Gene expression profiling for molecular classification of multiple myeloma in newly diagnosed patients

Author:

Broyl Annemiek1,Hose Dirk2,Lokhorst Henk3,de Knegt Yvonne1,Peeters Justine1,Jauch Anna4,Bertsch Uta2,Buijs Arjan5,Stevens-Kroef Marian6,Beverloo H. Berna7,Vellenga Edo8,Zweegman Sonja9,Kersten Marie-Josée10,van der Holt Bronno11,el Jarari Laila11,Mulligan George12,Goldschmidt Hartmut2,van Duin Mark1,Sonneveld Pieter1

Affiliation:

1. Department of Hematology, Erasmus Medical Center and University, Rotterdam, The Netherlands;

2. Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany;

3. Department of Hematology, Utrecht University Medical Center (UMCU), Utrecht, The Netherlands;

4. Institute of Human Genetics, University of Heidelberg, Heidelberg, Germany;

5. Working group on Hemato-oncologic Genome Diagnostics (WHGD), Department of Medical Genetics, UMCU, Utrecht, The Netherlands;

6. WHGD, Department of Human Genetics, UMC St Radboud, Nijmegen, The Netherlands;

7. Department of Clinical Genetics, Erasmus Medical Center, Rotterdam, The Netherlands;

8. Department of Hematology, UMC Groningen, Groningen, The Netherlands;

9. Department of Hematology, VU University Medical Center, Amsterdam, The Netherlands;

10. Department of Hematology, Academic Medical Center, Amsterdam, The Netherlands;

11. HOVON Data Center, Erasmus MC-Daniel den Hoed Cancer Center, Rotterdam, The Netherlands; and

12. Millennium Pharmaceuticals, Cambridge, MA

Abstract

Abstract To identify molecularly defined subgroups in multiple myeloma, gene expression profiling was performed on purified CD138+ plasma cells of 320 newly diagnosed myeloma patients included in the Dutch-Belgian/German HOVON-65/GMMG-HD4 trial. Hierarchical clustering identified 10 subgroups; 6 corresponded to clusters described in the University of Arkansas for Medical Science (UAMS) classification, CD-1 (n = 13, 4.1%), CD-2 (n = 34, 1.6%), MF (n = 32, 1.0%), MS (n = 33, 1.3%), proliferation-associated genes (n = 15, 4.7%), and hyperdiploid (n = 77, 24.1%). Moreover, the UAMS low percentage of bone disease cluster was identified as a subcluster of the MF cluster (n = 15, 4.7%). One subgroup (n = 39, 12.2%) showed a myeloid signature. Three novel subgroups were defined, including a subgroup of 37 patients (11.6%) characterized by high expression of genes involved in the nuclear factor kappa light-chain-enhancer of activated B cells pathway, which include TNFAIP3 and CD40. Another subgroup of 22 patients (6.9%) was characterized by distinct overexpression of cancer testis antigens without overexpression of proliferation genes. The third novel cluster of 9 patients (2.8%) showed up-regulation of protein tyrosine phosphatases PRL-3 and PTPRZ1 as well as SOCS3. To conclude, in addition to 7 clusters described in the UAMS classification, we identified 3 novel subsets of multiple myeloma that may represent unique diagnostic entities.

Publisher

American Society of Hematology

Subject

Cell Biology,Hematology,Immunology,Biochemistry

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