Literature DB >> 12623842

Gene expression profiling of multiple myeloma reveals molecular portraits in relation to the pathogenesis of the disease.

Florence Magrangeas1, Valéry Nasser, Hervé Avet-Loiseau, Béatrice Loriod, Olivier Decaux, Samuel Granjeaud, François Bertucci, Daniel Birnbaum, Catherine Nguyen, Jean-Luc Harousseau, Régis Bataille, Rémi Houlgatte, Stéphane Minvielle.   

Abstract

Although multiple myeloma (MM) is a unique entity, a marked heterogeneity is actually observed among the patients, which has been first related to immunoglobulin (Ig) types and light chain subtypes and more recently to chromosomal abnormalities. To further investigate this genetic heterogeneity, we analyzed gene expression profiles of 92 primary tumors according to their Ig types and light chain subtypes with DNA microarrays. Several clusters of genes involved in various biologic functions such as immune response, cell cycle control, signaling, apoptosis, cell adhesion, and structure significantly discriminated IgA- from IgG-MM. Genes associated with inhibition of differentiation and apoptosis induction were up-regulated while genes associated with immune response, cell cycle control, and apoptosis were down-regulated in IgA-MM. According to the expression of the 61 most discriminating genes, BJ-MM represented a separate subgroup that did not express either the genes characteristic of IgG-MM or those of IgA-MM at a high level. This suggests that transcriptional programs associated to the switch could be maintained up to plasma cell differentiation. Several genes whose products are known to stimulate bone remodeling discriminate between kappa- and lambda-MM. One of these genes, Mip-1alpha, was overexpressed in the kappa subgroup. In addition, we established a strong association (P =.0001) between kappa subgroup expressing high levels of Mip-1alpha and active myeloma bone disease. This study shows that DNA microarrays enable us to perform a molecular dissection of the bioclinical diversity of MM and provide new molecular tools to investigate the pathogenesis of malignant plasma cells.

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Year:  2003        PMID: 12623842     DOI: 10.1182/blood-2002-11-3385

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


  19 in total

1.  The molecular classification of multiple myeloma.

Authors:  Fenghuang Zhan; Yongsheng Huang; Simona Colla; James P Stewart; Ichiro Hanamura; Sushil Gupta; Joshua Epstein; Shmuel Yaccoby; Jeffrey Sawyer; Bart Burington; Elias Anaissie; Klaus Hollmig; Mauricio Pineda-Roman; Guido Tricot; Frits van Rhee; Ronald Walker; Maurizio Zangari; John Crowley; Bart Barlogie; John D Shaughnessy
Journal:  Blood       Date:  2006-05-25       Impact factor: 22.113

Review 2.  Bone disease in multiple myeloma.

Authors:  Øyvind Hjertner; Therese Standal; Magne Børset; Anders Sundan; Anders Waage
Journal:  Med Oncol       Date:  2006       Impact factor: 3.064

3.  High-level expression of the T-cell chemokines CCL3 and CCL4 by chronic lymphocytic leukemia B cells in nurselike cell cocultures and after BCR stimulation.

Authors:  Jan A Burger; Maite P Quiroga; Elena Hartmann; Andrea Bürkle; William G Wierda; Michael J Keating; Andreas Rosenwald
Journal:  Blood       Date:  2008-12-12       Impact factor: 22.113

Review 4.  Genomics in multiple myeloma.

Authors:  Nikhil C Munshi; Hervé Avet-Loiseau
Journal:  Clin Cancer Res       Date:  2011-03-15       Impact factor: 12.531

5.  Impact of gene expression profiling-based risk stratification in patients with myeloma receiving initial therapy with lenalidomide and dexamethasone.

Authors:  Shaji K Kumar; Hajime Uno; Susanna J Jacobus; Scott A Van Wier; Greg J Ahmann; Kimberly J Henderson; Natalie S Callander; Jessica L Haug; David S Siegel; Philip R Greipp; Rafael Fonseca; S Vincent Rajkumar
Journal:  Blood       Date:  2011-08-22       Impact factor: 22.113

6.  Improvement in long-term outcomes with successive Total Therapy trials for multiple myeloma: are patients now being cured?

Authors:  S Z Usmani; J Crowley; A Hoering; A Mitchell; S Waheed; B Nair; Y AlSayed; F Vanrhee; B Barlogie
Journal:  Leukemia       Date:  2012-06-18       Impact factor: 11.528

Review 7.  Multiple Myeloma and Bone: The Fatal Interaction.

Authors:  Silvia Marino; G David Roodman
Journal:  Cold Spring Harb Perspect Med       Date:  2018-08-01       Impact factor: 6.915

8.  Mechanisms of multiple myeloma bone disease.

Authors:  Deborah L Galson; Rebecca Silbermann; G David Roodman
Journal:  Bonekey Rep       Date:  2012-08-01

9.  Identifying bias in CCR1 antagonists using radiolabelled binding, receptor internalization, β-arrestin translocation and chemotaxis assays.

Authors:  A Gilchrist; T D Gauntner; A Fazzini; K M Alley; D S Pyen; J Ahn; S J Ha; A Willett; S E Sansom; J L Yarfi; K A Bachovchin; M R Mazzoni; J R Merritt
Journal:  Br J Pharmacol       Date:  2014-11       Impact factor: 8.739

Review 10.  Input of DNA microarrays to identify novel mechanisms in multiple myeloma biology and therapeutic applications.

Authors:  Karène Mahtouk; Dirk Hose; John De Vos; Jérôme Moreaux; Michel Jourdan; Jean François Rossi; Thierry Rème; Harmut Goldschmidt; Bernard Klein
Journal:  Clin Cancer Res       Date:  2007-12-15       Impact factor: 12.531

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