Literature DB >> 11830525

Biological and prognostic significance of interphase fluorescence in situ hybridization detection of chromosome 13 abnormalities (delta13) in multiple myeloma: an eastern cooperative oncology group study.

Rafael Fonseca1, David Harrington, Martin M Oken, Gordon W Dewald, Richard J Bailey, Scott A Van Wier, Kimberly J Henderson, Emily A Blood, S Vincent Rajkumar, Neil E Kay, Brian Van Ness, Philip R Greipp.   

Abstract

Chromosome 13 abnormalities (Delta13) have been associated with an unfavorable prognosis in patients with multiple myeloma (MM). The significance of this has been unresolved because of diverse methods of detection and heterogeneous groups of patients. We conducted a study of Delta13 in patients entered into the Eastern Cooperative Oncology Group trial E9486/E9487. Patients with newly diagnosed MM (median follow-up of survivors >100 months) were studied for Delta13, using bone marrow samples obtained at study enrollment. We used interphase fluorescence in situ hybridization with the probes LSI13 (Rb)/D13S319 with simultaneous immunofluorescence detection of bone marrow plasma cells (PCs). We detected Delta13 in 176 of 325 (54%) evaluable patients. Patients with Delta13 were more likely to have a serum monoclonal protein at a concentration < or =1 g/dl (22 versus 13%; P = 0.04), light-chain-only MM (19.3 versus 10.8%; P = 0.04), gamma light chain (42 versus 28%; P = 0.027), stage III (56 versus 42%; P = 0.014), and be female (60 versus 50%; P = 0.087). The PC labeling index and Delta13 correlated (P = 0.03). Patients with Delta13 were less likely to respond to treatment (74 versus 63%; P = 0.041) and had a significantly shorter median overall survival (34.9 versus 51 months; P = 0.021). The association of Delta13 and survival remained an independent prognostic variable in a regression model. Among patients with Delta13, those receiving IFN had a worse overall survival that those not receiving the medication (P = 0.03). The presence of Delta13 is an important and independent adverse prognostic factor in newly diagnosed MM and is associated with specific biological features.

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Year:  2002        PMID: 11830525

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


  37 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

2.  Do beta2 microglobulin levels affect survival of newly diagnosed myeloma patients with translocation t(4;14) or 17p13 deletion treated with conventional chemotherapy?

Authors:  W J Chng; S Jacobus; R Fonseca
Journal:  Leukemia       Date:  2007-11-29       Impact factor: 11.528

3.  Lenalidomide maintenance for high-risk multiple myeloma after allogeneic hematopoietic cell transplantation.

Authors:  Melissa Alsina; Pamela S Becker; Xiaobo Zhong; Alexia Adams; Parameswaran Hari; Scott Rowley; Edward A Stadtmauer; David H Vesole; Brent Logan; Daniel Weisdorf; Muzaffar Qazilbash; Leslie L Popplewell; Brian McClune; William Bensinger; Marcie Riches; Sergio A Giralt; Marcelo C Pasquini
Journal:  Biol Blood Marrow Transplant       Date:  2014-04-21       Impact factor: 5.742

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.  Relationship between elevated immunoglobulin free light chain and the presence of IgH translocations in multiple myeloma.

Authors:  S Kumar; L Zhang; A Dispenzieri; S Van Wier; J A Katzmann; M Snyder; E Blood; R DeGoey; K Henderson; R A Kyle; A R Bradwell; P R Greipp; S V Rajkumar; R Fonseca
Journal:  Leukemia       Date:  2010-06-03       Impact factor: 11.528

Review 6.  Risk Stratification in Multiple Myeloma in Indian Settings.

Authors:  Rajan Kapoor; Rajiv Kumar; A P Dubey
Journal:  Indian J Hematol Blood Transfus       Date:  2019-12-14       Impact factor: 0.900

7.  A practical approach to the detection of prognostically significant genomic aberrations in multiple myeloma.

Authors:  Zhong Chen; Bonnie Issa; Shiang Huang; Emily Aston; Jia Xu; Margaret Yu; Arthur R Brothman; Martha Glenn
Journal:  J Mol Diagn       Date:  2005-11       Impact factor: 5.568

8.  Management of newly diagnosed symptomatic multiple myeloma: updated Mayo Stratification of Myeloma and Risk-Adapted Therapy (mSMART) consensus guidelines.

Authors:  Shaji K Kumar; Joseph R Mikhael; Francis K Buadi; David Dingli; Angela Dispenzieri; Rafael Fonseca; Morie A Gertz; Philip R Greipp; Suzanne R Hayman; Robert A Kyle; Martha Q Lacy; John A Lust; Craig B Reeder; Vivek Roy; Stephen J Russell; Kristen E Detweiler Short; A Keith Stewart; Thomas E Witzig; Steven R Zeldenrust; Robert J Dalton; S Vincent Rajkumar; P Leif Bergsagel
Journal:  Mayo Clin Proc       Date:  2009-12       Impact factor: 7.616

9.  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

10.  Multiparameter flow cytometry quantification of bone marrow plasma cells at diagnosis provides more prognostic information than morphological assessment in myeloma patients.

Authors:  Bruno Paiva; Maria-Belén Vidriales; Jose J Pérez; Gema Mateo; Maria Angeles Montalbán; Maria Victoria Mateos; Joan Bladé; Juan José Lahuerta; Alberto Orfao; Jesús F San Miguel
Journal:  Haematologica       Date:  2009-11       Impact factor: 9.941

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