Literature DB >> 9172003

Molecular cytogenetic abnormalities in multiple myeloma and plasma cell leukemia measured using comparative genomic hybridization.

H Avet-Loiseau1, L E Andree-Ashley, D Moore, M P Mellerin, J Feusner, R Bataille, M G Pallavicini.   

Abstract

Comparative genomic hybridization (CGH) was used to identify recurrent regions of DNA sequence loss and gain in 21 multiple myeloma (MM) and plasma cell leukemia (PCL) primary tumor specimens and cell lines. Multiple regions of non-random sequence loss and gain were observed in 8/8 primary advanced stage tumors and 13/13 cell lines. Identification of sequence copy number changes was facilitated by statistical analyses that reduce subjectivity associated with identification of copy number changes and by requiring that sequence changes are visible using both red- and green-labeled tumor DNA. Loss of sequence on 13q and 14q and gain of sequence on 1q and chromosome 7 occurred in 50-60% of the population. In general, cell lines carry more and larger regions of sequence gain and loss than primary tumors. Regions of sequence copy number change that recur among MM cell lines and primary tumors include, in order of prevalence, enh(1q12qter), dim(13), enh(7), enh(3q22q29), enh(11q13.3qter), dim(14q11.2q31), enh(8q21qter), enh(3p25pter), dim(17p11.2p13), and dim(6q22.1q23). Population distributions of genome-wide changes in primary tumors reveal "hot-spots" of sequence loss from 13q12.1-q21, 13q32-q34, 14q11.2-q13, and 14q23-q31. Genomic changes detected using CGH are consistent with those identified using banding analyses, although recurrent involvement of additional regions of the genome are also evident. A higher prevalence of genomic changes is visible using CGH compared to banding. Identification of recurrent regions of sequence gain and loss provides opportunities to identify regions of the genome that may be involved in the malignant phenotype and/or disease progression.

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Year:  1997        PMID: 9172003     DOI: 10.1002/(sici)1098-2264(199706)19:2<124::aid-gcc8>3.0.co;2-0

Source DB:  PubMed          Journal:  Genes Chromosomes Cancer        ISSN: 1045-2257            Impact factor:   5.006


  14 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

Review 2.  DNA copy number amplifications in human neoplasms: review of comparative genomic hybridization studies.

Authors:  S Knuutila; A M Björkqvist; K Autio; M Tarkkanen; M Wolf; O Monni; J Szymanska; M L Larramendy; J Tapper; H Pere; W El-Rifai; S Hemmer; V M Wasenius; V Vidgren; Y Zhu
Journal:  Am J Pathol       Date:  1998-05       Impact factor: 4.307

3.  Antibody-drug conjugate targeting CD46 eliminates multiple myeloma cells.

Authors:  Daniel W Sherbenou; Blake T Aftab; Yang Su; Christopher R Behrens; Arun Wiita; Aaron C Logan; Diego Acosta-Alvear; Byron C Hann; Peter Walter; Marc A Shuman; Xiaobo Wu; John P Atkinson; Jeffrey L Wolf; Thomas G Martin; Bin Liu
Journal:  J Clin Invest       Date:  2016-11-14       Impact factor: 14.808

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

5.  Frequent gain of chromosome band 1q21 in plasma-cell dyscrasias detected by fluorescence in situ hybridization: incidence increases from MGUS to relapsed myeloma and is related to prognosis and disease progression following tandem stem-cell transplantation.

Authors:  Ichiro Hanamura; James P Stewart; Yongsheng Huang; Fenghuang Zhan; Madhumita Santra; Jeffrey R Sawyer; Klaus Hollmig; Maurizio Zangarri; Mauricio Pineda-Roman; Frits van Rhee; Federica Cavallo; Bart Burington; John Crowley; Guido Tricot; Bart Barlogie; John D Shaughnessy
Journal:  Blood       Date:  2006-05-16       Impact factor: 22.113

6.  TP53 deletion is not an adverse feature in multiple myeloma treated with total therapy 3.

Authors:  John D Shaughnessy; Yiming Zhou; Jeff Haessler; Frits van Rhee; Elias Anaissie; Bijay Nair; Sarah Waheed; Yazan Alsayed; Joshua Epstein; John Crowley; Bart Barlogie
Journal:  Br J Haematol       Date:  2009-08-21       Impact factor: 6.998

7.  Neurobeachin (NBEA) is a target of recurrent interstitial deletions at 13q13 in patients with MGUS and multiple myeloma.

Authors:  Julie O'Neal; Feng Gao; Anjum Hassan; Ryan Monahan; Samantha Barrios; Manfred W Kilimann; Ian Lee; Wee J Chng; Ravi Vij; Michael H Tomasson
Journal:  Exp Hematol       Date:  2009-02       Impact factor: 3.084

Review 8.  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 9.  Molecular aspects of multiple myeloma.

Authors:  G Pratt
Journal:  Mol Pathol       Date:  2002-10

10.  Overexpression of PDZK1 within the 1q12-q22 amplicon is likely to be associated with drug-resistance phenotype in multiple myeloma.

Authors:  Jun Inoue; Takemi Otsuki; Akira Hirasawa; Issei Imoto; Yoshinobu Matsuo; Shiroh Shimizu; Masafumi Taniwaki; Johji Inazawa
Journal:  Am J Pathol       Date:  2004-07       Impact factor: 4.307

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