Literature DB >> 16030187

Relationship of patient survival and chromosome anomalies detected in metaphase and/or interphase cells at diagnosis of myeloma.

Gordon W Dewald1, Terry Therneau, Dirk Larson, You Kyoung Lee, Stephanie Fink, Stephanie Smoley, Sarah Paternoster, Adewale Adeyinka, Rhett Ketterling, Daniel L Van Dyke, Rafael Fonseca, Robert Kyle.   

Abstract

The clinical efficacy of evaluating genetic anomalies in metaphase cells versus interphase nuclei for multiple myeloma (MM) is poorly understood. Therefore, survival for 154 patients with newly diagnosed untreated MM was compared with results from analysis of metaphase and interphase cells. Metaphases were studied by conventional cytogenetics and fluorescent-labeled DNA probes (fluorescence in situ hybridization [FISH]), whereas inter-phase nuclei were evaluated only by FISH. All FISH studies were done using DNA probes to detect t(4;14)(p16;q32), t(11;14)(q13;q32), t(14;16)(q32;q23), del(17) (p13.1), and chromosome 13 anomalies. Metaphases were abnormal by cytogenetics and/or metaphase FISH in 61 (40%) patients. Abnormal interphase nuclei were observed in 133 (86%) patients, including each patient with abnormal metaphases. FISH was a necessary adjunct to cytogenetics to detect t(4;14) and t(14;16) in metaphase cells. Patient survival was especially poor for patients with greater than 50% abnormal interphase nuclei, although this result was more likely due to level of plasma cells than specific chromosome anomalies. For metaphase data, patients with t(4;14), t(14;16), del(17) (p13.1), and/or chromosome 13 anomalies (primarily monosomy 13) had poor survival. A different outcome was observed for interphase data as patients with t(4;14) or t(14;16) had poor survival, whereas patients with chromosome 13 anomalies had intermediate survival: interphase FISH did not substitute for metaphase analysis.

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Year:  2005        PMID: 16030187      PMCID: PMC1895058          DOI: 10.1182/blood-2005-05-1981

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


  21 in total

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Journal:  Br J Haematol       Date:  1996-08       Impact factor: 6.998

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Journal:  Leukemia       Date:  2003-02       Impact factor: 11.528

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Journal:  Cancer Genet Cytogenet       Date:  2004-08

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Journal:  Blood       Date:  2003-02-06       Impact factor: 22.113

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Journal:  Blood       Date:  1995-12-01       Impact factor: 22.113

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  22 in total

1.  Novel treatment paradigm for elderly patients with multiple myeloma.

Authors:  Antonio Palumbo; Valeria Magarotto
Journal:  Am J Blood Res       Date:  2011-09-18

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Authors:  Robert Arthur Kyle; William Clifford Roberts
Journal:  Proc (Bayl Univ Med Cent)       Date:  2010-10

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Authors:  Victoria Bedell; Stephen J Forman; Karl Gaal; Vinod Pullarkat; Lawrence M Weiss; Marilyn L Slovak
Journal:  J Mol Diagn       Date:  2007-11       Impact factor: 5.568

Review 4.  Latest advances and current challenges in the treatment of multiple myeloma.

Authors:  Anuj Mahindra; Jacob Laubach; Noopur Raje; Nikhil Munshi; Paul G Richardson; Kenneth Anderson
Journal:  Nat Rev Clin Oncol       Date:  2012-02-21       Impact factor: 66.675

5.  Metaphase cytogenetics and plasma cell proliferation index for risk stratification in newly diagnosed multiple myeloma.

Authors:  Patrick W Mellors; Moritz Binder; Rhett P Ketterling; Patricia T Greipp; Linda B Baughn; Jess F Peterson; Dragan Jevremovic; Kathryn E Pearce; Francis K Buadi; Martha Q Lacy; Morie A Gertz; Angela Dispenzieri; Suzanne R Hayman; Prashant Kapoor; Wilson I Gonsalves; Yi L Hwa; Amie Fonder; Miriam Hobbs; Taxiarchis Kourelis; Rahma Warsame; John A Lust; Nelson Leung; Ronald S Go; Robert A Kyle; S Vincent Rajkumar; Shaji K Kumar
Journal:  Blood Adv       Date:  2020-05-26

6.  Identification of unbalanced genome copy number abnormalities in patients with multiple myeloma by single-nucleotide polymorphism genotyping microarray analysis.

Authors:  Yuhei Kamada; Mamiko Sakata-Yanagimoto; Masashi Sanada; Aiko Sato-Otsubo; Terukazu Enami; Kazumi Suzukawa; Naoki Kurita; Hidekazu Nishikii; Yasuhisa Yokoyama; Yasushi Okoshi; Yuichi Hasegawa; Seishi Ogawa; Shigeru Chiba
Journal:  Int J Hematol       Date:  2012-09-13       Impact factor: 2.490

7.  Extramedullary disease portends poor prognosis in multiple myeloma and is over-represented in high-risk disease even in the era of novel agents.

Authors:  Saad Z Usmani; Christoph Heuck; Alan Mitchell; Jackie Szymonifka; Bijay Nair; Antje Hoering; Yazan Alsayed; Sarah Waheed; Sajjad Haider; Alejandro Restrepo; Frits Van Rhee; John Crowley; Bart Barlogie
Journal:  Haematologica       Date:  2012-06-11       Impact factor: 9.941

8.  Standardization of fluorescence in situ hybridization studies on chronic lymphocytic leukemia (CLL) blood and marrow cells by the CLL Research Consortium.

Authors:  Stephanie A Smoley; Daniel L Van Dyke; Neil E Kay; Nyla A Heerema; Marie L Dell' Aquila; Paola Dal Cin; Prasad Koduru; Ayala Aviram; Laura Rassenti; John C Byrd; Kanti R Rai; Jennifer R Brown; Andrew W Greaves; Jeanette Eckel-Passow; Donna Neuberg; Thomas J Kipps; Gordon W Dewald
Journal:  Cancer Genet Cytogenet       Date:  2010-12

9.  Chromosomal lesions and uniparental disomy detected by SNP arrays in MDS, MDS/MPD, and MDS-derived AML.

Authors:  Lukasz P Gondek; Ramon Tiu; Christine L O'Keefe; Mikkael A Sekeres; Karl S Theil; Jaroslaw P Maciejewski
Journal:  Blood       Date:  2007-10-22       Impact factor: 22.113

10.  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

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