Literature DB >> 26282654

Mutational Spectrum, Copy Number Changes, and Outcome: Results of a Sequencing Study of Patients With Newly Diagnosed Myeloma.

Brian A Walker1, Eileen M Boyle1, Christopher P Wardell1, Alex Murison1, Dil B Begum1, Nasrin M Dahir1, Paula Z Proszek1, David C Johnson1, Martin F Kaiser1, Lorenzo Melchor1, Lauren I Aronson1, Matthew Scales1, Charlotte Pawlyn1, Fabio Mirabella1, John R Jones1, Annamaria Brioli1, Aneta Mikulasova1, David A Cairns1, Walter M Gregory1, Ana Quartilho1, Mark T Drayson1, Nigel Russell1, Gordon Cook1, Graham H Jackson1, Xavier Leleu1, Faith E Davies1, Gareth J Morgan2.   

Abstract

PURPOSE: At the molecular level, myeloma is characterized by copy number abnormalities and recurrent translocations into the immunoglobulin heavy chain locus. Novel methods, such as massively parallel sequencing, have begun to describe the pattern of tumor-acquired mutations, but their clinical relevance has yet to be established.
METHODS: We performed whole-exome sequencing for 463 patients who presented with myeloma and were enrolled onto the National Cancer Research Institute Myeloma XI trial, for whom complete molecular cytogenetic and clinical outcome data were available.
RESULTS: We identified 15 significantly mutated genes: IRF4, KRAS, NRAS, MAX, HIST1H1E, RB1, EGR1, TP53, TRAF3, FAM46C, DIS3, BRAF, LTB, CYLD, and FGFR3. The mutational spectrum is dominated by mutations in the RAS (43%) and nuclear factor-κB (17%) pathways, but although they are prognostically neutral, they could be targeted therapeutically. Mutations in CCND1 and DNA repair pathway alterations (TP53, ATM, ATR, and ZNFHX4 mutations) are associated with a negative impact on survival. In contrast, those in IRF4 and EGR1 are associated with a favorable overall survival. We combined these novel mutation risk factors with the recurrent molecular adverse features and international staging system to generate an international staging system mutation score that can identify a high-risk population of patients who experience relapse and die prematurely.
CONCLUSION: We have refined our understanding of genetic events in myeloma and identified clinically relevant mutations that may be used to better stratify patients at presentation.
© 2015 by American Society of Clinical Oncology.

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Year:  2015        PMID: 26282654      PMCID: PMC6485456          DOI: 10.1200/JCO.2014.59.1503

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  42 in total

1.  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

2.  Gene mapping and expression analysis of 16q loss of heterozygosity identifies WWOX and CYLD as being important in determining clinical outcome in multiple myeloma.

Authors:  Matthew W Jenner; Paola E Leone; Brian A Walker; Fiona M Ross; David C Johnson; David Gonzalez; Laura Chiecchio; Elisabet Dachs Cabanas; Gian Paolo Dagrada; Mathew Nightingale; Rebecca K M Protheroe; David Stockley; Monica Else; Nicholas J Dickens; Nicholas C P Cross; Faith E Davies; Gareth J Morgan
Journal:  Blood       Date:  2007-07-03       Impact factor: 22.113

3.  International staging system for multiple myeloma.

Authors:  Philip R Greipp; Jesus San Miguel; Brian G M Durie; John J Crowley; Bart Barlogie; Joan Bladé; Mario Boccadoro; J Anthony Child; Herve Avet-Loiseau; Jean-Luc Harousseau; Robert A Kyle; Juan J Lahuerta; Heinz Ludwig; Gareth Morgan; Raymond Powles; Kazuyuki Shimizu; Chaim Shustik; Pieter Sonneveld; Patrizia Tosi; Ingemar Turesson; Jan Westin
Journal:  J Clin Oncol       Date:  2005-04-04       Impact factor: 44.544

4.  Relation between genetic variants of the ataxia telangiectasia-mutated (ATM) gene, drug resistance, clinical outcome and predisposition to childhood T-lineage acute lymphoblastic leukaemia.

