Literature DB >> 26022710

Four genes predict high risk of progression from smoldering to symptomatic multiple myeloma (SWOG S0120).

Rashid Khan1, Madhav Dhodapkar2, Adam Rosenthal3, Christoph Heuck1, Xenofon Papanikolaou1, Pingping Qu3, Frits van Rhee1, Maurizio Zangari1, Yogesh Jethava1, Joshua Epstein1, Shmuel Yaccoby1, Antje Hoering3, John Crowley3, Nathan Petty1, Clyde Bailey1, Gareth Morgan1, Bart Barlogie4.   

Abstract

Multiple myeloma is preceded by an asymptomatic phase, comprising monoclonal gammopathy of uncertain significance and smoldering myeloma. Compared to the former, smoldering myeloma has a higher and non-uniform rate of progression to clinical myeloma, reflecting a subset of patients with higher risk. We evaluated the gene expression profile of smoldering myeloma plasma cells among 105 patients enrolled in a prospective observational trial at our institution, with a view to identifying a high-risk signature. Baseline clinical, bone marrow, cytogenetic and radiologic data were evaluated for their potential to predict time to therapy for symptomatic myeloma. A gene signature derived from four genes, at an optimal binary cut-point of 9.28, identified 14 patients (13%) with a 2-year therapy risk of 85.7%. Conversely, a low four-gene score (< 9.28) combined with baseline monoclonal protein < 3 g/dL and albumin ≥ 3.5 g/dL identified 61 patients with low-risk smoldering myeloma with a 5.0% chance of progression at 2 years. The top 40 probe sets showed concordance with indices of chromosome instability. These data demonstrate high discriminatory power of a gene-based assay and suggest a role for dysregulation of mitotic checkpoints in the context of genomic instability as a hallmark of high-risk smoldering myeloma. Copyright© Ferrata Storti Foundation.

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Year:  2015        PMID: 26022710      PMCID: PMC4800692          DOI: 10.3324/haematol.2015.124651

Source DB:  PubMed          Journal:  Haematologica        ISSN: 0390-6078            Impact factor:   9.941


  41 in total

1.  Prognostic value of cyclin D2 mRNA expression in newly diagnosed multiple myeloma treated with high-dose chemotherapy and tandem autologous stem cell transplantations.

Authors:  I Hanamura; Y Huang; F Zhan; B Barlogie; J Shaughnessy
Journal:  Leukemia       Date:  2006-05-11       Impact factor: 11.528

2.  Plasma cell labeling index in the evaluation of smoldering (asymptomatic) multiple myeloma.

Authors:  Sumit Madan; Robert A Kyle; Philip R Greipp
Journal:  Mayo Clin Proc       Date:  2010-03       Impact factor: 7.616

3.  Validated prediction of clinical outcome in sarcomas and multiple types of cancer on the basis of a gene expression signature related to genome complexity.

Authors:  Frédéric Chibon; Pauline Lagarde; Sébastien Salas; Gaëlle Pérot; Véronique Brouste; Franck Tirode; Carlo Lucchesi; Aurélien de Reynies; Audrey Kauffmann; Binh Bui; Philippe Terrier; Sylvie Bonvalot; Axel Le Cesne; Dominique Vince-Ranchère; Jean-Yves Blay; Françoise Collin; Louis Guillou; Agnès Leroux; Jean-Michel Coindre; Alain Aurias
Journal:  Nat Med       Date:  2010-06-27       Impact factor: 53.440

4.  Monoclonal gammopathy of undetermined significance (MGUS) consistently precedes multiple myeloma: a prospective study.

Authors:  Ola Landgren; Robert A Kyle; Ruth M Pfeiffer; Jerry A Katzmann; Neil E Caporaso; Richard B Hayes; Angela Dispenzieri; Shaji Kumar; Raynell J Clark; Dalsu Baris; Robert Hoover; S Vincent Rajkumar
Journal:  Blood       Date:  2009-01-29       Impact factor: 22.113

5.  A monoclonal gammopathy precedes multiple myeloma in most patients.

Authors:  Brendan M Weiss; Jude Abadie; Pramvir Verma; Robin S Howard; W Michael Kuehl
Journal:  Blood       Date:  2009-02-20       Impact factor: 22.113

6.  New criteria to identify risk of progression in monoclonal gammopathy of uncertain significance and smoldering multiple myeloma based on multiparameter flow cytometry analysis of bone marrow plasma cells.

Authors:  Ernesto Pérez-Persona; María-Belén Vidriales; Gema Mateo; Ramón García-Sanz; Maria-Victoria Mateos; Alfonso García de Coca; Josefina Galende; Guillermo Martín-Nuñez; José M Alonso; Natalia de Las Heras; José M Hernández; Alejandro Martín; Consuelo López-Berges; Alberto Orfao; Jesús F San Miguel
Journal:  Blood       Date:  2007-06-18       Impact factor: 22.113

7.  Prediction of survival in multiple myeloma based on gene expression profiles reveals cell cycle and chromosomal instability signatures in high-risk patients and hyperdiploid signatures in low-risk patients: a study of the Intergroupe Francophone du Myélome.

