Literature DB >> 17409404

Molecular dissection of hyperdiploid multiple myeloma by gene expression profiling.

Wee J Chng1, Shaji Kumar, Scott Vanwier, Greg Ahmann, Tammy Price-Troska, Kim Henderson, Tae-Hoon Chung, Seungchan Kim, George Mulligan, Barbara Bryant, John Carpten, Morie Gertz, S Vincent Rajkumar, Martha Lacy, Angela Dispenzieri, Robert Kyle, Philip Greipp, P Leif Bergsagel, Rafael Fonseca.   

Abstract

Hyperdiploid multiple myeloma (H-MM) is the most common form of myeloma. In this gene expression profiling study, we show that H-MM is defined by a protein biosynthesis signature that is primarily driven by a gene dosage mechanism as a result of trisomic chromosomes. Within H-MM, four independently validated patient clusters overexpressing nonoverlapping sets of genes that form cognate pathways/networks that have potential biological importance in multiple myeloma were identified. One prominent cluster, cluster 1, is characterized by high expression of cancer testis antigen and proliferation-associated genes. Tumors from these patients were more proliferative than tumors in other clusters (median plasma cell labeling index, 3.8; P < 0.05). Another cluster, cluster 3, is characterized by genes involved in tumor necrosis factor/nuclear factor-kappaB signaling and antiapoptosis. These patients have better response to bortezomib as compared with patients within other clusters (70% versus 29%; P = 0.02). Furthermore, for a group of patients generally thought to have better prognosis, a cluster of patients with short survival (cluster 1; median survival, 27 months) could be identified. This analysis illustrates the heterogeneity within H-MM and the importance of defining specific cytogenetic prognostic factors. Furthermore, the signatures that defined these clusters may provide a basis for tailoring treatment to individual patients.

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Year:  2007        PMID: 17409404     DOI: 10.1158/0008-5472.CAN-06-4046

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  110 in total

1.  Identification of molecular vulnerabilities in human multiple myeloma cells by RNA interference lethality screening of the druggable genome.

Authors:  Rodger E Tiedemann; Yuan Xao Zhu; Jessica Schmidt; Chang Xin Shi; Chris Sereduk; Hongwei Yin; Spyro Mousses; A Keith Stewart
Journal:  Cancer Res       Date:  2011-12-06       Impact factor: 12.701

2.  Cell lines of hyperdiploid myeloma, are we there yet?

Authors:  Wee J Chng; Rafael Fonseca
Journal:  Br J Haematol       Date:  2007-11-19       Impact factor: 6.998

3.  The sialyltransferase ST3GAL6 influences homing and survival in multiple myeloma.

Authors:  Siobhan V Glavey; Salomon Manier; Alessandro Natoni; Antonio Sacco; Michele Moschetta; Michaela R Reagan; Laura S Murillo; Ilyas Sahin; Ping Wu; Yuji Mishima; Yu Zhang; Wenjing Zhang; Yong Zhang; Gareth Morgan; Lokesh Joshi; Aldo M Roccaro; Irene M Ghobrial; Michael E O'Dwyer
Journal:  Blood       Date:  2014-07-24       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.  Establishment and exploitation of hyperdiploid and non-hyperdiploid human myeloma cell lines.

Authors:  Xin Li; Angela Pennisi; Fenghuang Zhan; Jeffrey R Sawyer; John D Shaughnessy; Shmuel Yaccoby
Journal:  Br J Haematol       Date:  2007-09       Impact factor: 6.998

6.  Transcriptome analysis reveals molecular profiles associated with evolving steps of monoclonal gammopathies.

Authors:  Lucía López-Corral; Luis Antonio Corchete; María Eugenia Sarasquete; María Victoria Mateos; Ramón García-Sanz; Encarna Fermiñán; Juan-José Lahuerta; Joan Bladé; Albert Oriol; Ana Isabel Teruel; María Luz Martino; José Hernández; Jesús María Hernández-Rivas; Francisco Javier Burguillo; Jesús F San Miguel; Norma C Gutiérrez
Journal:  Haematologica       Date:  2014-05-09       Impact factor: 9.941

7.  Metabolic signature identifies novel targets for drug resistance in multiple myeloma.

Authors:  Patricia Maiso; Daisy Huynh; Michele Moschetta; Antonio Sacco; Yosra Aljawai; Yuji Mishima; John M Asara; Aldo M Roccaro; Alec C Kimmelman; Irene M Ghobrial
Journal:  Cancer Res       Date:  2015-03-13       Impact factor: 12.701

8.  Cancer-testis antigens MAGE-C1/CT7 and MAGE-A3 promote the survival of multiple myeloma cells.

Authors:  Djordje Atanackovic; York Hildebrandt; Adam Jadczak; Yanran Cao; Tim Luetkens; Sabrina Meyer; Sebastian Kobold; Katrin Bartels; Caroline Pabst; Nesrine Lajmi; Maja Gordic; Tanja Stahl; Axel R Zander; Carsten Bokemeyer; Nicolaus Kröger
Journal:  Haematologica       Date:  2009-12-16       Impact factor: 9.941

9.  Secondary genomic rearrangements involving immunoglobulin or MYC loci show similar prevalences in hyperdiploid and nonhyperdiploid myeloma tumors.

Authors:  Ana Gabrea; Maria Luisa Martelli; Ying Qi; Anna Roschke; Bart Barlogie; John D Shaughnessy; Jeffrey R Sawyer; W Michael Kuehl
Journal:  Genes Chromosomes Cancer       Date:  2008-07       Impact factor: 5.006

10.  RhoA and Rac1 GTPases play major and differential roles in stromal cell-derived factor-1-induced cell adhesion and chemotaxis in multiple myeloma.

Authors:  Abdel Kareem Azab; Feda Azab; Simona Blotta; Costas M Pitsillides; Brian Thompson; Judith M Runnels; Aldo M Roccaro; Hai T Ngo; Molly R Melhem; Antonio Sacco; Xiaoying Jia; Kenneth C Anderson; Charles P Lin; Barrett J Rollins; Irene M Ghobrial
Journal:  Blood       Date:  2009-05-14       Impact factor: 22.113

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