Authors:  M Meier; M L den Boer; A G Hall; J A E Irving; M Passier; L Minto; E R van Wering; G E Janka-Schaub; R Pieters
Journal:  Leukemia       Date:  2005-11       Impact factor: 11.528

5.  Global analysis of uniparental disomy using high density genotyping arrays.

Authors:  S Bruce; R Leinonen; C M Lindgren; K Kivinen; K Dahlman-Wright; M Lipsanen-Nyman; K Hannula-Jouppi; J Kere
Journal:  J Med Genet       Date:  2005-05-06       Impact factor: 6.318

6.  A proteomic analysis of ataxia telangiectasia-mutated (ATM)/ATM-Rad3-related (ATR) substrates identifies the ubiquitin-proteasome system as a regulator for DNA damage checkpoints.

Authors:  Jung-Jung Mu; Yi Wang; Hao Luo; Mei Leng; Jinglan Zhang; Tao Yang; Dario Besusso; Sung Yun Jung; Jun Qin
Journal:  J Biol Chem       Date:  2007-05-03       Impact factor: 5.157

7.  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

8.  Oligonucleotide microarrays demonstrate the highest frequency of ATM mutations in the mantle cell subtype of lymphoma.

Authors:  Nicole Y Fang; Timothy C Greiner; Dennis D Weisenburger; Wing C Chan; Julie M Vose; Lynette M Smith; James O Armitage; R Aeryn Mayer; Brian L Pike; Francis S Collins; Joseph G Hacia
Journal:  Proc Natl Acad Sci U S A       Date:  2003-04-15       Impact factor: 11.205

9.  ATM and ATR substrate analysis reveals extensive protein networks responsive to DNA damage.

Authors:  Shuhei Matsuoka; Bryan A Ballif; Agata Smogorzewska; E Robert McDonald; Kristen E Hurov; Ji Luo; Corey E Bakalarski; Zhenming Zhao; Nicole Solimini; Yaniv Lerenthal; Yosef Shiloh; Steven P Gygi; Stephen J Elledge
Journal:  Science       Date:  2007-05-25       Impact factor: 47.728

10.  Haploinsufficiency of EGR1, a candidate gene in the del(5q), leads to the development of myeloid disorders.

Authors:  John M Joslin; Anthony A Fernald; Thelma R Tennant; Elizabeth M Davis; Scott C Kogan; John Anastasi; John D Crispino; Michelle M Le Beau
Journal:  Blood       Date:  2007-04-09       Impact factor: 22.113

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  221 in total

Review 1.  Hairy cell leukemia: present and future directions.

Authors:  Robert J Kreitman
Journal:  Leuk Lymphoma       Date:  2019-05-09

2.  Loss of FAM46C Promotes Cell Survival in Myeloma.

Authors:  Yuan Xiao Zhu; Chang-Xin Shi; Laura A Bruins; Patrick Jedlowski; Xuewei Wang; K Martin Kortüm; Moulun Luo; Jonathan M Ahmann; Esteban Braggio; A Keith Stewart
Journal:  Cancer Res       Date:  2017-06-15       Impact factor: 12.701

3.  Identification of novel mutational drivers reveals oncogene dependencies in multiple myeloma.

Authors:  Brian A Walker; Konstantinos Mavrommatis; Christopher P Wardell; T Cody Ashby; Michael Bauer; Faith E Davies; Adam Rosenthal; Hongwei Wang; Pingping Qu; Antje Hoering; Mehmet Samur; Fadi Towfic; Maria Ortiz; Erin Flynt; Zhinuan Yu; Zhihong Yang; Dan Rozelle; John Obenauer; Matthew Trotter; Daniel Auclair; Jonathan Keats; Niccolo Bolli; Mariateresa Fulciniti; Raphael Szalat; Philippe Moreau; Brian Durie; A Keith Stewart; Hartmut Goldschmidt; Marc S Raab; Hermann Einsele; Pieter Sonneveld; Jesus San Miguel; Sagar Lonial; Graham H Jackson; Kenneth C Anderson; Herve Avet-Loiseau; Nikhil Munshi; Anjan Thakurta; Gareth J Morgan
Journal:  Blood       Date:  2018-06-08       Impact factor: 22.113

