Literature DB >> 15238415

Prognostic and biologic significance of chromosomal imbalances assessed by comparative genomic hybridization in multiple myeloma.

Norma C Gutiérrez1, Juan L García, Jesús M Hernández, Eva Lumbreras, Mariana Castellanos, Ana Rasillo, Gema Mateo, José M Hernández, Sonia Pérez, Alberto Orfao, Jesús F San Miguel.   

Abstract

Cytogenetic abnormalities, evaluated either by karyotype or by fluorescence in situ hybridization (FISH), are considered the most important prognostic factor in multiple myeloma (MM). However, there is no information about the prognostic impact of genomic changes detected by comparative genomic hybridization (CGH). We have analyzed the frequency and prognostic impact of genetic changes as detected by CGH and evaluated the relationship between these chromosomal imbalances and IGH translocation, analyzed by FISH, in 74 patients with newly diagnosed MM. Genomic changes were identified in 51 (69%) of the 74 MM patients. The most recurrent abnormalities among the cases with genomic changes were gains on chromosome regions 1q (45%), 5q (24%), 9q (24%), 11q (22%), 15q (22%), 3q (16%), and 7q (14%), while losses mainly involved chromosomes 13 (39%), 16q (18%), 6q (10%), and 8p (10%). Remarkably, the 6 patients with gains on 11q had IGH translocations. Multivariate analysis selected chromosomal losses, 11q gains, age, and type of treatment (conventional chemotherapy vs autologous transplantation) as independent parameters for predicting survival. Genomic losses retained the prognostic value irrespective of treatment approach. According to these results, losses of chromosomal material evaluated by CGH represent a powerful prognostic factor in MM patients.

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Year:  2004        PMID: 15238415     DOI: 10.1182/blood-2004-04-1319

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


  25 in total

1.  Dysregulation of miRNAs in AL amyloidosis.

Authors:  Liangping Weng; Brian H Spencer; Pamela T SoohHoo; Lawreen H Connors; Carl J O'Hara; David C Seldin
Journal:  Amyloid       Date:  2011-08-11       Impact factor: 7.141

2.  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

3.  Evidence of a role for the novel zinc-finger transcription factor ZKSCAN3 in modulating Cyclin D2 expression in multiple myeloma.

Authors:  L Yang; H Wang; S M Kornblau; D A Graber; N Zhang; J A Matthews; M Wang; D M Weber; S K Thomas; J J Shah; L Zhang; G Lu; M Zhao; R Muddasani; S-Y Yoo; K A Baggerly; R Z Orlowski
Journal:  Oncogene       Date:  2010-11-08       Impact factor: 9.867

4.  CKS1B nuclear expression is inversely correlated with p27Kip1 expression and is predictive of an adverse survival in patients with multiple myeloma.

Authors:  Hong Chang; Nan Jiang; Hua Jiang; Manujendra N Saha; Connie Qi; Wei Xu; Donna Reece
Journal:  Haematologica       Date:  2010-04-26       Impact factor: 9.941

Review 5.  Smoldering (asymptomatic) multiple myeloma: current diagnostic criteria, new predictors of outcome, and follow-up recommendations.

Authors:  Joan Bladé; Meletios Dimopoulos; Laura Rosiñol; S Vincent Rajkumar; Robert A Kyle
Journal:  J Clin Oncol       Date:  2009-12-21       Impact factor: 44.544

6.  Interphase fluorescence in situ hybridization in untreated AL amyloidosis has an independent prognostic impact by abnormality type and treatment category.

Authors:  E Muchtar; A Dispenzieri; S K Kumar; R P Ketterling; D Dingli; M Q Lacy; F K Buadi; S R Hayman; P Kapoor; N Leung; R Chakraborty; W Gonsalves; R Warsame; T V Kourelis; S Russell; J A Lust; Y Lin; R S Go; S Zeldenrust; R A Kyle; S V Rajkumar; M A Gertz
Journal:  Leukemia       Date:  2016-12-01       Impact factor: 11.528

7.  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

8.  Close relation between 14q32/IGH translocations and chromosome 13 abnormalities in multiple myeloma: a high incidence of 11q13/CCND1 and 16q23/MAF.

Authors:  Madoka Takimoto; Kohei Ogawa; Yo Kato; Tasuku Saito; Takao Suzuki; Michiko Irei; Yasushi Shibuya; Yoshinori Suzuki; Masayuki Kato; Yasuyuki Inoue; Masatomo Takahashi; Hiroki Sugimori; Ikuo Miura
Journal:  Int J Hematol       Date:  2008-02-16       Impact factor: 2.490

Review 9.  The molecular characterization and clinical management of multiple myeloma in the post-genome era.

Authors:  Y Zhou; B Barlogie; J D Shaughnessy
Journal:  Leukemia       Date:  2009-08-06       Impact factor: 11.528

Review 10.  Molecular biology of myeloma.

Authors:  N C Gutiérrez; R García-Sanz; J F San Miguel
Journal:  Clin Transl Oncol       Date:  2007-10       Impact factor: 3.405

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