Literature DB >> 12430902

Integrating cytogenetics and gene expression profiling in the molecular analysis of multiple myeloma.

John D Shaughnessy1, Bart Barlogie.   

Abstract

Multiple Myeloma (MM), is a currently incurable malignancy of a terminally differentiated antibody secreting plasma cell (PC) that can be controlled with high dose therapy and stem cell support. Conventional cytogenetic analysis has revealed a genomic instability that sets MM apart from the other blood cell cancers. In spite of this "genomic chaos" recurrent structural rearrangements and ploidy changes have aided the identification of important molecular mechanisms of disease etiology and that have also proved to be useful clinical landmarks. Yet, abnormal cytogenetics, present in only 30% of cases, combined with other clinical parameters, only account for 20% of the variability in clinical outcome, which can range from 2 months to > 10 years. Thus, the genomic chaos may mask a unifying chromosome abnormality, e.g. Philadelphia chromosome in CML, or may indicate that MM is a broad descriptor of constellation of many distinct clinical and molecular entities. The advent of microarray profiling of global gene expression patterns is providing evidence that both of these possibilities may be true. We will discuss how the integration of conventional and molecular cytogenetics with gene expression profiling has confirmed past observations and, yet fundamentally changed the way we view the disease.

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Year:  2002        PMID: 12430902     DOI: 10.1007/bf03165089

Source DB:  PubMed          Journal:  Int J Hematol        ISSN: 0925-5710            Impact factor:   2.490


  43 in total

1.  Results of high-dose therapy for 1000 patients with multiple myeloma: durable complete remissions and superior survival in the absence of chromosome 13 abnormalities.

Authors:  R Desikan; B Barlogie; J Sawyer; D Ayers; G Tricot; A Badros; M Zangari; N C Munshi; E Anaissie; D Spoon; D Siegel; S Jagannath; D Vesole; J Epstein; J Shaughnessy; A Fassas; S Lim; P Roberson; J Crowley
Journal:  Blood       Date:  2000-06-15       Impact factor: 22.113

2.  Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning.

Authors:  Margaret A Shipp; Ken N Ross; Pablo Tamayo; Andrew P Weng; Jeffery L Kutok; Ricardo C T Aguiar; Michelle Gaasenbeek; Michael Angelo; Michael Reich; Geraldine S Pinkus; Tane S Ray; Margaret A Koval; Kim W Last; Andrew Norton; T Andrew Lister; Jill Mesirov; Donna S Neuberg; Eric S Lander; Jon C Aster; Todd R Golub
Journal:  Nat Med       Date:  2002-01       Impact factor: 53.440

3.  Deletion of 13q14 remains an independent adverse prognostic variable in multiple myeloma despite its frequent detection by interphase fluorescence in situ hybridization.

Authors:  N Zojer; R Königsberg; J Ackermann; E Fritz; S Dallinger; E Krömer; H Kaufmann; L Riedl; H Gisslinger; S Schreiber; R Heinz; H Ludwig; H Huber; J Drach
Journal:  Blood       Date:  2000-03-15       Impact factor: 22.113

4.  Frequent translocation t(4;14)(p16.3;q32.3) in multiple myeloma is associated with increased expression and activating mutations of fibroblast growth factor receptor 3.

Authors:  M Chesi; E Nardini; L A Brents; E Schröck; T Ried; W M Kuehl; P L Bergsagel
Journal:  Nat Genet       Date:  1997-07       Impact factor: 38.330

5.  Cyclin D3 at 6p21 is dysregulated by recurrent chromosomal translocations to immunoglobulin loci in multiple myeloma.

Authors:  J Shaughnessy; A Gabrea; Y Qi; L Brents; F Zhan; E Tian; J Sawyer; B Barlogie; P L Bergsagel; M Kuehl
Journal:  Blood       Date:  2001-07-01       Impact factor: 22.113

6.  Quantitative monitoring of gene expression patterns with a complementary DNA microarray.

Authors:  M Schena; D Shalon; R W Davis; P O Brown
Journal:  Science       Date:  1995-10-20       Impact factor: 47.728

7.  High incidence of chromosome 13 deletion in multiple myeloma detected by multiprobe interphase FISH.

Authors:  J Shaughnessy; E Tian; J Sawyer; K Bumm; R Landes; A Badros; C Morris; G Tricot; J Epstein; B Barlogie
Journal:  Blood       Date:  2000-08-15       Impact factor: 22.113

8.  Cluster analysis and display of genome-wide expression patterns.

Authors:  M B Eisen; P T Spellman; P O Brown; D Botstein
Journal:  Proc Natl Acad Sci U S A       Date:  1998-12-08       Impact factor: 11.205

9.  Gene expression correlates of clinical prostate cancer behavior.

Authors:  Dinesh Singh; Phillip G Febbo; Kenneth Ross; Donald G Jackson; Judith Manola; Christine Ladd; Pablo Tamayo; Andrew A Renshaw; Anthony V D'Amico; Jerome P Richie; Eric S Lander; Massimo Loda; Philip W Kantoff; Todd R Golub; William R Sellers
Journal:  Cancer Cell       Date:  2002-03       Impact factor: 31.743

10.  Poor prognosis in multiple myeloma is associated only with partial or complete deletions of chromosome 13 or abnormalities involving 11q and not with other karyotype abnormalities.

Authors:  G Tricot; B Barlogie; S Jagannath; D Bracy; S Mattox; D H Vesole; S Naucke; J R Sawyer
Journal:  Blood       Date:  1995-12-01       Impact factor: 22.113

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  4 in total

1.  Improvement in long-term outcomes with successive Total Therapy trials for multiple myeloma: are patients now being cured?

Authors:  S Z Usmani; J Crowley; A Hoering; A Mitchell; S Waheed; B Nair; Y AlSayed; F Vanrhee; B Barlogie
Journal:  Leukemia       Date:  2012-06-18       Impact factor: 11.528

2.  Detection of a rare BCR-ABL tyrosine kinase fusion protein in H929 multiple myeloma cells using immunoprecipitation (IP)-tandem mass spectrometry (MS/MS).

Authors:  Susanne B Breitkopf; Min Yuan; German A Pihan; John M Asara
Journal:  Proc Natl Acad Sci U S A       Date:  2012-09-17       Impact factor: 11.205

3.  Comparison of array-based comparative genomic hybridization with gene expression-based regional expression biases to identify genetic abnormalities in hepatocellular carcinoma.

Authors:  Kyle A Furge; Karl J Dykema; Coral Ho; Xin Chen
Journal:  BMC Genomics       Date:  2005-05-09       Impact factor: 3.969

4.  Characterization of the role of Samsn1 loss in multiple myeloma development.

Authors:  Natasha L Friend; Duncan R Hewett; Vasilios Panagopoulos; Jacqueline E Noll; Kate Vandyke; Krzysztof M Mrozik; Stephen Fitter; Andrew C W Zannettino
Journal:  FASEB Bioadv       Date:  2020-08-05
  4 in total

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