casassus; Denis Caillot; Anne-Marie Stoppa; Jean-Jacques Sotto; Marc Wetterwald; Charles Dumontet; Jean-Gabriel Fuzibet; Isabelle Azais; Véronique Dorvaux; Marc Zandecki; Régis Bataille; Stéphane Minvielle; Jean-Luc Harousseau; Thierry Facon; Claire Mathiot
Journal:  Blood       Date:  2007-01-05       Impact factor: 22.113

4.  L1 penalized estimation in the Cox proportional hazards model.

Authors:  Jelle J Goeman
Journal:  Biom J       Date:  2010-02       Impact factor: 2.207

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

Authors:  Benjamin Hebraud; Florence Magrangeas; Alice Cleynen; Valerie Lauwers-Cances; Marie-Lorraine Chretien; Cyrille Hulin; Xavier Leleu; Edwige Yon; Gerald Marit; Lionel Karlin; Murielle Roussel; Anne-Marie Stoppa; Karim Belhadj; Laurent Voillat; Laurent Garderet; Margaret Macro; Denis Caillot; Mohamad Mohty; Thierry Facon; Philippe Moreau; Michel Attal; Nikhil Munshi; Jill Corre; Stephane Minvielle; Herve Avet-Loiseau
Journal:  Blood       Date:  2015-01-30       Impact factor: 22.113

6.  Translocation t(14;16) and multiple myeloma: is it really an independent prognostic factor?

Authors:  Hervé Avet-Loiseau; Florent Malard; Loic Campion; Florence Magrangeas; Catherine Sebban; Bruno Lioure; Olivier Decaux; Thierry Lamy; Laurence Legros; Jean-Gabriel Fuzibet; Mauricette Michallet; Bernadette Corront; Pascal Lenain; Cyrille Hulin; Claire Mathiot; Michel Attal; Thierry Facon; Jean-Luc Harousseau; Stephane Minvielle; Philippe Moreau
Journal:  Blood       Date:  2010-10-20       Impact factor: 22.113

7.  Frequent gain of chromosome band 1q21 in plasma-cell dyscrasias detected by fluorescence in situ hybridization: incidence increases from MGUS to relapsed myeloma and is related to prognosis and disease progression following tandem stem-cell transplantation.

Authors:  Ichiro Hanamura; James P Stewart; Yongsheng Huang; Fenghuang Zhan; Madhumita Santra; Jeffrey R Sawyer; Klaus Hollmig; Maurizio Zangarri; Mauricio Pineda-Roman; Frits van Rhee; Federica Cavallo; Bart Burington; John Crowley; Guido Tricot; Bart Barlogie; John D Shaughnessy
Journal:  Blood       Date:  2006-05-16       Impact factor: 22.113

8.  The impact of clone size on the prognostic value of chromosome aberrations by fluorescence in situ hybridization in multiple myeloma.

Authors:  Gang An; Zengjun Li; Yu-Tzu Tai; Chirag Acharya; Qian Li; Xiaoqi Qin; Shuhua Yi; Yan Xu; Xiaoyan Feng; Chengwen Li; Jiawei Zhao; Lihui Shi; Meirong Zang; Shuhui Deng; Weiwei Sui; Mu Hao; Dehui Zou; Yaozhong Zhao; Junyuan Qi; Tao Cheng; Kun Ru; Jianxiang Wang; Kenneth C Anderson; Lugui Qiu
Journal:  Clin Cancer Res       Date:  2015-02-04       Impact factor: 12.531

9.  Prognostic factors for hyperdiploid-myeloma: effects of chromosome 13 deletions and IgH translocations.

Authors:  W J Chng; R Santana-Dávila; S A Van Wier; G J Ahmann; S M Jalal; P L Bergsagel; M Chesi; M C Trendle; S Jacobus; E Blood; M M Oken; K Henderson; R A Kyle; M A Gertz; M Q Lacy; A Dispenzieri; P R Greipp; R Fonseca
Journal:  Leukemia       Date:  2006-05       Impact factor: 11.528

10.  Prognostic significance of copy-number alterations in multiple myeloma.

Authors:  Hervé Avet-Loiseau; Cheng Li; Florence Magrangeas; Wilfried Gouraud; Catherine Charbonnel; Jean-Luc Harousseau; Michel Attal; Gerald Marit; Claire Mathiot; Thierry Facon; Philippe Moreau; Kenneth C Anderson; Loïc Campion; Nikhil C Munshi; Stéphane Minvielle
Journal:  J Clin Oncol       Date:  2009-08-17       Impact factor: 44.544

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  42 in total

Review 1.  Molecular basis of clonal evolution in multiple myeloma.

