Literature DB >> 20574050

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

Annemiek Broyl1, Dirk Hose, Henk Lokhorst, Yvonne de Knegt, Justine Peeters, Anna Jauch, Uta Bertsch, Arjan Buijs, Marian Stevens-Kroef, H Berna Beverloo, Edo Vellenga, Sonja Zweegman, Marie-Josée Kersten, Bronno van der Holt, Laila el Jarari, George Mulligan, Hartmut Goldschmidt, Mark van Duin, Pieter Sonneveld.   

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.

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Year:  2010        PMID: 20574050     DOI: 10.1182/blood-2009-12-261032

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


  135 in total

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Authors:  Marta Chesi; P Leif Bergsagel
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2011

2.  Monosomy 13 in metaphase spreads is a predictor of poor long-term outcome after bortezomib plus dexamethasone treatment for relapsed/refractory multiple myeloma.

Authors:  Miki Kiyota; Tsutomu Kobayashi; Shinichi Fuchida; Mio Yamamoto-Sugitani; Muneo Ohshiro; Yuji Shimura; Shinsuke Mizutani; Hisao Nagoshi; Nana Sasaki; Ryuko Nakayama; Yoshiaki Chinen; Natsumi Sakamoto; Hitoji Uchiyama; Yosuke Matsumoto; Shigeo Horiike; Chihiro Shimazaki; Junya Kuroda; Masafumi Taniwaki
Journal:  Int J Hematol       Date:  2012-03-17       Impact factor: 2.490

3.  Guest editorial: understanding the pathogenesis and the evolving treatment paradigm for multiple myeloma in the era of novel agents.

Authors:  Masahiro Abe
Journal:  Int J Hematol       Date:  2011-10-13       Impact factor: 2.490

Review 4.  The use of molecular-based risk stratification and pharmacogenomics for outcome prediction and personalized therapeutic management of multiple myeloma.

Authors:  Sarah K Johnson; Christoph J Heuck; Anthony P Albino; Pingping Qu; Qing Zhang; Bart Barlogie; John D Shaughnessy
Journal:  Int J Hematol       Date:  2011-10-15       Impact factor: 2.490

5.  Myeloma cells contain high levels of inorganic polyphosphate which is associated with nucleolar transcription.

Authors:  Maria D Jimenez-Nuñez; David Moreno-Sanchez; Laura Hernandez-Ruiz; Alicia Benítez-Rondán; Ana Ramos-Amaya; Beatriz Rodríguez-Bayona; Francisco Medina; José Antonio Brieva; Felix A Ruiz
Journal:  Haematologica       Date:  2012-02-07       Impact factor: 9.941

Review 6.  Inherited genetic susceptibility to multiple myeloma.

Authors:  G J Morgan; D C Johnson; N Weinhold; H Goldschmidt; O Landgren; H T Lynch; K Hemminki; R S Houlston
Journal:  Leukemia       Date:  2013-11-19       Impact factor: 11.528

Review 7.  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

8.  EphA3 targeting reduces in vitro adhesion and invasion and in vivo growth and angiogenesis of multiple myeloma cells.

Authors:  Francesco La Rocca; Irma Airoldi; Emma Di Carlo; Pina Marotta; Geppino Falco; Vittorio Simeon; Ilaria Laurenzana; Stefania Trino; Luciana De Luca; Katia Todoerti; Oreste Villani; Martin Lackmann; Fiorella D'Auria; Francesco Frassoni; Antonino Neri; Luigi Del Vecchio; Pellegrino Musto; Daniela Cilloni; Antonella Caivano
Journal:  Cell Oncol (Dordr)       Date:  2017-07-18       Impact factor: 6.730

Review 9.  Molecular pathogenesis of multiple myeloma: basic and clinical updates.

Authors:  Marta Chesi; P Leif Bergsagel
Journal:  Int J Hematol       Date:  2013-02-28       Impact factor: 2.490

10.  Uncovering the biology of multiple myeloma among African Americans: a comprehensive genomics approach.

Authors:  Angela Baker; Esteban Braggio; Susanna Jacobus; Sungwon Jung; Dirk Larson; Terry Therneau; Angela Dispenzieri; Scott A Van Wier; Gregory Ahmann; Joan Levy; Louise Perkins; Seungchan Kim; Kimberly Henderson; David Vesole; S Vincent Rajkumar; Diane F Jelinek; John Carpten; Rafael Fonseca
Journal:  Blood       Date:  2013-02-19       Impact factor: 22.113

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