Literature DB >> 12962165

Primer on medical genomics. Part IX: scientific and clinical applications of DNA microarrays--multiple myeloma as a disease model.

John Shaughnessy1.   

Abstract

Multiple myeloma (MM) is a poorly understood and uniformly fatal malignancy of antibody-secreting plasma cells. Although several key molecular events in disease initiation or progression have been confirmed (eg, 14q32 translocations) or implicated (eg, chromosome 13 deletion), a unifying mechanism of myelomagenesis has eluded investigators. Furthermore, although MM is generally indistinguishable morphologically, it exhibits a tremendous degree of variability clinically with some patients surviving only months and others many years, suggesting that MM is composed of distinct clinical entities. Given that abnormal gene expression lies at the heart of most, if not all, cancers, high-throughput global gene expression profiling has become a powerful tool for investigating the molecular biology and clinical behavior of cancer. DNA microarray technology has facilitated the simultaneous quantification of thousands of cellular messenger RNAs (ie, gene expression). This review discusses progress made in the development of molecular-based diagnostics and prognostics for MM through the dissection of the transcriptome of plasma cells from healthy individuals and patients with MM and other plasma cell dyscrasias.

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Year:  2003        PMID: 12962165     DOI: 10.4065/78.9.1098

Source DB:  PubMed          Journal:  Mayo Clin Proc        ISSN: 0025-6196            Impact factor:   7.616


  3 in total

Review 1.  Validation and quality control of protein microarray-based analytical methods.

Authors:  Larry J Kricka; Stephen R Master
Journal:  Mol Biotechnol       Date:  2007-08-03       Impact factor: 2.695

2.  Gene expression profiles of tumor biology provide a novel approach to prognosis and may guide the selection of therapeutic targets in multiple myeloma.

Authors:  Ariel Anguiano; Sascha A Tuchman; Chaitanya Acharya; Kelly Salter; Cristina Gasparetto; Fenghuang Zhan; Madhav Dhodapkar; Joseph Nevins; Bart Barlogie; John D Shaughnessy; Anil Potti
Journal:  J Clin Oncol       Date:  2009-07-27       Impact factor: 44.544

3.  Mayo Clinic Proceedings 2004: A view of the present, a peek at the future.

Authors:  William L Lanier
Journal:  Mayo Clin Proc       Date:  2004-01       Impact factor: 7.616

  3 in total

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