Authors:  Yusuke Furukawa; Jiro Kikuchi
Journal:  Int J Hematol       Date:  2020-02-06       Impact factor: 2.490

Review 2.  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

3.  Analysis of the genomic landscape of multiple myeloma highlights novel prognostic markers and disease subgroups.

Authors:  N Bolli; G Biancon; M Moarii; S Gimondi; Y Li; C de Philippis; F Maura; V Sathiaseelan; Y-T Tai; L Mudie; S O'Meara; K Raine; J W Teague; A P Butler; C Carniti; M Gerstung; T Bagratuni; E Kastritis; M Dimopoulos; P Corradini; K Anderson; P Moreau; S Minvielle; P J Campbell; E Papaemmanuil; H Avet-Loiseau; N C Munshi
Journal:  Leukemia       Date:  2017-12-06       Impact factor: 11.528

4.  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

Review 5.  Evolutionary biology of high-risk multiple myeloma.

Authors:  Charlotte Pawlyn; Gareth J Morgan
Journal:  Nat Rev Cancer       Date:  2017-08-24       Impact factor: 60.716

Review 6.  Genomic complexity of multiple myeloma and its clinical implications.

Authors:  Salomon Manier; Karma Z Salem; Jihye Park; Dan A Landau; Gad Getz; Irene M Ghobrial
Journal:  Nat Rev Clin Oncol       Date:  2016-08-17       Impact factor: 66.675

7.  Interphase fluorescence in situ hybridization in untreated AL amyloidosis has an independent prognostic impact by abnormality type and treatment category.

Authors:  E Muchtar; A Dispenzieri; S K Kumar; R P Ketterling; D Dingli; M Q Lacy; F K Buadi; S R Hayman; P Kapoor; N Leung; R Chakraborty; W Gonsalves; R Warsame; T V Kourelis; S Russell; J A Lust; Y Lin; R S Go; S Zeldenrust; R A Kyle; S V Rajkumar; M A Gertz
Journal:  Leukemia       Date:  2016-12-01       Impact factor: 11.528

8.  Development and Validation of a Cytogenetic Prognostic Index Predicting Survival in Multiple Myeloma.

Authors:  Aurore Perrot; Valérie Lauwers-Cances; Elodie Tournay; Cyrille Hulin; Marie-Lorraine Chretien; Bruno Royer; Mamoun Dib; Olivier Decaux; Arnaud Jaccard; Karim Belhadj; Sabine Brechignac; Jean Fontan; Laurent Voillat; Hélène Demarquette; Philippe Collet; Philippe Rodon; Claudine Sohn; François Lifermann; Frédérique Orsini-Piocelle; Valentine Richez; Mohamad Mohty; Margaret Macro; Stéphane Minvielle; Philippe Moreau; Xavier Leleu; Thierry Facon; Michel Attal; Hervé Avet-Loiseau; Jill Corre
Journal:  J Clin Oncol       Date:  2019-05-15       Impact factor: 44.544

9.  Rapid assessment of hyperdiploidy in plasma cell disorders using a novel multi-parametric flow cytometry method.

Authors:  Surbhi Sidana; Dragan Jevremovic; Rhett P Ketterling; Nidhi Tandon; Angela Dispenzieri; Morie A Gertz; Patricia T Greipp; Linda B Baughn; Francis K Buadi; Martha Q Lacy; William Morice; Curtis Hanson; Michael Timm; David Dingli; Suzanne R Hayman; Wilson I Gonsalves; Prashant Kapoor; Robert A Kyle; Nelson Leung; Ronald S Go; John A Lust; S Vincent Rajkumar; Shaji K Kumar
Journal:  Am J Hematol       Date:  2019-01-08       Impact factor: 10.047

10.  Prognostic impact of hyperdiploidy in multiple myeloma patients with high-risk cytogenetics: a pilot study in China.

Authors:  Jiangang Mei; Yongping Zhai; Hanqing Li; Feng Li; Xiaogang Zhou; Ping Song; Qian Zhao; Yaping Yu; Zhiming An; Liping Wang
Journal:  J Cancer Res Clin Oncol       Date:  2018-08-24       Impact factor: 4.553

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