Authors:  Olivier Decaux; Laurence Lodé; Florence Magrangeas; Catherine Charbonnel; Wilfried Gouraud; Pascal Jézéquel; Michel Attal; Jean-Luc Harousseau; Philippe Moreau; Régis Bataille; Loïc Campion; Hervé Avet-Loiseau; Stéphane Minvielle
Journal:  J Clin Oncol       Date:  2008-06-30       Impact factor: 44.544

Review 8.  The molecular characterization and clinical management of multiple myeloma in the post-genome era.

Authors:  Y Zhou; B Barlogie; J D Shaughnessy
Journal:  Leukemia       Date:  2009-08-06       Impact factor: 11.528

9.  Overexpression of RRM2 decreases thrombspondin-1 and increases VEGF production in human cancer cells in vitro and in vivo: implication of RRM2 in angiogenesis.

Authors:  Keqiang Zhang; Shuya Hu; Jun Wu; Linling Chen; Jianming Lu; Xiaochen Wang; Xiyong Liu; Bingsen Zhou; Yun Yen
Journal:  Mol Cancer       Date:  2009-02-28       Impact factor: 27.401

10.  Identification of retinoic acid-regulated nuclear matrix-associated protein as a novel regulator of gastric cancer.

Authors:  J Li; E K O Ng; Y P Ng; C Y P Wong; J Yu; H Jin; V Y Y Cheng; M Y Y Go; P K F Cheung; M P A Ebert; J Tong; K F To; F K L Chan; J J Y Sung; N Y Ip; W K Leung
Journal:  Br J Cancer       Date:  2009-08-18       Impact factor: 7.640

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  17 in total

Review 1.  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

2.  The transcriptomic profile of CD138+ cells from patients with early progression from smoldering to active multiple myeloma remains substantially unchanged.

Authors:  Paola Storti; Luca Agnelli; Benedetta Dalla Palma; Katia Todoerti; Valentina Marchica; Fabrizio Accardi; Gabriella Sammarelli; Federica Deluca; Denise Toscani; Federica Costa; Emanuela Vicario; Giannalisa Todaro; Eugenia Martella; Antonino Neri; Nicola Giuliani
Journal:  Haematologica       Date:  2019-03-07       Impact factor: 9.941

3.  Timing of treatment of smoldering myeloma: delay until progression.

Authors:  Shaji K Kumar
Journal:  Blood Adv       Date:  2018-11-13

Review 4.  High-risk smoldering myeloma versus early detection of multiple myeloma: Current models, goals of therapy, and clinical implications.

Authors:  Chutima Kunacheewa; Elisabet E Manasanch
Journal:  Best Pract Res Clin Haematol       Date:  2020-01-25       Impact factor: 3.020

Review 5.  MGUS to myeloma: a mysterious gammopathy of underexplored significance.

Authors:  Madhav V Dhodapkar
Journal:  Blood       Date:  2016-10-13       Impact factor: 22.113

Review 6.  The Changing Landscape of Smoldering Multiple Myeloma: A European Perspective.

Authors:  Jo Caers; Carlos Fernández de Larrea; Xavier Leleu; Roy Heusschen; Niklas Zojer; Olivier Decaux; Efstathios Kastritis; Monique Minnema; Artur Jurczyszyn; Yves Beguin; Ralph Wäsch; Antonio Palumbo; Meletios Dimopoulos; Maria Victoria Mateos; Heinz Ludwig; Monika Engelhardt
Journal:  Oncologist       Date:  2016-02-26

Review 7.  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 8.  Smoldering Multiple Myeloma: Emerging Concepts and Therapeutics.

Authors:  Srinath Sundararajan; Abhijeet Kumar; Neha Korde; Amit Agarwal
Journal:  Curr Hematol Malig Rep       Date:  2016-04       Impact factor: 3.952

9.  Flow cytometry defined cytoplasmic immunoglobulin index is a major prognostic factor for progression of asymptomatic monoclonal gammopathies to multiple myeloma (subset analysis of SWOG S0120).

Authors:  X Papanikolaou; A Rosenthal; M Dhodapkar; J Epstein; R Khan; F van Rhee; Y Jethava; S Waheed; M Zangari; A Hoering; J Crowley; D Alapat; F Davies; G Morgan; B Barlogie
Journal:  Blood Cancer J       Date:  2016-03-25       Impact factor: 11.037

10.  Identification of resistance pathways and therapeutic targets in relapsed multiple myeloma patients through single-cell sequencing.

Authors:  Yael C Cohen; Mor Zada; Shuang-Yin Wang; Chamutal Bornstein; Eyal David; Adi Moshe; Baoguo Li; Shir Shlomi-Loubaton; Moshe E Gatt; Chamutal Gur; Noa Lavi; Chezi Ganzel; Efrat Luttwak; Evgeni Chubar; Ory Rouvio; Iuliana Vaxman; Oren Pasvolsky; Mouna Ballan; Tamar Tadmor; Anatoly Nemets; Osnat Jarchowcky-Dolberg; Olga Shvetz; Meirav Laiba; Ofer Shpilberg; Najib Dally; Irit Avivi; Assaf Weiner; Ido Amit
Journal:  Nat Med       Date:  2021-02-22       Impact factor: 87.241

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