Review 4.  Gene Expression Profiles in Myeloma: Ready for the Real World?

Authors:  Raphael Szalat; Herve Avet-Loiseau; Nikhil C Munshi
Journal:  Clin Cancer Res       Date:  2016-11-15       Impact factor: 12.531

5.  Comprehensive translocation and clonality detection in lymphoproliferative disorders by next-generation sequencing.

Authors:  Dörte Wren; Brian A Walker; Monika Brüggemann; Mark A Catherwood; Christiane Pott; Kostas Stamatopoulos; Anton W Langerak; David Gonzalez
Journal:  Haematologica       Date:  2016-10-20       Impact factor: 9.941

6.  Insights into the genomic landscape of MYD88 wild-type Waldenström macroglobulinemia.

Authors:  Zachary R Hunter; Lian Xu; Nickolas Tsakmaklis; Maria G Demos; Amanda Kofides; Cristina Jimenez; Gloria G Chan; Jiaji Chen; Xia Liu; Manit Munshi; Joshua Gustine; Kirsten Meid; Christopher J Patterson; Guang Yang; Toni Dubeau; Mehmet K Samur; Jorge J Castillo; Kenneth C Anderson; Nikhil C Munshi; Steven P Treon
Journal:  Blood Adv       Date:  2018-11-13

7.  Mutational screening of newly diagnosed multiple myeloma patients by deep targeted sequencing.

Authors:  Yanira Ruiz-Heredia; Beatriz Sánchez-Vega; Esther Onecha; Santiago Barrio; Rafael Alonso; Jose Carlos Martínez-Ávila; Isabel Cuenca; Xabier Agirre; Esteban Braggio; Miguel-T Hernández; Rafael Martínez; Laura Rosiñol; Norma Gutierrez; Marisa Martin-Ramos; Enrique M Ocio; María-Asunción Echeveste; Jaime Pérez de Oteyza; Albert Oriol; Joan Bargay; Mercedes Gironella; Rosa Ayala; Joan Bladé; María-Victoria Mateos; Klaus M Kortum; Keith Stewart; Ramón García-Sanz; Jesús San Miguel; Juan José Lahuerta; Joaquín Martinez-Lopez
Journal:  Haematologica       Date:  2018-06-28       Impact factor: 9.941

Review 8.  Comprehensive characterization of circulating and bone marrow-derived multiple myeloma cells at minimal residual disease.

Authors:  Johannes M Waldschmidt; Praveen Anand; Birgit Knoechel; Jens G Lohr
Journal:  Semin Hematol       Date:  2018-03-01       Impact factor: 3.851

Review 9.  Immunologic approaches for the treatment of multiple myeloma.

Authors:  Leo Rasche; Niels Weinhold; Gareth J Morgan; Frits van Rhee; Faith E Davies
Journal:  Cancer Treat Rev       Date:  2017-04-06       Impact factor: 12.111

10.  IQGAP1 Scaffold-MAP Kinase Interactions Enhance Multiple Myeloma Clonogenic Growth and Self-Renewal.

Authors:  Christian B Gocke; Ross McMillan; Qiuju Wang; Asma Begum; Vesselin R Penchev; Syed A Ali; Ivan Borrello; Carol Ann Huff; William Matsui
Journal:  Mol Cancer Ther       Date:  2016-08-29       Impact factor: 6.261

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